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Cantaurus “...Grasp the trunk hard only, and you will shake all the branches.” Journal of McPherson College Science Volume 19 May 2011 Cantaurus Journal of McPherson College Science Volume 19 Amanda Aragon Karissa Ferrell May 2011 Abdominal Strength vs. Speed in Female College Athletes 2-4 What is the Prevalence of MRSA in a Health Care Setting Compared to a Community Setting? 5-10 Isolation, Characterization, and Quantitation of Isoxanthopterin from Drosophila melangolaster Strains Wild Type and White Apricot 11-14 What is the Prevalence of MRSA in an Elementary School Setting Compared to a Hospital Setting? 15-18 Zachery Hlad Quantitative Survey of Zebra Mussels (Dreissna polymorpha) Within Wilson Lake and Kanopolis Lake 19-22 Dylan Jandreau A Comparison of the Prevalence of Tinea pedis in Morrison and Bittinger Shower Drains of McPherson College 23-25 ` Christover Lange What is the Distribution of Lung Capacity Amongst McPherson College Students? 26-28 Tecie Turner Comparison of Coping Self-Efficacy Levels Between Freshman and Seniors at Scott Community High School 29-31 The Effectiveness of Multi-Purpose Solutions Against Clinically Isolated Micro-Organisms 32-36 Research Awards in the Natural Sciences 37-38 Cumulative Index, Volumes 1-19 39-43 Austin Froese Kelley Green Ashley Zodrow Cover: The artwork on the cover is an original work by Dee Erway, Program Director for Graphic Design at McPherson College. The quotation is taken from Wendell Berry's essay, The Loss of the University, (p. 82 in Home Economics, North Point Press, 1987) in which he references the book Samuel Johnson, by W. Jackson Bate (Harcourt Brace Jovanovich, 1977, p. 51) as follows: "Dr. Johnson told Mrs. Thrale that his cousin, Cornelius Ford, `advised him to study the Principles of everything, that a general Acquaintance with Life might be the Consequence of his Enquiries - Learn said he the leading Precognita of all things ... grasp the Trunk hard only, and you will shake all the Branches.'" Cantaurus is an official publication of the Division of Science and Technology, McPherson College, McPherson, KS. The purpose of this journal is to publish the results of original research conducted by students majoring in the natural sciences at McPherson College. The research published herein represents partial fulfillment of the requirements for the B.S. degree at McPherson College. Midwest Oilseeds, of Adel, Iowa is gratefully recognized for its generous financial support of student research at McPherson College. Harry H. Stine, class of 1963, is President and CEO of Midwest Oilseeds. Cantaurus, Vol. 19, 2-4, May 2011 © McPherson College Division of Science and Technology Abdominal Strength vs. Speed in Female College Athletes Amanda Aragon ABSTRACT Abdominal strength may be contributed to the speed at which you run. Using the McPherson College Women’s soccer team, I tested to see if abdominal strength played a role in speed in 10 soccer players. I measured the weight, BMI (Body Mass Index), and abdominal strength before workouts started along with the 40, 100, and 200 yard sprints. They then did abdominal workouts for about 20 minutes, three times a week, for six weeks. I repeated the measurements of their weight, BMI, abdominal strength and the three sprints after the six weeks of workouts. I also took their height, arm length, and torso length and along with weight and BMI, used those to make sure none of them had an effect on my results. My results showed that speed only increased on the 100 yard sprint with increased abdominal strength. In the 40 and 200 yard sprints, the speed decreased with increased abdominal strength. There was no significant correlation between any of results except for the difference in weight and the difference in abdominal strength along with the difference in BMI and the difference in abdominal strength. Meaning that people who weighted more, tended to through the ball further and people with an increase in their weight, their BMI’s also increased (directly related to each other). There was also not a great enough difference with pre and post weight and BMI. There however was a great enough difference that it wasn’t due to chance with the pre and post 40, 100, 200 and abdominal strength changes. With increased abdominal strength, the time for the 40 and 200 yard sprints increased with increased abdominal strength, while the time for the 100 yard spring decreased with sprint time. Abdominal strength was shown to increase speed on an average sprint, opposed to a short sprint or a longer sprint. Keywords: abdominal strength, female collegiate athletes, sprinting. INTRODUCTION Having core strength is defined as the ability to control the position and motion of the trunk over the pelvis to allow optimum production, transfer and control of force and motion to the terminal segment. (French, 2008). When the core is strong it helps with the transfer of energy from the larger torso to the smaller extremities, which can help relieve joints from stress. Having and maintaining a strong core results in core stability which then results in being able to maximize force generations and decrease joint loads when doing activities like running or throwing.(Kibler, 2006). It allows the proper alignment of the spine and pelvis while limbs are moving. With less joint loads, there is less stress being put on joints, which will help to keep joints healthier and not cause pain. Speed is also defined as sprinting which is when someone runs a short distance at their top speed. A toned core is very helpful and important for athletes. A toned midsection has the functions of stability and force generation and is involved in almost all activities like running, kicking, and throwing. (Borghuis, 2008). Core strength will help maximize the potential of all extremities. In addition to a strong core being helpful to athletes’ performances, it is also helpful in the fact that a strong core helps with the prevention of injuries. Research has found that having an unstable core can lead to pain in other parts of the body. The knee is one of the major parts of the body that is a victim of core instability during exercise. (Borghuis, 2008). The knee can be a victim because when the core isn’t strong, it causes the hips to rotate inside along with the tibia to rotate inwards also. This in turn causes the knee to tract tilted inwards instead of up and down. It is found that lower extremity injuries can cause back pain in the future from poor muscle endurance since the lower extremity injuries prevent the athlete from participating in sports. Athletes with a strong core have good balance and stability which is crucial for an athlete. Having these two key components helps to prevent the athlete from injuring them self, which allows the athlete to perform at their best. They will be able to run at their highest speed since they will not be injured. There have been a couple of experiments that tested the effect of abdominal strength on different types of speed. There was a study done with 57 elite male athletes and 14 elite female athletes along with 87 normal people that ranged from 18-22 years old. They used an isokinetic technique to measure the maximum torque in the core during lateral flexion and flexion and extension. The results showed that the more elite athletes produced more than the normal people of each gender. (Andersson, 1988).There have been similar studies done where other muscle groups such as calves and thighs were measure to compare the effect that they had on speed as well. I want to take the definition of abdominal strength (the ability to control the position and motion of the trunk over the pelvis to allow optimum production, Abdominal Strength vs. Speed – Aragon transfer and control of force and motion to the terminal segment) and compare and see if there is any kind of correlation with the definition of speed (when someone runs a short distance at their top speed.) With all of this information on the abdomen and with myself being an athlete, I want to see if having a stronger abdomen affects the speed of an athlete. I will also take into consideration the height, weight and BMI (Body Mass Index) of each athlete I test. I will do a before and after evaluation of these things. I want to have the athlete do an abdominal workout three times a week for six weeks. I will also test the athletes’ abdominal strength and speeds before doing the workouts by having then throw in a ball and also run 40, 100 and 200 yard sprints. Then after six weeks I will re-evaluate their speeds along with their weight, BMI and abdominal strength. I will then compare the results. 3 RESULTS With each measurement I took, I noticed that the abdominal strength in eight out of the 11 increased, one of the 11 decreased, one of the 11 stayed the same and one of the 11 was voided because she got hurt and couldn’t finish the experiment. As far as weight and BMI goes five of the 11, weight and BMI increased, two of the 11, weight and BMI decreased and three of the 11 stayed the same and one of the 11 was again voided. For the 200 yard sprint nine of the 11 speed increased, one of the 11 speed decreased and one of the 11 was voided. For the 100 yard sprint, the results were completely opposite. Nine of the 11 speed decreased, while one of the 11 speeds increased and one of the 11 was voided. Lastly, for the 40 yard sprint, eight of the 11 speed increased, while two of the 11 speed decreased and one of the 11 was voided. MATERIALS AND METHODS I started off with talking to Dan Hoffman about the different ways of measuring abdominal strength and which one he believes will help me out the most. The next part of my experiment was to get permission for a couple different things. I had to talk to my soccer coach, Robert Talley and get his approval to us the McPherson College Women’s Soccer Team for my experiment. I also needed to get my proposal accepted from the Institutional Review Board in order for my experiment to actually happen. In order to find out if abdominal strength and speed had an effect on one another, I used the McPherson’s College Women’s Soccer Team. I tested them in 40 yards, 100 yards, and 200 yard sprints. I recorded their results before they started abdominal workouts. I also measured their abdominal strength as well as weight and BMI to insure that weight loss didn’t improve speed. Once I had their measurements and had them recorded, they performed six weeks of abdominal workouts, three times a week. I then recorded all the information again. The abdominal workouts consisted of different forms/styles of crunches along with planks. Each workout lasted for fifteen minutes. Each person picked a different form/style of crunch to do. We started off with doing 15 of each style. As time went on, and their abdominal strength increased, the amount they had to do for each repetition also increased. Each week increased by five. After six weeks, I got their final measurements. I again took their sprint times, followed by abdominal strength, weight and BMI. I compared the before and after results. I compared to see if there is any kind of correlation that abdominal strength had on the effect of speed by using a paired t-test. Figure 1: Change in Time vs. Sprint Distance. Difference in the before and after times (seconds) of the 40, 100, 200 yard sprints. Figure 2: Distance (yards) thrown (abdominal strength) before and after workouts. 4 Cantaurus DISCUSSION LITERATURE CITED There was no significant correlation between any of results except for difference in weight and BMI before and after the abdominal workouts with the difference in abdominal strength before and after the abdominal workouts. The non significan, St correlations were not applicable to P>0.050, while the two that had a correlation were P<0.050. There was also not a great enough difference that is due to chance with pre and post weight and BMI. Weight was only had P=0.089, meaning it is P>0.050, but it also was stated that negative results should be interpreted cautiously. BMI had P=.442, meaning that P>0.050, but it as well stated that negative results should be interpreted cautiously. There however was a great enough difference that it wasn’t due to chance with the pre and post 40, 100, 200 and abdominal strength changes. For all of these to be due not to chance, P<0.050. For the 40 yard sprint, P=0.005, the 100 yard sprint, P=0.002, the 200 yard sprint, P=0.020 and for the abdominal strength, P=0.027. My results can relate back to the experiment Andersson did with seeing how much torque each athlete or normal person produces. Athletes produced more torque in the core, which was used in the hip, allowing an athlete to run faster. However, this was only true for the 100 yard sprint. Another experiment was one that Stanton did. He used swiss ball training to improve core strength and then looked at the effect it had on running. Stanton found that there wasn’t a positive correlation with running and abdominal strength. It was found that swiss ball exercises improved core strength without improving physical performances. (Borguis, 2008). This could reason why the 40 and 200 yard sprint times increased. If I were to go back and re-do this experiment. The first thing I would change would to have more people participate in it, so that I have more results to compare. I would like to have around 30 people compared to the 14 I started with and 10 I ended with. I also would have done one on one exercises with everyone because about half way through workouts, people started to slack and not put very much effort in the abdominal workouts, we were doing three times a week. The last thing I would change, would be to have a longer time frame than six weeks of workouts. I would prefer 18 weeks and then re-test them every six weeks so that there is a lot of data to compare and you can also see how each person is coming along through the process. Andersson, E., L. Sward, and A. Thorstessson. 1988. Trunk Muscle Strength in Athletes. Med. and Sci. Sports and Exerc,. 20:587-593. ACKNOWLEDGEMENTS I would like to thank the McPherson Women’s College Soccer Team, My Advisor: Dr. Frye, CoAdvisor: Dr. Ayella, and Dan Hoffman. Borghuis, J, A L. Hof, and K A. P. M. Lemmink. 2008. The Importance of Sensory –Motor Control in Providing Core Stability. Sports Medicine 38(11): 893-916. Kibler, W. B, J. Press and A. Sciascia. 2006. The Role of Core Stability in Athletic Function.Sports Medicine 36(3): 189-198. French, L, A E. Hibbs, L. Spears, K G. Thompson, and A. Wrigley. 2008. Optimizing Performance by Improving Core Stability and Core Strength. Sports Medicine 38(12): 995-1008. Cantaurus, Vol. 19, 5-10, May 2011 © McPherson College Division of Science and Technology What is the Prevalence of MRSA in a Health Care Setting Compared to a Community Setting? Karissa Ferrell ABSTRACT Methicillin Resistant Staphylococcus aureus (MRSA) is a fast growing risk for many people in a health setting and in the community. Its resistance makes it hard to defeat, but with people becoming more aware of MRSA and demonstrating better hygiene, spreading it will hopefully become less in the future. I took 91 samples from McPherson College and 91 samples from a family practice clinic/hospital. I used Mannitol salt agar with oxacillin to plate my samples. The agar was a selective and differential media for the specific bacteria Staphylococcus aureus. The samples that grew and fermented the Mannitol salt agar and were Gram stained and isolated, then sent to Molecular Epidemiology Inc. to see if bacteria growth was positive for Staphylococcus aureus (MRSA). All other bacteria growth that did not ferment the agar was considered negative for MRSA. After sending in a sample to the MEI, it confirmed that 15 samples of the 91 at the family practice clinic/hospital were positive for Staphylococcus aureus or MRSA. McPherson College samples were compromised . Instead another student’s results from an elementary school’s samples were used. We found that the results were too significant to happen by chance alone. Also, surprisingly, there was a higher prevalence in the community, not the health care setting. MRSA is however still prevalent in both the health setting and in the community. Its resistance still remains strong and MRSA can be deadly if not treated. Facilities need to take cleaning seriously. Keywords: MRSA, Staphylococcus Aureus, mannitol salt agar, fermentation, X^2 goodness of fit test. INTRODUCTION Methicillin-Resistant Staphylococcus aureus (MRSA) is a type of bacteria that is resistant to most antibiotics, especially those in the penicillin family. These include methicillin, oxacillin, amoxicillin, and penicillin antibiotics. MRSA is a strain of Staphylococcus aureus that usually causes skin infections. According to the Centers for Disease Control (CDC) it appears as pustules or boils which often are red, swollen, painful, or have pus or other drainage. However MRSA can cause severe infections such as bloodstream infections, surgical site infections, or pneumonia which in some cases can be life threatening. The CDC also states that MRSA is important to study because of its pathogenicity: “MRSA have many virulence factors that enable them to cause disease in normal host.” Also MRSA has limited treatment options and is transmissible. So MRSA is a dangerous bacterium that is always finding ways to evolve. There are two types of MRSA. The first type is called health care associated MRSA or HA-MRSA. This type is acquired by being in a health care facility. Usually people who are infected are hospitalized, going in for surgery, or in a nursing home, have “an underlying chronic disease, immune suppression, or injecting narcotic use” (Del Giudice, et al, 2005). It is usually because their immune system is down or not at its best. Also many health care workers become infected by being in contact with a patient who is infected. The second type is community associated MRSA or CA-MRSA. This kind is transmitted through the community like military (bases), athletes (gym), schools, etc. Del Giudice, et al. (2005), stated that “CA-MRSA infects younger subjects and is more frequently associated with skin infections, while HAMRSA is associated with a broader range of infections (of the urinary tract, respiratory tract, skin, etc.). CA-MRSA is more often susceptible to other antimicrobials than is HA-MRSA.” So MRSA is becoming a problem because of its evolution to become resistant to many antibiotics. Researchers in the past have tested MRSA in the health care community to determine how prevalent MRSA is. Researchers have done this in two ways. The first way is to find MRSA on patients. In the article by Mongkolrattanothai (2009) children from age’s infant to 18 years old were examined. They did the “antimicrobial” therapy on those patients that tested positive for MRSA. MRSA was more prevalent in children ages four to 59 months. Their experiment also found that methicillin resistant skin and soft tissue infections have increased every year. Also in an article by Del Giudice et al, (2005) more children were infected with CA-MRSA than adults. Moran (2009) did a similar study except with adults ages 18 years and older. Again MRSA was found in patients. The majority of them had a skin infection to begin with. “About 85% of all invasive MRSA infections were associated with healthcare, and of those, about two-thirds occurred outside of the hospital, while about one third occurred during hospitalization. And about 14% of all the infections occurred in persons 6 Cantaurus without obvious exposures to healthcare” retrieved from the CDC. Unfortunately MRSA could be anywhere since in these articles people got MRSA from various places in the community or at a health care setting. The second way to test for MRSA is testing medical equipment and/or to compare how well the cleaning methods in health care facilities do with killing bacteria. A study by Merlin, et al (2009) tested emergency personnel stethoscopes for MRSA. They found 16 of 50 stethoscopes tested had MRSA on them. Also the EMS had no idea when they were last cleaned. Another similar experiment (Chidi, 2009) tested for MRSA on medical equipment in a hospital setting. They followed the standard cleaning procedure to find if MRSA was still prevalent after being washed. Their results showed MRSA. So they put the same instruments into an automated machine and found it worked better at cleaning than manual washing. In a third study, Montgomery et al, (2010) tested for MRSA at several schools’ athletic training facilities and the locker room facilities. At nine of the 10 schools MRSA was found in both facilities on at least two locations. This proves that MRSA is quite prevalent in places that may not be suspected. These researchers have all wished they had more time to do their experiments. Testing for the prevalence of MRSA needs time especially when trying to kill the bacteria. Also many studies, like the ones done by Moran (2006) and Mongkolrattanothai (2009), wanted more range demographically to see how widespread MRSA is. So my research project would test MRSA in a family practice setting and in the community. Most experiments are done in hospitals, but a doctor at a family practice sees many patients on a regular basis. Also there aren’t many studies done to see how transferrable MRSA is at a college setting among students. My research will help see the prevalence of MRSA in both types of these demographics. I will test the medical equipment that comes in contact with skin (e.g. stethoscopes, doorknobs, etc.) at the clinic and at the College I will sample comparable things like doorknobs, tables, etc. In both cases I will sample things that come in contact with human skin. In my research I will answer the question…What is the prevalence of MRSA in a health care setting compared to a community setting? If I find MRSA at the family practice clinic and hospital I can let the doctor know so she is aware. I will also do the same for the college. So in both situations this will help them find better hygiene practices to kill the bacteria strain Staphylococcus aureus. Although according to Cimolai (2008), “The ability to decontaminate MRSA from environmental surfaces is an issue for debate… the efficacy of a topical agent will depend on exposure time, concentration in its solvent, humidity, temperature, and neutralization by spoilage substances, among other things. Disinfectant residue after cleaning may provide for a lingering bioactivity. Despite what may be seen as seemingly effective product and technique, the potential for prompt recontamination must be considered.” Any change will help to keep the bacteria from spreading and reaching other demographics which will limit the spread of CA-MRSA especially. My research is important to finding how prevalent MRSA is so that places such as a family practice and a college can help prevent its spread to new places and people. MATERIALS AND METHODS The purpose of the research is to find the prevalence of Methicillin Resistant Staphylococcus aureus (MRSA) in a health care setting and compare it to how prevalent it is in the community. The research project was conducted at a family clinic and hospital in Kansas. It was chosen since it is a health setting that has many patients in and out daily. The community associated MRSA to be compared was conducted in Melhorn, the science hall at McPherson College. This building also gets many students in and out daily. There are also a few professors whose office resides in this building. The materials that were tested included hard surfaces; at the clinic it was exam tables, at the hospital it was bed tables and in Melhorn desks were sampled. At each place the men’s and women’s bathrooms were tested. Each included toilet knobs, faucet knobs, soap dispensers, and door knobs. Last, at both the clinic/hospital and Melhorn two door knobs from each room were sampled. The materials needed to test, to collect, and possibly to grow MRSA were described by Ashlee Jost (personal communication, Nov. 17, 2009) included sterile Dacron swabs and sterilized Q-tips soaked in nutrient broth to collect samples, Petri dishes to hold the Mannitol salt agar with oxacillin, flasks, stir bars, and foil to make the agar, autoclave, and incubator (following making the agar), a loop, Bunsen burner, and slides to transfer bacteria, and crystal violet, iodine, decolorizing solution, safranin, and a microscope for the gram stain procedure. The methods were also described by Ashlee Jost (personal communication, Nov. 17, 2009) including making the Mannitol salt agar, sampling, and analyzing. To begin approximately 111 grams of Mannitol salt agar was weighed and place in a flask with one liter of water followed by a stir bar. Foil was placed over the top and mixed and heated to boil for one minute. Once it was done it was placed in the autoclave for sterilization. First the autoclave needed to be filled with water to the line. Once it was the flask was put into the autoclave and shut. It was turned to steam, and then it steamed for 15 minutes at 121 degree Celsius. However because the steam Prevalence of MRSA – Ferrell takes a bit to reach temperature, the flask stayed in for 45-60 minutes instead of the 15 minutes. It was taken out of the autoclave and put into the incubator at 50 degree Celsius for an hour to cool. Once cooled six micrograms of oxacillin was added to it, mixed slowly. Then using the laminar flow hood and turning the blower on (for sterilization purposes), the Mannitol salt agar was poured into 40 plates (25 mL each), left to cool with lid off, and then put into the refrigerator until ready for sampling. Before samples were taken, nutrient broth was made to moisten the swabs to collect samples. Approximately 13 grams of nutrient broth was measured out and placed in one liter of water in a flask. Then a stir bar was added and it was mixed. Once mixed thoroughly the nutrient broth was put into test tubes followed by sterile swabs in each test tube. Then a cap was placed on each test tube. The test tubes in racks were placed in the autoclave for 45-60 minutes at 121 degree Celsius for sterilization. Once done the test tubes were placed in the incubator at 37 degree Celsius until ready for sampling. The samples were taken at each location and on materials mentioned earlier. The test tubes in racks were taken to each location. The sterile technique was used to swab each sample. The swab was placed back into the test tube. When done the samples were taken to the lab. In the laminar flow hood the blower was turned on (for sterilization purposes) and the Mannitol salt agar plates were placed under the laminar flow hood with the lids off. Then the cotton swabs were taken out of each test tube and swabbed onto the Mannitol slat agar plates. Once done and everything labeled the plated samples were put into the incubator at 37*C (Ashlee Jost, personal communication, Nov. 17, 2009). The plates were watched for first sign of growth. Next the Gram staining procedure including transferring from plate to slide was done when growth appeared on the plates. The gram stain procedure steps followed were described by Ashlee Jost (personal communication, Nov. 17, 2009). From the Mannitol salt agar the samples were transferred to a slide by using a loop and Bunsen burner for sterilization. The loop was sterilized by the fire then a swab of bacteria was taken from the plate and smeared on the slide. The loop was re-sterilized by the fire and placed under a running facet to catch a drop of water. The water was smeared on the bacteria. The loop was re-sterilized. The slide was placed over the fire to dry and kill the bacteria. Next the Gram staining procedure was done. This procedure includes using crystal violet, iodine, decolorizing solution, and safranin. Crystal violet was placed on the slide for 30 seconds then rinsed with water for five seconds. Second the iodine was placed on the slide for one minute then rinsed with water for five seconds. Third the decolorizing solution was 7 placed on the slide for 15 seconds then rinsed with water for five seconds. And last the safranin was placed on the slide for one minute then rinsed with water for five seconds. When done the slides were patted dry and ready to be looked at under a microscope. Staphylococcus aureus is a Gram positive bacterium with a cocci shape. And the Gram staining will turn the gram positive bacteria purple. So all samples that were purple and cocci shape counted positive for MRSA and everything else was counted negative for MRSA. The samples that were positive for MRSA had two isolations done with a gram stain following each. This was to make sure the bacteria were gram positive and cocci shape. After the two isolations, samples were isolated a third time and sent to the Molecular Epidemiology Inc. (MEI) for genetic identification to find out if the bacteria was actually a Staphylococcus aureus strain. So with all the materials and method procedures I hope that my results will answer my senior research question. If I do find MRSA in any environment setting I will bring it to the attention of the clinic/hospital and the college. Hopefully with the information they can conduct a way to have their equipment properly cleaned. This will help to decrease the spread of MRSA both in the community and health environments. RESULTS A total of 91 samples were collected at Melhorn and a total of 91 samples collected at the clinic/hospital. Samples were considered either positive or negative for MRSA; such as gram negative (pink) bacteria or rod shape bacteria were considered negative for MRSA and no further research was done to identify bacteria. Bacteria that fermented the Mannitol Salt agar, which started as red, turning it yellow were considered positive for MRSA. Further isolation was done to these samples. Also the Gram stain procedure was done to make sure it was gram positive (purple) and cocci shape. Other samples that had growth on Mannitol salt agar, but did not ferment the agar were considered negative for MRSA. According to the “Online Textbook of Bacteriology” website; “Staphylococcus aureus forms a fairly large yellow colony on rich medium.” Also from Jonathan Frye, “the aureus in Staphylococcus aureus means golden,” (Jonathan Frye, personal communication, Jan. 11, 2011). There were a total of 15 fermented (yellow) samples from the clinic/hospital. One sample from the 15 fermented group was transferred to the test tube with agar via sterile technique and sent to the MEI to make sure the bacteria is really a Staphylococcus aureus strain in MRSA. One sample from the negative MRSA group was also transferred to a test tube with agar and also sent in for identification. This was done on curiosity of what bacteria grew with oxacillin, but did not ferment. From 8 Cantaurus the fermented group the 15 samples were from the following places: Rm. 8 on door outside knob at Clinic (C), Women’s Bathroom (WB) on Faucet Knob (FK) at C, WB on door outside knob at C, 1st Entrance door on outside knob at C, Men’s Bathroom (MB) on Soap Dispenser (SD) at C, Rm. 4 on Exam Table (ET) at C, Rm. 3 door inside knob at C, Rm. 1 door inside knob at C, Rm. 106 on door outside knob at Hospital (H), MB on door inside knob at H, Rm. 118 on Toilet Knob (TK) at H, Rm. 116 on door outside knob at H, Rm. 118 on Bed Table (BT) at H, 1st rail on Right side at H, and Rm. 119 door outside knob at H. When I received the results from the MEI it proved that the 15 bacteria samples that fermented the agar were indeed Staphylococcus aureus. So I can confirm that our results are positive for MRSA. No samples from the Melhorn group were sent to a geneticist since the samples were considered too old and I could not isolate live (from dead) bacteria or get a pure isolation. Also for these samples I do not know which bacteria fermented the agar. So unfortunately Melhorn samples will not be compared to. Instead I will compare my results from the family practice clinic and hospital to Kelly Green’s results. Kelly Green took samples (also looking for the prevalence of MRSA) at a local elementary school. She had 43 samples out of 87 that fermented the Mannitol salt agar. She also sent a sample to the MEI. When she got the results she found that her bacteria samples were also Staphylococcus aureus, confirming positive for MRSA. Comparing my results to Kelley’s we used the X^2 Goodness of Fit test to see if there is a significance in finding MRSA and it was not just by random chance. In the X^2 Goodness of Fit test there are observed values and expected values. The observe values are in Table 1. Positive values are how many samples fermented the agar and have MRSA and the negative values are how many samples didn’t ferment the agar at each facility. The expected values are found in Table 2. Next I plugged the observed and expected values into the X^2 3). These values added together equaled 23.03. There is 1 degree of freedom. Looking in the X^2 table with a critical value of 3.84 and a p-value of 0.05, 23.03 is close to 0.001 P-value, in the 95 percentile. This means that our results are too significant to happen by chance alone. It is significant because if MRSA was randomly distributed then the frequency of MRSA would be equal everywhere. But since it is much more frequent at the elementary school then the clinic/hospital it makes the result findings significant. Next I found the percentages (Table 4) to compare the prevalence. The prevalence of MRSA is more prevalent in a community setting than a health care setting. However it is not known of many children from an elementary school getting a horrendous skin infection. It is because children have a stronger immune system to fight infection. It is more known of people getting it in a clinic/hospital because patients have a weak or weaker immune system. This is why hospital patients are more susceptible to getting MRSA. DISCUSSION MRSA is an increasing problem in the United States causing many skin infections. It is a huge crisis in the health/medical community causing “nearly 500,000 hospitalizations and 19,000 deaths a year in the United States” (Schwarz, 2011). MRSA spreads widely and fast that it is hard to treat. Many antibiotics no longer work for MRSA due to its growing resistant. But luckily now there is a study in which a vaccine is being created to prevent MRSA. The orthopaedic scientist at University of Rochester Medical center have ”discovered an antibody that reaches beyond the microbe’s surface and can stop the MRSA bacteria from growing, at least in mice and in cell cultures” (Schwarz, 2011). According to this article “staph-infection is the leading cause of Table 2. Expected Values (+)MRSA Table 1. Observed Values (+)MRSA (-)MRSA Elementary School 43 44 Clinic/Hospital 15 91 Table 3. X^2 Goodness of Fit Equation (O-E)^2/O Elementary School Clinic/ Hospital Goodness of (+)MRSA (-)MRSA (43-28.2)^2/28.2 (44-58.4)^2/58.4 =7.8 =3.6 (15-29.6)^2/29.6 (76-61.3)^2/61.3 =7.2 =3.5 Fit equation, Sum of (O-E)^2/E (Table (-)MRSA Elementary School 28.2 58.4 Clinic/ Hospital 29.6 61.3 Table 4. Percentages (+)MRSA (-)MRSA (43/87)100 (44/87)100 Elementary School =49.4% =50.6% (15/91)100 (76/91)100 Clinic/Hospital =16.5% =83.5% osteomyelitis, a serious bacterial infection of the bone” (Schwarz, 2011).In another study by the University of Florida, they tested gym equipment at Prevalence of MRSA – Ferrell several fitness centers to see if MRSA was present. They collected 240 samples before and after cleanings, three times a day. Surprisingly, results showed no MRSA or any staph-infection causing bacteria. Kathleen Ryan believes it has to do with people being more sanitary, she states, “People right now are going around carrying their hand sanitizer in their purse and they are hand-sanitizing everything they touch. Maybe we don’t need to be quite that worried like when you go to the gym and every time you touch something it is a potential source of some horrible bug” (2011). However it is still crucial that people be cautious of what they touch. In the Melhorn results I did not test before and after cleaning to see if the prevalence of MRSA or bacteria growth in general changed. The Melhorn building is cleaned on a daily basis. This includes all bathrooms, lecture halls, classrooms. From what I have seen rooms are vacuumed/swept and mopped, and hard surfaces are wiped down. However I do not know what kinds of products are used to sanitize surfaces. I do not know the cleaning routine(s) at the elementary. At the family practice clinic and hospital I do not know how often the rooms are cleaned. I did observe at the family practice clinic that the nurses wiped down the exam table and pulled a new sheet over it in between patients. But I did not notice stethoscopes, hard surfaces, and door knobs being cleaned at either facility in between patients. Also I do not know how often restrooms are cleaned. I did notice the doctor at the family practice clinic did consistently wash her hands before and after examining patients. The results from the family practice clinic and the hospital are positive for MRSA at each facility confirmed through the MEI Staphylococcus was present on the fermented plate samples. Now that I am aware of the results I will use the information to inform both health facilities that MRSA is a present issue. Hopefully receiving this information, the health facilities will take measure in fixing the problem. Though the Melhorn results are not reliable, there was still growth on several plates and some plates were fermenting the agar. The college will be informed also about taking new measures to insure the bacterial problem decreases. Some limitations I had were not being able to sample at more locations. A broader demographic is needed to truly confirm that the community is more prevalent with MRSA. My results alone cannot say 100% that a community setting has a higher prevalence than a health care setting. Along with this more time would be needed to conduct testing at various locations. Last testing cleaning methods would have been valuable to see which work and which do not. This will help people become aware of how washing thoroughly is important to prevent spreading. 9 ACKNOWLEDGEMENTS I would like to thank Dr. Jonathan Frye for his guidance and patience throughout this whole process. I want to thank a doctor and her staffs for letting me use the family practice clinic and the hospital to collect samples. I thank McPherson College for letting me use their facilities and equipment and for funding my research. Also I thank Kelley Green for helping me and letting me use her results to complete my research. Last I want to thank Dr. Allan Ayella and the professors of the Science Department for meeting with us and pushing us to get our paper done! LITERATURE CITED Bacteria Absent from Gym Equip. Laboratory Equipment. Retrieved January 27, 2011. http://www.laboratoryequipment.com/Newsbacteria-absent-from-gym-equip-030411.aspx Del Giudice, P., V. Blanc, F. Durupt, M. Bes, J. Martinez, E. Counillon, G. Lina, F. Vandenesch and J. Etienne. 2006. Emergence of two populations of methicillin-resistant Staphylococcus aureus with distinct epidemiological, clinical and biological features, isolated from patients with community-acquired skin infections. British Journal of Dermatology 154(1): 118-124. Cimolai, N. 2008. MRSA and the Environment: Implications for Comprehensive Control Measures. European Journal of Clinical Microbiology and Infectious Diseases 27(7): 481-493. Chidi, O., A. Agwu, W. Akinpelu, R. Hammons, C. Clark, R. Etienne-Cummings, P. Hill, R. Rothman, S. Babalola, T. Ross, K. Carroll, and B. Asiyanola. 2009. Contamination of Equipment in Emergency Settings: An Exploratory Study with a Targeted Automated Intervention. Annals of Surgical Innovation and Research 3(8). Merlin, M.A., M.L. Wong, P.W. Pryor, and Kevin Rynn. 2009. Prevalence of Methicillin-Resistant Staphylococcus aureus on the Stethoscopes of Emergency Medical Services Providers. ProQuest 13: 71-75. Mongkolrattanothai, K., J.C Aldag, P. Mankin, and B.M. Gray. 2009. Epidemiology of CommunityOnset Staphylococcus aureus Infections in Pediatric Patients: An Experience at a Children’s Hospital in Central Illinois. BMC Infectious Diseases 9:112. 10 Cantaurus Montgomery, K., T. Ryan, A. Krause, & C. Starkey. 2010. Assessment of Athletic Health Care Facility Surfaces for MRSA in the Secondary School Setting. Journal of Environmental Health 72(6): 811. Moran, G.J., A. Krishnadasan, R.J. Gorwitz, G. Fosheim, L. McDonald, R. Carey, and D. Talan. 2006. Methicillin-Resistant S. aureus Infections among Patients in the Emergency Department. The New England Journal of Medicine 355: 666674. MRSA Infections. 2010. Center for Disease Control. Retrieved October 31, 2010. http://www.cdc.gov/mrsa/definition/index.html. MRSA. Google Health. Retrieved October 31, 2010. https://health.google.com/health/ref/MRSA Schwarz, Edward, et al. 2011. Researchers Discover Vaccine Route for MRSA. University of Rochester Medical Center. http://www.laboratoryequipment.com/Newsbacteria-absent-from-gym-equip030411.aspx?xmlmenuid=51 Staphylococcus aureus, Online Textbook of Bacteriology. Retrieved January 31, 2011. http://www.textbookofbacteriology.net/staph.html Cantaurus, Vol. 19, 11-14, May 2011 © McPherson College Division of Science and Technology Isolation, Characterization, and Quantitation of Isoxanthopterin from Drosophila melanogaster Strains Wild Type and White Apricot Austin Froese ABSTRACT Wild type Drosophila melanogasters’ eyes contain all six of the pteridines that help make up the color of the eye. Not all mutant strains’ metabolic pathways function in a way that they can produce all of the pteridines like the wild type. The pigment isoxanthopterin absorbs light in the ultra violet spectrum; this pigment allows Drosophila melanogaster to see fluorescing pigments that humans are unable to, such as in some flowers. It is also responsible for the red color that the majority of strains of Drosophila melanogaster have, even if in small quantities. After decapitating the wild type and the mutant strain white apricot, they were crushed the flies’ heads, which are mostly made up of the eyes, onto separate pieces of chromatography paper, using a 1:1 ratio of ammonium hydroxide and 2-propanol as a solvent, and allowed the isoxanthopterin to separate from the other pigments present, the pigments were then extracted from the paper. After analysis of the pigment using a UV-visible spectrophotometer, a standard curve was created in order to quantitate the amount of pigment found in each of the two, wild type and the mutant white apricot, for. The amounts of isoxanthopterin in the two varieties were similar revealing that wild type and white apricot mutants both must contain a xanthine dehydrogenase enzyme that catalyzes a number of reactions in the metabolic pathways in Drosophila melanogaster. The wild type average in the chromatogram using ten Drosophila melanogaster was 0.5820 ug/head while the white apricot value was 0.8163. The values for the chromatograms using 30 or more heads for the wild type and white apricot were 0.2029 and 0.2036 respectively. The reaction pertinent to this study was the formation of isoxanthopterin from 2-amino-4-hydroxypteridine and xanthopterin. This enzyme has shown to be imperative in the formation of isoxanthopterin. Mutant strains of Drosophila melanogaster whose eyes do not contain isoxanthopterin lack the ability to see in the blue-violet fluorescent spectrum and lack a strong red color in the eyes. Keywords: Catalyze, chromatography, Drosophila melanogaster, enzyme, isoxanthopterin, metabolic pathways, mutants, pteridines, xanthine dehydrogenase. INTRODUCTION The eyes of some Drosophila melanogaster contain fluorescent pteridines that were separated by paper chromatography and characterized using UV visible spectrophotometer. Comparing the pigments found in the different colored eyes of Drosophila melanogaster and the presence or lack thereof, allowed for analyzes the spectrums at which wild and mutant strains of Drosophila melanogaster can absorb through their eyes. These biochemical analyses can be instructive in evolutionary and genetic studies. Pteridines in Dropsophila melanogaster have been researched by Rasmussen and Scossirolli (1954), Rasmussen (1954, 1955), Hubby and Throckmorton (1960), and Throckmorton (1962). These authors have analyzed the presence of pteridines in specific organs in Drosophila melanogaster as well as similar species but have found that these pigments are present in all wild eyes species similar to Drosophila melanogaster. In the mutant strains however, research has shown that there is a relationship between the quantities of pteridines in the internal organs and pigments found in the eyes. (Hardon and Mitchell, 1951 and Hardon 1958) Hardon and Mitchell studied the pigment presence and quantity of the pteridine pigments in different stages of the life cycle in Drosophila melanogaster and also compared the pigment differences in sex. Using the heads of Drosophila melanogaster with different eye colors, the pigments were separated and characterized. Using this information and previous research, assumptions were made as to what enzymes or compounds are absent in the metabolic pathways that cause pteridines absence in the mutant strains. If isoxanthopterin is present that means that a xanthine dehydrogenase must be present to catalyze reactions necessary to form isoxanthopterin within the metabolic pathways (Forrest et al, 1961). Drosophila melanogaster that lack isoxanthopterin lack the ability to see in the violet fluorescent spectrum and also lack a strong red color in the eyes. By determining the presence and quantity of isoxanthopterin in the wild type and white apricot mutant strains of Drosophila melanogaster we can potentially answer behavioral and metabolic questions pertaining to possibly the most scientifically studied organism ever. MATERIALS AND METHODS Wild type and white apricot mutant strains were 12 Cantaurus ordered from Carolina Biological Supply Company and raised on Carolina Biological Supply Company’s formula 4-24 instant Drosophila medium blue in a incubator at approximately 25°C. The Drosophila melanogaster were anaesthitized using Carolina fly nap and the heads were removed using a sharp scalpel under a Bauch and Lomb 0.7X – 3X dissecting microscope until a minimum of 10 heads was reached. The heads were then carefully put into a line approximately 2cm above the bottom of Whatman number 1 chromatography paper and crushed and smeared with a glass rod directly onto the chromatography paper. The papers were then placed into a 100ml graduated cylinder that was covered with Pechiney Plastic Packaging parafilm “M” laboratory film and wrapped in tin foil to keep out light. The solvent used was a 1:1 ratio of 2-propanol and ammonium hydroxide and each run took anywhere from six to nine hours. After the solvent had nearly reached the top of the paper, the papers were removed and wrapped in tin foil till extraction. The papers were removed from the foil in a dark room and allowed to dry for approximately 15 min. Then using a UL 977C ultra-violet light set to longwave (365nm) to see the violet isoxanthopterin band. This band was cut out in its entirety and then cut up into smaller pieces in the bottom of a test tube. The pieces were then washed twice, first with 2ml of solvent then again with 1ml of solvent measured with a Gilson 1000ul adjustable pipette. These solutions were then wrapped in foil and capped to prevent outside light and evaporation from effecting volume and concentration. A standard solution of 100,200ug/L was then made up and the standard solution was used to calculate the percent extracted for my samples. The standard solutions were applied to the chromatography paper using a Gilson1000ul adjustable pipet and put one drop on at a time and allowed to dry before the next drop was applied to keep the starting point of the solution on the paper as small and concentrated as possible. From here the extraction process was the same as the other samples. These solutions were then analyzed by a Varian Cary Win UV-visible light spectrophotometer version 2.00 and software with the “scan” application to find the wavelength of the peaks and absorbance values. Using this data calculated a range for my isoxanthopterin standards. The stock solution was made up to be 100,200ug/L using ≥97.5% pure isoxanthopterin obtained from Sigma-Aldrich. Using this stock solution a set of standards were made, the concentrations were as follows: 250ug/L, 500ug/L, 1000ug/L, 2000ug/L, 4000ug/L, and 8000ug/L and were made up into 25ml volumetric flasks and a Gilson 1000ul adjustable pipette. Using these standards and the Cary WinUV “concentration” application a standard curve was set up at a wavelength of 223.9nm, (the wavelength of the standards’ peak), and calculated the concentration of the samples, and mg of isoxanthopterin per head, corrected by the percent extraction found from the standard paper chromatography test. This process was repeated with 10 to 39 Drosophila melanogaster heads per chromatogram of wild and white apricot strains to show the reproducibility of the experiment. RESULTS The Rf values for the paper chromatography had a mean of 0.448±0.10 with a 95% confidence interval and a standard deviation of 0.08245. Using the absorptions from the samples the concentration of each was calculated in accordance with the calibration curve, which contained 6 standards ranging from 250ug/L to 8000ug/L and had a correlation coefficient of 0.99731, and then the average amount was found, in ug, of isoxanthopterin in each of the Drosophila melanogasters’ heads. Table 1: Statistical Data Analysis of Extractions Type Wild 1 Wild 2 W. Apricot Wild Wild W. Apricot # of Heads 10 10 10 31 33 39 Abs. 0.3984 0.3632 0.5238 0.4550 0.3912 0.5102 Conc. ug/head ug/L 2036 0.6108 1844 0.5532 2721 0.8163 2345 0.2269 1996 0.1788 2647 0.2036 The statistical analyses on the values from the chromatograms containing ten wild type Drosophila melanogaster heads and the values from the chromatograms containing 31 and 33 wild type Drosophila melanogaster heads separately due to the fact that there were discrepancies in the ratios between the two. The standard deviation of the ug/head of the chromatograms containing ten heads was 0.4101 and the mean was 6.314. The standard error of this value was 0.2902. The standard deviation of the ug/head of the chromatograms containing 31 and 33 heads was 1.584 and the mean was 6.47. The standard error of this value was 1.120. The percent extraction correction was not used due to the fact that the data from the standards from the chromatograms was inconclusive as to what a correct percent extraction value would equal. DISCUSSION The values found for the confidence intervals from Isolation, Characterization, and Quantitation of Isoxanthopterin. – Froese the Rf values of the chromatograms are relatively high. This could be due to the differing rates of evaporation of the two compounds used in the solvent causing the ratio of 2-propanol and ammonium hydroxide to be ever changing. I also believe that the white apricot chromatograms could have had different Rf values due to the other pigments present in the wild type chromatograms that are not present in the white apricot mutant strain. The average Rf value for the white apricot chromatogram was 0.58 while the average Rf value for the wild type was 0.415. Despite this relatively large difference, when looking at the ultra-violet and visible spectrum (210nm to 800nm) scans of these two chromatogram bands I found that throughout the entire scanned spectrum they are nearly identical leading me to believe that they are in fact the same molecule despite differing Rf values. Since I did not have multiple white apricot samples with a similar number of heads to run in the ultravilolet visible spectrophotometer, I could not do statistical analyses on them. I did however do statistical analyses on the two wild type chromatograms containing ten heads and the chromatograms containing 31 and 33 heads separately. This data also lacks precision which is hard to find the source of with the limited amount of data I had available. The numbers for the chromatograms containing 31 and 33 heads have significantly lower ug/head values than the chromatograms containing ten heads. I believe this flaw is not in my technique but a flaw in this particular experimental design. I do not think it is necessarily set up for finding quantitative values. If trying to simply find the presence of a pigment, these methods and materials are an accurate and efficient means of doing so. Possibilities of error could be in the extraction of the pigment from the chromatogram paper. The bands containing the pigment isoxanthopterin were cut out of the paper and then were cut into small pieces and placed in a test tube to which two separate washings were carried out with a pipette by adding the solvent to the test tube, stirring and decanting the liquid off. If the concentration of isoxantopterin was higher, such as in the 31 and 33 head samples, this type of washing could cause more isoxanthopterin to remain in the test tube containing the paper and not quantitatively been removed. This would account for the different ug/L values found in the chromatograms containg ten heads and the ones containing 31 and 33 heads. Also small number of samples and the age of the Drosophila melanogaster could have played a role in the relatively high error in values. While I did not find any evidence of age being a factor in other scientific research, in looking at the Drosophila melanogasters through the microscope, it was evident that the younger looking samples’ eyes did have more of a 13 visible red color than the older looking specimens. This type of error would most likely been eliminated if more data had been collected. In conclusion, despite the error in this experimental design, I do trust the values found in this research enough to conclude that the white apricot mutant strain and the wild type do both contain the pigment isoxanthopterin. This also proves the presence of a xanthine dehyrogenase enzyme needed to catalyze reactions in the metabolic pathways of Drosophila melanogaster in order to create the pigment isoxanthopterin (Forrest et al, 1961). I also believe that the white apricot mutant strain does, in fact, contain more of the isoxantopterin pigment than the wild type as my figures do show. I would like to encourage others to attempt to make improvements to this experimental design or adjust the number of Drosophila melanogaster heads used in an attempt to obtain quantitative data of the amounts of isoxanthopterin in the eyes of Drosophila melanogaster strains. AKNOWLEDGEMENTS I would like to thank McPherson College for the use of their equipment and resources and the science faculty for all the guidance and assistance they have generously provided. LITERATURE CITED Baglioni, C. 1959. Two New Pteridine Pigments in Drosophila melanogaster. Kurze Mitteilungen. 15. XII. pp. 465-467. Forrest, H. S., E. W. Hanly, and J. M. Lagowski. 1961. Biochemical Differences Between the Mutants Rosy-2 and Maroon-like of Drosophila melanogaster. Genetics 46: 1455-1463. Glassman, E., and H. K. Mitchell. 1958. Mutants of Drosophila melanogaster Deficient in Xanthine Dehydrogenase. Fellow in Cancer Research of the American Cancer Society, pp. 153-162. Gregg, T. G., and L. A. Smucker. 1965. Pteridines and Gene Homologies in the Eye Color Mutants of Drosophila hydei and Drosophila melanogaster. Genetics: 52 1023-1034. Hardon, E., and H. K. Mitchell. 1951. Properties of Mutants of Drosophila melanogaster and Changes During Development as Revealed by Paper Chromatography. Genetics: 37 650-655. Hubby, J. L., and L. H. Throckmorton. 1959. Evolution and Pteridine Metabolism in the Genus Drosophila. Genetics: 46: 65-78. 14 Cantaurus Wiederrecht, G. J., D. R. Paton, and G. M. Brown. 1981. The Isolation of an Intermediate Involved in the Synthesis of Drosopterin in Drosophila melanogaster. The Journal of Biological Chemistry. Vol: 256(20): 10399-10402. Cantaurus, Vol. 19, 15-18, May 2011 © McPherson College Division of Science and Technology What is the Prevalence of MRSA in an Elementary School Setting Compared to a Hospital Setting? Kelley Green ABSTRACT Staphylococcus aureus and more specifically Methicillin-Resistant Staphylococcus aureus (MRSA) was once known to be a hospital acquired bacteria. MRSA has now been found in community settings that can pose as a problem for controlling the bacteria. This study was done to determine the prevalence of MRSA in an Elementary school setting compared to a Hospital setting. There were 100 samples collected from the Elementary school and 91 samples collected from the Hospital all of inanimate objects. The testing of the samples were done using Mannitol Salt Agar containing oxacillin for the growth of the bacteria, and then a Gram staining procedure to confirm if the bacteria from the plates were Gram positive or negative. The plates of agar were then distributed into two different groups, yellow plates and pink plates. The yellow plates were assumed to be positive for MRSA and the pink plates were negative. Samples from one yellow plate and one pink plate were then sent to Molecular Epidemiology Inc. where the bacteria were confirmed to be MRSA and Corynebacterium mucifaciens. Next, a chi square analysis was done to determine the significant difference between the two different sites tested. The value 23.03 calculated, was greater than the critical value 3.84, therefore the number of positive results was not due to random chance alone. The statistical test showed that 49% out of the total Elementary samples tested positive, 74% of all positive results from both sites were from the Elementary school, and 32.6% of the 178 samples taken tested positive for MRSA. The results show that MRSA is present in communities but it does not affect everyone. The 32.6% was lower than the numbers found in similar studies done. The spread of MRSA can be prevented by simply washing hands and keeping open cuts and scrapes clean and covered. Keywords: Community acquired MRSA, gram negative and positive, isolation, methicillin-resistant Staphylococcus aureus, prevalence. INTRODUCTION Care facilities and hospitals are a source for many different kinds of bacteria that cause infections that are spread from one person to another. Because bacteria are extremely hard to see with the naked eye, we are unaware of them lurking all around us. Hospitals have been battling Methicillin-resistant Staphylococcus aureus (MRSA) since it was first identified in 1960’s (Capriotti, 2003). This nosocomial microbe (HA-MRSA) is a very serious problem in intensive care unit patients, due to the open wounds and contact with doctors and nurses, who may transfer the bacteria from patient to patient. Not only is this affecting healthcare facilities, it has now made its way into the community as well. MRSA has become a community acquired (CAMRSA) infection, meaning that it has now spread its colonies from hospitals into public facilities and also nursing homes. MRSA is defined as community acquired if the MRSA-positive specimen was obtained outside hospital settings or within two days of hospital admission, or if it was from a person who had not been hospitalized within two years before the data of MRSA isolation (Salmenlinna, 2002). MRSA is a type of staphylococcal bacteria that is resistant to methicillin and other antibiotics. The infection occurs more frequently in people who have a weakened immune system and a history of hospitalization or nursing home residence within the past year (Weber, 2008). The problem that has kept researchers and medical facilities active is how quickly MRSA has developed a resistance to antibiotics. Currently, MRSA is resistant to amoxicillin, omacillin, penicillin, and methicillin (Jost, 2010). What makes the bacteria resistant to the current antibiotics is its ability to develop a new genetic makeup that allows the bacteria to grow and reproduce over the antibiotic. Researchers are working to eliminate the bacteria’s ability to develop resistance to antibiotics by suggesting that selection and administration of antibiotics be efficient and used correctly (Weber, 2008). There is little knowledge about community acquired MRSA (CA-MRSA). Therefore, my project goal is to test the prevalence of MRSA at McPherson College as well as Eisenhower Elementary School at different locations. Other studies, involving MRSA, have been done by fellow students. A previous student at McPherson College had designed a study that tested McPherson students, using their fingerprints, to determine if a person was positive for being a carrier of MRSA (Jost, 2010). Jost was able to calculate the number of carriers on campus and proposed ways to prevent infections to others. The study I have designed will help to provide a better 16 Cantaurus understanding to the spread of MRSA not only from organism to organism, but through affected surfaces as well, in a hope to prevent a further spread. MATERIALS AND METHODS The purpose of this study was to determine the prevalence of MRSA (Methicillin-resistant Staphylococcus aureus) in communities through two different schools. The two locations chosen for this study were Eisenhower Elementary, primarily because the school was familiar to the researcher and it was similar in size to the Melhorn Science Hall, located on McPherson College’s campus that was used for the second location. The principal, as well as the custodian of the elementary school were informed of the study and all details involving the sampling. There were approximately 100 samples taken from similar locations in Melhorn and Eisenhower. The testing was done over a four month period that allowed enough time to sufficiently collect all the samples and analyze them. To collect the samples in Melhorn, the work was divided between a fellow researcher, who was also testing for MRSA in the same location. This took one month to complete. The samples taken at Eisenhower were done over two different days that allowed a separation between samples when isolating and gram staining. The sites that were chosen within the Elementary school and College settings needed to have a great amount of contact with people daily. In this study, door knobs, hard surfaces, bathrooms, and a computer lab were used as the testing sites (Shanks, et al., 2009). In order to obtain the samples, Nutrient Broth was made the day before with swabs that were autoclaved, to ensure the broth and the swabs were sterile so other bacteria and outside factors did not contaminate the study. The Nutrient Broth was suggested instead of a saline solution to simplify the sampling process. The Nutrient Broth (13 g/ 1 L) provided an environment for any bacteria that was collected to grow. The techniques used in this study for gathering the samples were used by the Department of Biology and Health Sciences of Pace University (Shanks, 2009). Each sample was retrieved with a sterile swab soaked with nutrient broth, rotating the swab across the same size of area each time. There were three-five sites within each location that were swabbed (Montgomery, et al., 2010). The swabs were then placed back into the sterile broth and placed in the incubator at 37°C for 48 hrs. After 48 hours of incubation, the mannitol salt agar was made and put into the plates. The agar was measured out in g/ml and then placed in to a beaker of water that measured in millimeters. The beaker with the agar and water was placed on a hot plate, where the solution was mixed with a stirring rod and heated with the hot plate. Once the solution started to boil, the beaker was then taken off of the hot plate and was covered with tin foil. Next, the beaker was put into an autoclave for 50-55 min at a temperature of 250°F ~ 121°C. After the agar was autoclaved, it was left to cool in an incubator set at 45°C for 45 min and then the oxacillin was added to the agar and the plates were poured. BBL mannitol salt agar plates were made (111g/ 1L) and mixed with 6 µg/ml of oxacillin sodium salt, then the samples were transferred to the plates and incubated at 37°C for 24-48 hours. After the plates had been incubated the bacterial colonies and changed the color of the agar from red to yellow, this proved the bacteria to be MRSA positive. The plates that were a brighter pink with bacterial growth are presumed to be negative for the MRSA bacteria. The plates were then grouped in to yellow and pink plates. From the two groups only one plate from each group was used for the isolation and gram staining procedures. The isolations were done using a Ni-chrome wire loop that was heated with a Bunsen burner to help insure that no other bacteria were transferred to the plates. A single colony was transferred from the growth plate to another plate that contained the same mannitol salt agar and oxacillin mixture. The isolations were then incubated at 37°C until growth appeared. The red color of the agar for the isolations again turned yellow for the positive MRSA and bright pink for the negative MRSA. These isolations were gram stained using crystal violet, alcohol decolorizer, iodine solution and safranin solution, to check for the purple, cocci shape bacteria. The slides were done using a four step Gram staining procedure (Jost, 2010). Once all the data were collected and assessed for the areas that tested positive for MRSA, the statistical analysis was evaluated using the chi square goodness of fit test. RESULTS The Gram staining procedure provided two different results. There were Gram positive, purple colored, cocci, and Gram negative, pink colored, rod shaped. The main difference between the two Gram bacterium is due to the structure of the bacterial cell wall. Gram positive bacteria have a cell wall containing a thick layer of peptidoglycan that allows the crystal violet to penetrate the bacterium during the staining procedure but also keeps the solution from escaping or being washed out. In Gram negative bacteria, the cell walls lack the peptidoglycan which makes it impossible for the crystal violet to stain the bacterium and this is why they stain pink from the final safranin stain. There were a total of 91 samples taken from the McPherson College Melhorn Science Hall, and a total of 100 samples from Eisenhower Elementary School. Accounted for in the number of yellow agar plates vs. Prevalence of MRSA in a Community vs. Hospital – Green the pink plates in the Elementary samples, there were 43 yellow plates, and 44 pink plates. Out of the 100 samples there were 13 plates that were not applicable due to no growth or the growth of a fungus that consumed the plates. Therefore, 87 plates were used for the testing. The samples from the Elementary School, both the yellow and pink plates, were sent to Molecular Epidemiology Inc. for testing along with the samples from another student who tested a Hospital for MRSA. Due to the mishap with the Melhorn samples, we were unable to have the samples taken from the College, tested due to the mistake of letting them sit for months after the isolations and Gram stain tests were completed, so they have been disregarded and the Elementary results were compared to the Hospital results done by a fellow student. There were 91 samples taken from the Hospital site. Table 1. Shows the totals and percentages of MRSA Total # of Locations (+) MRSA (-) MRSA Samples Elementary 43 44 School 49%,74% 50%,36% 87 Hospital 15 76 Setting 16%,25% 83%,63% 91 Total # of 58 120 Samples 32.6% 67.4% 178 The results from Molecular Epidemiology Inc. showed the yellow plates tested positive for Staphylococcus aureus, and the pink plates were Corynebacterium mucifaciens. The results are shown in Table 1. Out of the 87 samples taken from the Elementary school, 49% of the samples were positive for MRSA and 50% were negative for MRSA. The samples from the Hospital showed that 16% of the 91 samples were positive and 83% were negative. When you look at the total positive results found, 74% of that total is from the Elementary school alone, and only 36% account for the total of negative results found between the two different locations. The percentage for the total number of surfaces testing positive out of 178 total samples was 32.6% of all surfaces, tested positive for MRSA. The chi square analysis performed had a value of 23.03, with one for the number of degrees of freedom. This value of 23.03 was much greater than the critical value of 3.84 therefore this means that the number of positive results was not due to random chance alone. DISCUSSION The point of this study was to determine the prevalence of CA-MRSA in both an Elementary school and Hospital setting on inanimate objects. In a similar study, done at nine different secondary school settings, Montgomery (2010) tested surfaces 17 in athletic health care facilities for MRSA. He found 46.7% of all surfaces tested positive for MRSA and also that 90% of facilities had two or most surfaces showing positive results (Montgomery, 2010). In comparison to the study done with the Elementary school and Hospital, 32.6% was lower but close to the percentage they found of all surfaces testing positive for MRSA. The comparison to the study performed, at the facilities sampled things such as; water coolers, treatment tables, locker room sink and shower faucet handles, moist heat units, biohazard containers, ice machine, and doorknobs in and out of the facilities. The handles to the sink faucets resulted in testing positive for 50%. There were 10 different doorknobs that were samples as well and none of them tested positive for MRSA. This study showed that MRSA is present in communities like schools and Hospitals. However, this does not mean that everyone is at a high risk of getting the bacteria. Students with weak immune systems are more likely to acquire the bacteria as well as those with open and unattended cuts and scrapes. The bacteria are present and should be made aware to the community so the bacteria can be controlled and not allowed to spread. Ways to prevent the spread of the CA-MRSA involve the simple task of washing hands. According to the CDC (Center for Disease Control) avoid coming into contact with others wounds and bandages, keep cuts and scrapes clean, and do not share personal items like towels and razors. They also suggest that you keep all surfaces within a high traffic area disinfected and kept clean. This study could also be done at any facility where there is a high traffic area like cafeterias, libraries, weight rooms, gyms etc. Jost suggested that Testing for MRSA through a nasal swab is another method that could be used. In her study she also concluded that MRSA carriers are more common in older persons. Testing inanimate objects and or places were elders are found on a common bases of some sort may result in an increase of MRSA findings. ACKNOWLEDGEMENTS I would like to thank the McPherson College Science Department for allowing me to use their equipment and materials to complete my project. I would also like to thank Dr. Frye for all of his help and guidance throughout my entire project as well as Dr. Ayella for his helpful assistance, Eisenhower Elementary School, Melhorn Science Hall and the Hospital for participating in the sampling process of inanimate objects in their facilities. Last but not least, I would like to thank Karissa for all of her time and effort she helped put into the Melhorn samples that we gathered together. 18 Cantaurus LITERATURE CITED Capriotti, T. 2003. Preventing Nosocomial Spread of MRSA Is in Your Hands. MEDSURG Nursing Vol. 12(3):193-196 Center for Disease Control and Prevention. 9 Aug. 2010. Prevention of MRSA Infections. http://www.cdc.gov/mrsa/prevent/index.html (12 Jan, 2011). Jost, A. 2010. What is the Prevalence of MRSA Carriers in the McPherson College Student Population? Cantaurus 18:12-15. Montgomery, K, T Ryan, a Krause, C Starkey. 2010. Assessment of Athletic Health Care Facility Surfaces for MRSA in the Secondary School Setting. Journal of Environmental Health 72(6): 8-11. Salmeninna, S, O Lyytikainen. and J Vuopio-Varkila 2002. CDC: Community-Acquired MethicillinResistant Staphylococcus aureus. 8(6). Shanks, R.C., Peteroy-Kelly, A Marcy. 2009. Analysis of antimicrobial resistance in bacteria found at various sites on surfaces in an urban university. BIOS 80(3):105-113. Weber, J. Carol. 2008. Infectious Dis-EASE: Update on Methicillin-Resistant Staphylococcus aureus (MRSA).Urologic Nursing 28(2):143-145. Cantaurus, Vol. 19, 19-22, May 2011 © McPherson College Division of Science and Technology Quantitative Survey of Zebra Mussels (Dreissena polymorpha) Within Wilson Lake and Kanopolis Lake Zachery D. Hlad ABSTRACT Zebra mussels, Dreissena polymorpha, are a non-native invasive species that are capable of causing substantial ecological and economic damage. They have been spreading throughout the United States since 1986. Research was conducted at Wilson Lake and Kanopolis Lake in Kansas to develop a better understanding of the habitats that zebra mussels prefer to infest. A rocky, sandy, and Marina habitat, were chosen at both lakes. A total of six locations, three in each lake were studied in this report. Five samples were taken at each location on two different dates, the first being in September and the second in December. The samples were analyzed to determine a population difference in habitats for the zebra mussels. It was concluded that zebra mussels were present in Wilson Lake at the “rocky” habitat and the Marina. However, the “rocky” habitat had a more established population with a mean value of 242.00 ± 17.74 in comparison to the Marina with a value of 119.30 ± 8.38. However, the sandy habitat at Wilson Lake did not show any signs of zebra mussel inhabitation. No zebra mussels were found at any of the Kanopolis Lake sampling areas. Keywords: Zebra mussels (Dreissena polymorpha), Wilson Lake, Kanopolis Lake. INTRODUCTION The zebra mussel (Dreissena polymorpha) is a small mollusk native to Europe and Asia. It was first introduced, most likely inadvertently, to the United States around 1985. They were first detected in the Great Lakes, but since then, the zebra mussels have been spreading to other parts of the country. Currently, they are present in all of the Great Lakes, many rivers, and 230 other lakes through the United States (Benson 2010). Since introduction of Dreissena polymorpha to Kansas in 2001, they have infested 18 different bodies of water including Marion Reservoir, Milford Lake, Cheney Reservoir, and the Missouri River. Any species introduced into a new environment can potentially cause problems within the ecosystem, but zebra mussels are capable of causing both ecologic and economic problems. Dreissena polymorpha reproduce at such a high rate that one mature female can produce up to one million eggs within a lifetime. They obstruct irrigation systems, boat motors, as well as disrupt the natural ecosystem (KDHE 2003). Several methods to rid the lakes of these invaders have been proposed, such as chemical treatments and introduction of a predator, but both could cause negative impacts on the lake. Chemical treatment can interfere with other species within the ecosystem along with humans that partake in the lake. The most effective method is prevention. Preventing the further spread of Dreissena polymorpha can be done by washing boats with warm water and soap immediately following removal from an inhabited lake. (Benson 2010) Also, by not transporting water from one infested body of water to another (Benson 2010). Figure 1. The outbreak of Dreissena polymorpha throughout the United States is shown on this map. It is important to recognize the habits of this invasive species in order to understand the effects on the ecosystem of the lake. “Zebra mussels [Dreissena polymorpha (Pallas)] provide an example of an invasive species that influences community structure and ecosystem function of lakes due to rapid establishment and high filtering capacity” (Naddafi 2007). Several different models of zebra mussel population dynamics have been proposed. One being that the invader will develop slowly, and then increase rapidly until some equilibrium is reached (Burlakova 2006). Another, known as “boom and bust,” suggests a collapse following an extremely high density (Burlakova 2006). The first step in distinguishing these organisms is examining population dynamics. In this study, density 20 Cantaurus measurements were taken from different locations on Wilson and Kanopolis Lakes. Using those measurements, an average population per environment was derived. The purpose of this experiment was to develop an understanding of what environments Dreissena polymorpha prefer to develop in, and use that information to slow, stop or even eliminate this non-native species from our lakes. Education regarding this invasive species is vital to controlling the outbreak in the United States. With the information gathered, I hope to educate the public on proper techniques to stop the spread of mussels, while also providing more data for development of a remedy to this growing problem. other lake. With the help of the park managers from Wilson and Kanopolis, I decided on a “sandy” area (Venango Beach and Tower Beach), a “rocky” area (Boldt Bluff Access and Hell Creek Bridge) and the marinas (Tower Harbor Marina and Lake Wilson Marina) from each lake. C MATERIALS AND METHODS B Permission was obtained from the US Army Corps of Engineers for completion of this experiment. My points of contact were Nolan Fisher park manager of Wilson Lake, Lester Tacha park manager of Kanopolis Lake, and Dan Hays operations manager of Wilson and Kanopolis Lake. Additionally, Lester Tacha was consulted for habitat suggestions. The experiment was conducted at Wilson Lake which is located in Russell County, Kansas and Kanopolis Lake in Ellsworth County. Wilson Lake has an average depth of 24 feet, surface area of 9,020 acres, and it is located on the Saline River, controlling a drainage area of 1,917 square miles. Kanopolis Lake, on the other hand, has an average depth of 19 feet, surface area of 3,406 acres, and is located on the Smoky Hill River and controls a drainage area of 7,860 square miles. A measurable population of Dreissena polymorpha was found in Wilson Lake in 2009. Due to the recent finding of these invaders, the population has not reached the equilibrium that is often times met after introduction to a new location. Kanopolis Lake is still uninhabited by Dreissena polymorpha. A Figure 3. The sampling locations, Hell Creek Bridge (A), Wilson Lake Marina (B), and Wilson Lake Tower (C) can be found in this map of Wilson Lake. A C B Figure 4. The sampling locations, Boldt Bluff Access (A), Tower Harbor Marina (B), and Venango Beach (C), can be found in this map of Kanopolis Lake. Figure 2. The two sampling locations, Wilson Lake and Kanopolis Lake, can be seen on this map of Kansas. All samples were taken at three locations along the shoreline of each lake. The 3 locations were chosen in an attempt to resemble a location from the The methods outlined in the USACE report for zebra mussel abundance prepared by the National Park Service were used to derive the methods for this study. From the three predetermined locations, five quadrants (1/8 m2) were thrown randomly. All material within each quadrant to fingers depth was Zebra Mussel Survey at Wilson Lake and Kanopolis Lake – Hlad collected in a plastic pail with small holes approximately 3mm in diameter drilled in bottom to release water. The contents of the pail were then transferred to a plastic Ziploc bag labeled for each quadrant. Samples collected from each quadrant were labeled and stored in a cooler for later analysis. After going through the initial filtering process, each sample from each quadrant was examined separately to determine the exact number of zebra mussels in each sample. Photos and descriptions of Driessena polymorpha were used to determine the species present within the samples. Several weeks after the secondary sampling, water was released from the Kanopolis Lake reservoir exposing much of the shoreline. A follow up observation was completed by walking the shorelines and examining for the presence of zebra mussels and none were found. RESULTS After each sample was collected and counted, the data was analyzed using SigmaStat. Each set of data was run through a descriptive statistics test. Because zebra mussels (Dreissena polymorpha) were not discovered at Kanopolis Lake during testing, Those samples were excluded from SigmaStat analysis. The samples taken from Hell Creek Bridge at Wilson Lake on 9/22/10 had a mean value of 253.2 ± 43.57. While the samples taken on 12/11/10 had a mean value of 230.8 ± 69.77. Wilson Lake Marina samples had a mean value of 120.6 ± 30.80 and 118 ± 25.03 respectively. The overall small size of the zebra mussel combined with relatively small amount of samples that were taken are the cause of the large standard deviations associated with the Wilson Lake Marina and Hell Dreissena polymorpha Values in Wilson Lake Creek Bridge values. 350 Zebra Mussel count 300 250 Hell Creek Bridge 200 150 Wilson Lake Marina 100 50 Wilson Lake Tower 0 1 2 3 Sampling Locations Plot 1 Figure 5. The values of Dreissena polymorpha found in the sampling locations at Wilson Lake also described in the text. The error bars show the standard deviation associated with each value. 21 Samples taken from the Wilson Lake Tower were also uninhabited by zebra mussels. This is most likely due to the terrain at this location. The Wilson Lake Tower provides a sandy environment that Dreissena polymorpha seem to have difficulty establishing in. DISCUSSION The Hell Creek Bridge location at Wilson Lake had a much larger overall mean value than the other locations. This large value is most likely due to the habitat that makes up that location. Hell Creek Bridge is an extremely rocky area with little sand. The zebra mussels at this location were stacked several layers high. This could be reflective upon the environment or the duration they have inhabited that particular location. Samples taken at Wilson Lake Marina had a mean value much lower than the Hell Creek Bridge samples. Sampling at this location was slightly different from the others because the mussels were removed from the flotation supporting the docks. This means that the zebra mussels were under little water and their exposure was dependent on the lake elevation. I assumed the counts at the Marinas would be much lower than the other areas but sampled them due to the high boat traffic that enters and leaves the marinas. The zebra mussels here were only a couple layers thick leading me to believe that the population had not been there as long as the Hell Creek Bridge mussels or they did not prefer this area in comparison to the rocky area. Wilson Lake Tower results were somewhat surprising. The values were anticipated to be much lower due to the environment, but were not expected to be nonexistent. This could be a result of the zebra mussels’ habitat requirements or my sampling techniques. Some of the Dreissena polymorpha are so small that it would be difficult to detect them by sifting through wet sand. After the analysis of all my samples of Kanopolis Lake, no Dreissena polymorpha were detected. This makes Kanopolis one of the last lakes in the area to still be uninhabited. With the surrounding lakes being infected and the high amount of visitation that occurs at Kanopolis Lake, the infestation of zebra mussels is probable. For further research, I would suggest an increased amount of samples per location. This would allow for a more accurate mean value and standard deviation. The relative size of zebra mussels in comparison to the sampling location made it very difficult to get consistent values. I would also sample at completely random locations if possible. Meaning, I would not constrict the sampling locations to only on the shoreline. That would enable one to estimate a total population of Dreissena polymorpha for the entire lake. It would also be interesting to expand the 22 Cantaurus environments that are sampled to include submerged objects such as trees. I believe these few changes would make a considerable difference in the outcome of the experiment. ACKNOWLEDGEMENTS I would like to thank Dr. Van Asselt and Dr. Ayella for their guidance and support throughout the course of my project, as well as the staff at Kanopolis Lake and Wilson Lake for their input. Also, I would like to thank McPherson College Natural Science Department for funding my research and the use of their facilities. Lastly, I would like to thank my brother, Kyle Hlad, for his help throughout this process. LITERATURE CITED Benson, A. J. and D. Raikow. (2011). Dreissena polymorpha. USGS Nonindigenous Aquatic Species Database, Gainesville, FL. <http://nas.er.usgs.gov/queries/FactSheet.aspx?sp eciesID=5> RevisionDate: 7/8/2010 Burlakova, L. E. (2006). Changes in the distribution and abundance of dreissena polymorpha within lakes through time. Hydrobiologia, 571, 133-146. KDHE. (2003). Zebra mussel: their inevitable arrival in kansas. Kansas Department of Health and Environment, Retrieved from <http://www.kdheks. gov/befs/download/zebra_mussel_article.pdf> Naddafi, R. (2007). The Effect of seasonal variation in selective feeding by zebra mussels (dreissena polymorpha) on phytoplankton community composition. Freshwater Biology, 52, 823-842. National, P.S. U.S. Army Corps of Engineers, St. Paul District. (2006). Quantitative assessment of zebra mussels at native mussels beds in the lower st. croix river. St. Croix Falls, WI: National Park Service. Cantaurus, Vol. 19, 23-25, May 2011 © McPherson College Division of Science and Technology A Comparison of the Prevalence of Tinea Pedis in the Morrison and Bittinger Shower Drains of McPherson College Dylan Jandreau ABSTRACT Tinea pedis is the fungus that is responsible for causing athlete’s foot. Athlete’s foot is when the foot begins to itch, burn, crack, hurt and bleed. This can be very uncomfortable for the person. Athlete’s foot can be spread through direct contact of the skin or by indirect contact through other objects, such as towels and floors. The purpose of this experiment was to compare the prevalence of Tinea pedis in the Morrison and Bittinger shower drains of McPherson College. This was done by collecting a sample from each of the shower drains and then by growing this sample in a petri dish of Sabouraud agar. I collected samples from all thirty-two showers. There were sixteen showers in each dorm. The samples were then placed into a thirty-seven degree incubator and left to grow for two weeks. Once this time had passed a simple crystal violet stain was performed on each sample. The samples were then examined under a microscope to identify whether the sample was fungal or bacterial. This examination revealed that of all the showers sampled only one contained fungus. Keywords: Tinea pedis, athlete’s foot, fungus, shower, shower drain, Morrison, Bittinger, McPherson College. INTRODUCTION Tinea pedis which is more commonly known as athlete’s foot is a fungus that can affect anyone. Most people typically think of Tinea pedis as a fungus that can only affect people who play sports, however this is not the case. People are at risk of developing Tinea pedis if they wear shoes. When people wear shoes their feet rub on the shoes and create friction. The friction creates sweat that helps create the ideal environment for Tinea pedis to grow in. Another factor that increases the chances of developing Tinea pedis is the use of communal showers. This is another reason that people typically think of athletes as being the ones who develop Tinea pedis. So with these risk factors in mind I want to discover and compare the prevalence of Tinea pedis in the Morrison and Bittinger Hall shower drains. Many people have an idea of what Tinea pedis is but they do not fully understand what it is. People think that it is just an itching of the foot, and while this is part of what Tinea pedis is it is not the whole fungal infection. Tinea pedis has many symptoms that include: dry skin, itching, burning, cracking, pain, and bleeding (Athlete’s Foot, 2010). Tinea pedis is not something that should be taken lightly as it is a fungal infection that can be spread through contact either directly or indirectlty. If you use a shower that a person with Tinea pedis has recently used then you could obtain Tinea pedis yourself. According to a study done by Field (2008) it has been observed that a higher number of Tinea pedis cases exist among athletes. This could be caused because athletes are sweating from their feet and creating an ideal environment for the fungus to grow. The athletes are also creating a lot of friction that helps cause Tinea pedis (Field 2008). To determine if Tinea pedis is present in the showers I will use a method similar to Albert (2007). I will make some slight adjustments due to the fact that I will not be using skin samples to test for Tinea pedis (Albert, 2007). The purpose of this experiment is to discover whether or not Tinea pedis even exists in the showers. If it does exist there is it more prevalent in an all male or all female dorm. I think this will be valuable information for people who live in these dorms. If I do discover a significant amount of Tinea pedis present then this will be valuable to McPherson College so that they can address their cleaning methods in the showers. MATERIALS AND METHODS To determine if Tinea pedis is present in the showers I will use a method similar Albert (2007). I will make some slight adjustments due to the fact that I will not be using skin samples to test for Tinea pedis (Albert, 2007). The materials that were needed included: sterile cotton swabs, Sabouraud agar, markers, thirtyseven degree incubator, test tubes, petri dishes, autoclave, slides, crystal violet stain, and a microscope. The first step to perform in this experiment was to obtain the permission of McPherson College. The permission of the college was needed as this could be an ethical issue since it deals with the students and their personal health. The next step that was performed was to find out what time the bathrooms were cleaned and then determine what time the samples would be taken from the bathrooms. The next step was to go and collect the samples. The samples were taken by using sterile cotton swabs 24 Cantaurus and sticking them down into the shower drain and rubbing them around. After this was done the cotton swab was then be placed into a sterile test tube. The end of the cotton swab that has the sample on it was then cut and placed on the agar. The agar that was used was Sabouraud agar and it was prepared by following the instructions on the bottle. Then the sample was labeled with correct information. Once the sample had been obtained it would need to be tested for Tinea pedis. To test for Tinea pedis the sample was placed in an incubator set to thirty-seven degrees Celsius so that the fungi could grow. After two weeks in time had passed the sample was removed from the incubator. After the fungus had a chance to grow on the agar it was helpful to perform a simple gram-stain in order to help confirm that Tinea pedis was the fungus that was present in the showers. This made it easier to see and identify the fungus. This was done by taking a small amount of the growth from each plate and placing it on individual slides. After placing the culture on the slide it is necessary to dry or fix the culture over a gentle flame. The next step was to add the stain. Once the slides were stained they were examined under a microscope. This is when each slide was classified as bacterial or fungal. Once the amount of shower drains containing fungus was determined a χ2 Test of Homogeneity was performed. For this test the critical value was 0.05 and the degree of freedom was one (LeBlanc, 2008). RESULTS After collecting and plating all of the samples I needed to use a microscope to further examine them. I sampled from two dorms and from thirty-two showers. Through further examination I was able to discover which of the showers had bacteria and which of the showers had fungus growth. Some of the showers in each of the dorms had showers that had no growth. In the Bittinger Dorm the showers with no growth were: Lower Left numbers two and three, Lower Right number four, and Upper Right numbers three and four. In Morrison the showers with no growth were: Lower Left numbers one, two, three, and four, Lower Right numbers one and four, and Upper Right numbers one and four. Of the samples that did have growth, the one that had fungus was in Bittinger and it was the Lower Right number two shower. In order to determine if the amount of Tinea pedis fungus that was found was a significant amount a χ2 Test of Homogeneity was performed. The results from this test concluded that the amount of Tinea pedis present in the shower drains was not a significant amount. DISCUSSION So based on the results I did not find exactly what I thought I would. While I did discover some Tinea pedis, I did not find the amount that I expected. I expected to find the fungus in multiple showers in both of the dorms. The fact that the fungus was discovered in only one of the thirty-two showers will be comforting to the residents of those dorms. Since it was concluded that the amount of Tinea pedis was not significant this meant that the Tinea pedis was there due to random chance. So it was normal and should have been expected to find at least the presence of Tinea pedis. I cannot be sure of the exact reason that the fungus was not high in presence in the showers but my guess would because the showers are being cleaned properly. The showers were cleaned daily, Monday through Friday, and they were disinfected with a one-step disinfectant called Virex II 256. This is the same cleaner that is used in hospitals and other health care facilities (Staff, 2011). Another possible reason was that of the people that used the showers none of them had the Tinea pedis fungus present on their feet. The methods of acquiring and testing the samples could also have been an issue and created an error in the results. The time that the showers were sampled could also have had an impact on the results. There might have been more fungus present if I would have sampled when the showers had not been cleaned for almost twenty-four hours. If I were to change anything with this experiment it would be that I would collect samples from more showers. This would allow for a greater variety of people and showers. This would also allow me to test showers that are designed different and could possibly hold bacteria and fungus more than the other style of showers. I would also want to collect my samples at a different time such as the weekend when the showers are not cleaned. I believe doing these few steps differently would lead to different results. ACKNOWLEDGEMENTS I would like to thank Dr. Frye and Dr. Ayella for their advice and guidance on my experiment. I would also like to thank Amber Novinger for her assistance with this experiment. Finally, I would like to thank McPherson College for funding and allowing me to perform this experiment. LITERATURE CITED Albert, S. 2007. Effective Strategies in the Management of Tinea Pedis. First Report July 2007: 3-12. Tinea pedis In The Showers – Jandreau Athlete's Foot. (2010). Retrieved April 22, 2010, from MedicineNet.com: http://www.medicinenet.com/athletes_foot/article.h tm Field A. and Adams B.B. 2008. Tinea Pedis in athletes. International Journal of Dermatology, Volume 47: 485-492. LeBlanc, D. C. (2008). Statistics: Concepts and Applications for Science. Tichenor Publishing & Printing. Staff, M. C. (2011, March 31). How Do You Clean The Showers. (D. Jandreau, Interviewer) 25 Cantaurus, Vol. 19, 26-28, May 2011 © McPherson College Division of Science and Technology What is the Distribution of Lung Capacity Amongst the McPherson College Students? Christover Lange ABSTRACT This experiment was conducted to find an average lung capacity of students on the McPherson College campus. The lung capacity is typically based on the size of the individual. The subjects were asked if they would like to take part in the experiment, then asked to take a survey. The survey consisted of a series of simple questions regarding to: sex, height, weight, and fitness. After the survey was finished, the subjects were then instructed how experiment was going to work. They were directed to take several deep breaths, then to exhale with as much force as possible into a spirometer that was plugged into the Iworx software. They were asked to replicate this process two more times. Once the subject had completed the physical test, the data were gathered and organized so that it could be analyzed. The data were plugged into the computer for analysis. The averages lung capacities for the subjects are as follows: 5.516 L, 2.139 L., 3.877 L., 2.202 L., 2.298 l., 2.529 L., 4.399 L., 4.297 L., 3.76 L., 2.951 L., 4.393 L., 4.128 L., 3.841 L., 2.733 L., and 2.263 L. After analysis some outliers were discovered such as abnormal lung capacities for a relatively large healthy individual. However besides this one instance the rest of the data came back within the relative expected norms. Therefore a hypothesis that lung capacity is related closely to size is still very possible. Keywords: Lung capacity, lung volume, size-Lung capacity ratio, spirometry, vital capacity. INTRODUCTION The objective of this research project is to establish the distribution of overall lung capacity of the McPherson College student body. A broad spectrum of factors that contribute to a general population’s overall lung capacity will be investigated. In doing this study, hopefully a better understanding of which individuals have a significant respiratory advantage, i.e. the ability to have a larger capacity for oxygen uptake, due to past exposures, genetic factors, and overall fitness will be obtained This project will be modeled after several others. The most influential on this project will be that of Cui, et al (2008). This specific article provides a basis for the methods that will be used to gather the data need to fulfill the experiment. It involves a spirometer to measure the FEV (Forced Expiratory Volume) which will be the basis of how my project will measure the same data, except I am using the FVC (Forced Vital Capacity). Cui, et al (2008) also describes in detail the process of finding a background to the individuals involved, by asking for an extensive medical history. By asking for a general medical history, I will be further able to determine the origins from which certain respiratory conditions came. There are also many articles that show the effects of external factors on individuals’ respiratory health such as Meo, et al (2009) and Hernandez, et al (2008). These articles include exposure to oil spills, city pollution, and other factors that may have contributed to certain environments and how they affected the inhabitants of that region. This is important because not every region has the same environmental factors that may affect the lung capacity of the inhabitants. These factors are just some of the contributing details to the overall health of certain inhabitants. Even though these are significant variables I will be unable to link them unless the subjects have prior knowledge of being exposed. There are also articles like that of Pieters, et al (2000), that show more biological reasons for different lung capacities, such as malnutrition and the effects it has on the individuals who do not receive the proper amount of nutritional value recommended. Another factor that affects the lung capacity of a population is the overall fitness and health of individuals. A more physically fit individual will have a better lung capacity than that of a non-exercising individual. One other basic area that may affect the lung capacity of an individual are respiratory conditions such as asthma and allergic rhinitis, which inhibit a natural breathing function. The make-up of the body may also play a role, such as size i.e. 6’6” 330 lbs. vs. 5’4” 110 lbs. These two individuals would have a difference in chest circumference; therefore the lung capacity should be different. The gender of the participant could also yield different results. All of the variables discussed would have a dramatic effect on the lung capacity of an individual. Therefore all of these variables will be taken into account when analyzing the data. MATERIALS AND METHODS This project is based off an experiment conducted by Cui, et al (2008) on lung function and cytokine levels. Lung Capacity Amongst McPherson College Students – Lange Surveys were given to the subjects before they participated in the experiment, these surveys asked for: sex, height, weight, chest circumference, a brief personal history, and an account on personal physical fitness. After the survey was completed, the subject was ready for the experiment using the spirometer and the I-worx program. The data were gathered. Disposable, detachable mouth pieces were used for sanitary reason. The subjects perform a FVC test that is given to them at a state of rest, this way I can take data points of individuals and not push any ethical issues that may harm the subject. Also in doing the tests at rest I hope to avoid any unknown variables that I could not have foreseen. The subjects inhaled a couple of deep breaths, and then took one final one and exhaled with full force into the spirometer head and the data was recorded. After all the data was collected, it was analyzed through the Sigma Plot software. With the best fit being a multiple linear regression. 27 being 6’5” and 5’2”. Also when it came to fitness, most of the subject considered themselves rather fit. The results of this experiment seemed to take a normal pattern. After procuring several samples from the subjects, I found that the larger a body the more likely that individual is to have a larger lung capacity. All 15 subjects went through the same process so if there was an error it had to be either because of the method or because of technical error from the Iworx system. The average lung capacity of the subjects was 3.376L, with the maximum of 5.805L and a minimum of 2.004L in respect to all the subjects. There were a few outliers however with the normal idea of larger equaling a higher lung capacity. Subject D was a male, 20 years of age, 6’2” and weighing 220 lbs, and he is an athlete at the college. However his maximum exhalation only came to 2.202L which I found to be rather low for someone in his situation, I do not however have an explanation for this, after speaking to him about the low results; he stated that his doctors had also been a little confused by his low lung capacity. 2D Graph 1 RESULTS Table 2: Statistical Analysis between two subjects 5 Volume (Liters) 4 3 2 1 0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Subjects Figure 1: Volume exerted the subjects. Col by 1 Table 1 Survey of Subjects (9 Men and 6 Female) Large Medium Small Grand Total Sum of H Sum of W Sum of F Sum of B.T. 5 5 5 15 5 5 5 15 4 6 5 15 4 6 5 15 The surveys yielded a broad spectrum of subjects. The student had a vast range in height, the extremes Subject D Mean 2.202 Standard Error 0.013503 Median 2.215 Mode #N/A Standard Deviation 0.023388 Sample Variance 0.000547 Kurtosis #DIV/0! Skewness -1.72849 Range 0.041 Minimum 2.175 Maximum 2.216 Sum 6.606 Count 3 Confidence Level (95.0%) 0.058099 Subject F Mean 2.528667 Standard Error 0.047959 Median 2.544 Mode #N/A Standard Deviation 0.083068 Sample Variance 0.0069 Kurtosis #DIV/0! Skewness -0.80234 Range 0.164 Minimum 2.439 Maximum 2.603 Sum 7.586 Count 3 Confidence Level (95.0%) 0.206353 Here is a comparison of Subject D and subject F who are both relatively the same in every physical category except lung capacity. So the two subjects in theory show have been similar yet, they their lung capacities are far different. I did find that males generally have a high lung capacity than females, and that usually the larger one is the more likely they are to have a larger lung capacity. Normality Test: passed (P=0.132), constant variance test passed (p=0.514) 28 Cantaurus Table 3: Analysis of Variance Table Reg. DF 2 SS 7.874 MS 3.937 Res. Total 12 14 1.226 9.1 0.102 0.65 F 38.527 P< .001 DISCUSSION The results of this experiment seemed to have followed the path I had hypothesized originally. For most of the subjects size had the most impact on the lung capacity. There were a few exceptions that led me to believe that maybe the lung capacity of individuals may not merely depend on size but as for the most part they do. In previous experiments size had been the main contributor to capacity. The one outlier subject I had also could not provide an explanation as to why their lung capacity was so low for their size. They stated that previous medical examinations have been confused by the subject’s volume exerted into a spirometer. This is one subject that I could not find an explanation for. The rest of the subjects seemed to keep with size and gender, i.e. a large male would have a high lung capacity whereas a small female would have a lower lung capacity. After completing this experiment, I have come to realize that a few things should have been handled differently. For example, the sample size should have been increased dramatically. By doing this it would have provide a better foundation for analysis. Another thing that would have helped this project greatly would have been to narrow down the subject field, say to a certain group on campus. By simplifying the search and allowing for a more intricate study of lung capacity, I believe that future scientist will be able to follow my work and make a better analysis of the study. ACKNOWLEDGEMENTS I would like to thank the McPherson College Natural Science Department, Dr. Jonathan Frye and Dr. Allan Ayella, and all of my subjects for without whom none of this would have been possible. LITERATURE CITED Cui,R.,Bei, H., Yun, M., Yuzhu, W., Mingwu, Z.2008 Lung Function and Cytokine Levels in Professional Athletes. Journal of Asthma 45(4): 343-34. Hernandez, A., Casado, I., Pena, G., Gil, F., Villanueva, E., Pla, A. 2008 Low Level of Exposure to Pesticides Leads to Lung Dysfunction in Occupationally Exposed Subjects. Inhalation Toxicology 20(9): 839-849 MEO, S., Al-Drees, A., Rhaseed, S., Meo, I., Khan, M., Al-Saadi, M., Alkandari, J., 2009 Effect of duration of exposure to polluted air environment on lung function in subjects exposed to crude oil spill into sea water. International Journal of Occupational Medicine & Environmental Health 22(1): 35-41 Pieters, T., Boland, B., Beguin, C., Veriter, C., Stanescu, D., Frans, A., Lambert, M. (2000) Lung function study and diffusion capacity in anorexia nervosa. Journal of Internal Medicine 248.(2):137142 Cantaurus, Vol. 19, 29-31, May 2011 © McPherson College Division of Science and Technology Comparison of Coping Self-Efficacy Levels Between Freshmen and Seniors at Scott Community High School Tecie L. Turner ABSTRACT This study examined the differences in levels of coping self-efficacy among two populations: freshmen and seniors in high school. All participants were asked to complete a nine item, discrete value questionnaire titled the Next Element Outcomes System (NEOS), followed by two open-ended questions. The two types of questions allowed for both quantitative and qualitative results. The NEOS provided quantitative results in three categories: openness, resourcefulness, and persistence. Qualitative data, collected by means of the openended questions, provided participants’ explanations to their values assigned for coping self-efficacy. Analysis of quantitative data revealed a general trend of increased coping self-efficacy levels following high school education. The difference in mean values on the NEOS, between the two populations, was greater than would be expected by chance (P=0.00184). A comparison of individual categories across the two populations expressed a statistically significant difference among resourcefulness (P=0.030) and persistence (P=0.034), but not openness (P=0.255). Qualitative data resulted in a distinction in explanations between the two populations. Freshmen were more likely to provide explanations based on their personality type, while seniors’ results included actual experiences leading to such distinctions. Keywords: Coping, self-efficacy, openness, resourcefulness, persistence. INTRODUCTION The ability to cope with challenging circumstances is certainly vital. At times, a person may thrive due to their actual abilities to do so. One’s confidence plays a significant role in determining the outcome of situations. Occasionally, being overly confident in one’s abilities can lead to failure. This study was designed to observe whether or not high school experiences have an effect on confidence by analyzing levels of coping self-efficacy. Self-efficacy is defined as the degree of confidence in one’s ability to carry out a specific set of behaviors and reach a specific goal (Pajares and Urdan, 2006). The level of self-efficacy refers to its dependence on the difficulty level of a particular task. Coping self-efficacy involves the perceived selfefficacy in dealing with threats. In the present research, levels of coping self-efficacy were investigated among two populations: freshmen and seniors in high school. It was hypothesized that levels of coping self-efficacy will be greater among the seniors in comparison with the freshmen population. Explanations behind such levels were also studied in the research. Several studies have been performed relating to this topic of research. However, they either involve the broad idea of self-efficacy, or include populations varying from those chosen for this particular study. None of the literature reviewed is specific to the concept of high school experience affecting levels of coping self-efficacy. For example, one particular study examined differences in self-efficacy among college students in good academic standing and college students on academic probation. Results indicated that self-efficacy and mastery goals were positively related to academic standing. Both quantitative and qualitative results were collected for this study. Quantitative results were gathered by means of a discrete number questionnaire (NEOS), while quantitative data was based on explanations to two of the items on the questionnaire. The additional questions were useful for providing brief explanations to the values assigned to the two particular questions on the NEOS. MATERIALS AND METHODS The study includes two populations: freshmen and seniors in high school. Both populations were enrolled in Scott Community High School, which is located in the state of Kansas. Participants included individuals of both sexes. Participants were asked to complete a nine item questionnaire involving coping self-efficacy, followed by two open-ended questions. The questionnaire is titled the Next Element Outcomes System (NEOS). Each of the nine questions on the NEOS requested a rating for two situations: “Me at Work”, and “Me at Leisure”. These two situations were used together to develop NEOS scores in three categories: openness, resourcefulness, and persistence. Questionnaire results include discrete values ranging from zero to ten. Qualitative data consisted of two questions. Such questions were based on specific items located on the questionnaire (Hsieh et. al., 2005). These were Coping Self-Efficacy – Turner open-ended questions involving the participant’s opinion as to why he/she chose given values on the NEOS. Interpretation of participants’ qualitative results was made by first typing in an easy-to read format. Results were then analyzed for merging themes. RESULTS Data from the NEOS produced results for three categories (openness, persistence, and resourcefulness). Scores ranged from zero (no confidence in ability) to ten (high confidence in ability) in each of the three categories. Results from the NEOS were analyzed by means of a Two Way Analysis of Variance (ANOVA). This test allowed for a comparison of the mean values among the two populations, as well as each category individually between the populations. Overall, as indicated by the ANOVA, the senior class rated themselves higher than the freshmen in coping self-efficacy. The mean score for freshmen was 6.691, while the mean score for seniors was 7.311. This difference is greater than would be expected by chance (P=0.00184). A comparison of individual categories across the two populations expressed a statistically significant difference among resourcefulness (P=0.0300) and persistence (P=0.0340), but not openness (P=0.2550). Below is a bar chart, illustrating the differences in results between the two populations. Comparison of Freshmen and Seniors NEOS Scores 10 Fr Sr 8 6 4 2 n ea M te is rs Pe R es ou O rc ef pe ul nn e ne ss ss nc e 0 Figure 1: Comparison of freshman and seniors Qualitative results were interpreted for participants’ explanations to their chosen scores. Such results expressed a distinction between the two populations. Freshmen articulated a common theme of basing their opinions of themselves on their personality type. Seniors’ results, however, contributed their value outcomes to previous personal experiences. 30 DISCUSSION Based on results found from this study, there is a significant growth in levels of coping self-efficacy throughout an individual’s time in high school. In addition, one’s perceived thoughts of such efficacy tend to be due to personal experiences, rather than personality types, by the end of their education. With these conclusions made, it is important to recognize one main factor that may have altered results. Freshmen data was collected at the beginning of their class period. On the other hand, senior data was collected following a standardized test. This difference in data collection environments may have been significant. The senior population could have been exhausted from the test, while freshmen were likely refreshed at the beginning of their class. In addition, freshmen likely did not feel a need to rush the questionnaire, while seniors may have felt a sense of urgency to return to their class schedule. These two aspects of the study should not be overlooked when examining the results. Students were all enrolled at one particular school. This detail assured that the two populations would be as similar as possible. However, with more time, it would be useful to survey populations at multiple high schools for more inclusive results. In conclusion, findings from the study express a statistically significant difference in coping selfefficacy between the chosen populations. According to results presented, seniors in high school exhibit higher levels of coping self-efficacy than freshmen in high school. ACKNOWLEDGEMENTS Jeff King and Nate Regier at Next Element Consulting allowed for my use of their self-efficacy questionnaire, which was certainly a vital portion of my research. Also, in order to collect data from high school students, Shelly Turner at Scott Community High School cooperated thoroughly with me, in an incredibly rapid pace. She, as well as employees and students at SCHS, allowed for a smooth data collection process. Considering my lack of previous experience researching in this field of study, I turned to two particular instructors in the Behavioral Science department at McPherson College. Dr. Bryan Midgley and Dr. Laura Eells were of significant assistance through the learning process. Finally, as my core advisor on this particular research for the past two years, Dr. Jonathan Frye has been an essential factor in the success of this study. The guidance, support, and certainly patience in which he exhibits have been truly appreciated. Coping Self-Efficacy – Turner LITERATURE CITED Pajares, F., and T. Urdan. 2006. Self-Efficacy Beliefs of Adolescents. Greenwich, CT: Information Age Publishing. 298 pp. Hsieh, P., J. R. Sullivan, and N. S. Guerra. 2007. A Closer Look at College Students: Self-Efficacy and Goal Orientation. Journal of Advanced Academics, 18: 454-476. 31 Cantaurus, Vol. 19, 32-36, May 2011 © McPherson College Division of Science and Technology The Effectiveness of Multi-purpose Disinfecting Solutions Against Clinically Isolated Micro-Organisms Ashley Zodrow ABSTRACT To quantitatively asses a contact lens multipurpose disinfecting solution’s effectiveness, the ISO recommends a 3-log reduction against bacterial species and a 1-log reduction against fungal species. This standard, upheld by the FDA, is tested against pure strains of microorganisms from the ATCC. Recent concern has arisen regarding the use of these pure laboratory cultures as sufficient standards for evaluating the biocidal effectiveness of disinfecting solutions. In this study, the effectiveness of four disinfecting contact lens solutions was assessed by inoculation in three replicates with clinically isolated bacterial strains; one strain arose from an ocular infection, while two other strains were isolated from inanimate surfaces in a non-optometric clinic. The four solutions tested included Opti-Free Replenish®, Complete®, Re-Nu Sensitive®, and Equate®. All four solutions passed the 3-log reduction requirement when inoculated with the isolate from the ocular infection, later identified as Staphylococcus warneri. The four solutions failed to meet the 3-log reduction in one or more of the tests against the strains of bacteria which were non-ocular in origin. Keywords: Contact lens, disinfecting solution, ocular infection, solution effectiveness, Staphylococcus warneri. INTRODUCTION Historically, contact lens wearers have been identified as a demographic group with increased susceptibility to ocular infections (Ritterband, 2007). For users of one extended wear silicone hydrogel, the rate of infectious incidence was 18 cases per 10,000 wearers (Schein et. al., 2005). Similarly, a study conducted in the United Kingdom regarding extended wear silicone hydrogels, found users of this type of contact to have an incidence rate of 19.8 cases per 10,000 wearers (Morgan, 2005). Therefore, while not every contact lens wearer should expect complications, doctors of optometry and ophthalmology, lens manufacturers, and manufacturers of lens care solutions share interest in ongoing research that can lead to the development of products and lens care guidelines to further improve contact lens wearers’ health and safety. Several factors contribute to the development of an infection. Specific wearing patterns have been linked to greater risk of bacterial colonization of lenses and associated care materials (Yung et. al., 2007). However, contamination alone does not guarantee that a user will develop an infection. Patient compliance and safe-handling of the lens are other contributing factors which Yung et. al. identified. Furthermore, the health of the cornea may be affected by dryness, trauma, or underlying conditions which may predispose a patient to a higher risk of infection (Stone, 2007). All other factors considered, the disinfecting solution’s effectiveness is the one most easily manipulated and controlled by the eye care suppliers and healthcare providers. A multi-purpose disinfecting solution’s effectiveness depends upon the environment within which the solution is stored, the interaction of the solution with the corneal epithelium of the wearer, the binding properties of the solution with the case or contact, the solution’s ability to attack biofilms, and the species of microorganism with which the solution interacts. Solutions have been shown to lose bactericidal ability over a three month storage period, and when storage temperatures are altered (Leung et. al., 2004). Also, certain brands of silicone hydrogel lenses combined with solutions containing polyhexamethylene biguanide as the active ingredient are more prone to disturbing the protective corneal epithelium, thus leaving the tissue more vulnerable to potential infection (Stone, 2007). An ideal solution would not be absorbed into the lens surface or the surface of the case. Re-Nu with MoistureLoc® has previously shown to be less effective against Fusarium due in part to the disinfectant’s absorbance into the case and lens materials, and also due to the inactive ingredients’ ability to bind and mask the microorganism (Ritterband, 2007). Microbial communities can also become more resistant to solutions’ active ingredients when the microorganisms form biofilms; thus testing a pathogenic strain in its “planktonic” form can yield different predictions of outcomes for a disinfecting solution’s efficiency than that which is actually observed when the microorganism has formed biofilms on the lens surface (Flynn et. al., 2009). Finally, an effective solution must be able to perform adequately both against bacterial and fungal pathogens, which differ greatly in cellular structure (Boost et. al., 2010). To quantitatively evaluate solution effectiveness, the ISO, International Organization for Standardization, requires a multi-purpose solution to demonstrate a 3-log reduction against bacterial pathogens and a The Effectiveness of Multi-purpose Disinfecting Solutions – Zodrow 1-log reduction against fungal microorganisms in their planktonic form (Hume et. al., 2007). In accordance with the Food and Drug Administration, or FDA, guidelines, solutions are tested with pure laboratory strains which are cultured and recommended by the American Type Culture Collection, or ATCC, as a supplier (Hume et. al., 2007). Recently, concern has arisen regarding the use of pure laboratory cultures as a sufficient standard for evaluating a solution’s biocidal effectiveness. While proving to be effective against laboratory strains of microorganisms, certain multi-purpose solutions tested with environmentally and clinically isolated strains of fungi failed to meet the above criteria (Boost et. al., 2010). Also, a clinically isolated strain of Serratia marcescens was tested in five multipurpose solutions, two of which were found to be ineffective against the bacteria (Hume et. al., 2007). Thus, further study is needed to improve current testing procedures and to understand the interaction of solutions with clinically and environmentally encountered strains of microorganisms. The objective of this study is to test multi-purpose solutions from the common classes of disinfectants including: polyhexamethylene biguanide, polyaminopropylbiguanide, myristamidopropyl dimethylamine, alexidine, and polyquaternium-1, against bacterial specimens of both ocular and non-ocular origin. These disinfecting agents function as bactericides by different means. However, each of the disinfectants affects the structural integrity and permeability of the bacterial cell membrane (McDonnell and Russell, 1999). The hypothesis is that all multi-purpose solutions will exhibit a 3-log reduction of the microorganisms from each of the three isolates after the manufacturers’ recommended exposure time in solution. MATERIALS AND METHODS To collect clinical pathogens for isolation, contact lens wearers with an ocular infection agreed to contribute their disposable lenses. The lenses were kept in Blairex ® sterile saline solution until the samples could be transported to the laboratory for culture. While waiting for inoculating media to be prepared, the samples were stored in their cases in the refrigerator. All inoculating media were autoclaved at 121°C for a period of at least fifteen minutes; the total time in the autoclave averaged fifty-five minutes. Once the inoculating media was prepared, samples were transported to the enclosed flow hood system. The hood work area and inoculating materials were first sterilized by ultraviolet radiation for threefive minutes. The contact lenses were transferred into tubes of nutrient broth (Oxoid) by tweezers which were sterilized with ultraviolet radiation and by flaming with isopropyl alcohol. If lenses adhered to the surface of the tube, a sterile micro-loop was used to push the lens into the media. After the inoculated 33 tube exhibited growth, a sterile micro-loop was dipped into the media and used to create a streak plate on nutrient agar (Oxoid). Successions of streak plates were then generated in an attempt to produce an isolated colony. All inoculated materials were incubated at 37°C, except when transferred to the refrigerator for prolonged periods of storage. The first infectious pathogen was collected 7-282010, and consisted of Gram negative rods as indicated by Gram staining. This strain eventually became unviable in laboratory culture, perhaps due to prolonged storage conditions in the refrigerator and incubator. A second sample consisting of cocci was collected 11-04-2010. Gram staining of this strain was ambiguous, as both Gram positive and Gram negative coloration was observed. This observation was attributed to the differences of smear thickness on the slide, which could create areas of denser staining. To further clarify the identity of the cocci, a test tube containing nutrient agar media (Oxoid) at a slant was prepared and inoculated from an isolated colony to be sent to Molecular Epidemiology, Inc., for genetic identification. The cocci isolated in the slanted tube of agar were used to inoculate a fresh tube of nutrient broth (Oxoid) and this tube was used to create all later tubes for testing this strain. Of notable interest, the wearer of the lens from which the cocci were isolated had suffered previous ocular trauma not related to use of the lens, and had since developed symptoms of infection after resuming use of the lens. In order to diversify the collection of test organisms, a strain of Gram positive rods and a separate strain of Gram negative rods were contributed from the project conducted by Karissa Ferrell regarding the prevalence of oxacillin resistant microorganisms. These rods were therefore isolated from inanimate surfaces, and were not of ocular origin. Both strains had been plated on an oxacillin treated mannitol salt agar media originally. These two plated strains were used to inoculate tubes of nutrient broth (Oxoid), then transferred to streak plates. Isolated colonies were used to inoculate fresh tubes of the nutrient broth and were used to generate all tubes used for further testing of these strains. A Gram stain of the isolates confirmed the previous Gram staining observation conducted by Karissa Ferrell. To determine the initial colony forming units, or CFU’s, per tube of inoculate, a series of 1:10 dilutions was plated for each of the isolates. A single mL of inoculate was transferred into tubes containing 9 mL of nutrient broth to bring the total volume to 10 mL. Aliquots of 100 µL were plated and disbursed across the nutrient agar with the sterilized spreader tool. To ensure consistent concentration of cells in the inoculating media, all dilution tubes were vortexed for at least 30 seconds before the next aliquot was transferred to the next tube for dilution. The spectrophotometer was then used to measure the 34 Cantaurus absorbance of the undiluted inoculating media at 660 nm. According to previous studies, 1X108 colony forming units in sterile saline has an absorbance of 0.1 at 660 nm (Hume et. al., 2007). By contrast, I measured absorbance values in the nutrient broth. The plates inoculated from the dilution tubes were then examined, and the plate yielding the clearest viable cell count was then utilized to calculate the undiluted concentration of colony forming units. The third 1:10 serial dilution tube was used to inoculate the multi-purpose solutions. The concentration of cells utilized to test the contact lens solutions varied for each of the three isolates due to the difference in growth rates and incubation times amongst the three microorganisms. Single mL aliquots of inoculate were placed in 9 mL of the multi-purpose solutions. The dilution tube was vortexed at least 30 seconds between each successive inoculation. Each of the three isolated strains was tested three times in each of the four multi-purpose solutions. After the manufacturer recommended exposure period, the inoculated multipurpose solutions were vortexed for 30 seconds, and 100 µL of the inoculated disinfecting solution was plated onto nutrient agar. Colony counts were taken after incubation at 37°C for 35.5-42 hours. Table 1. Disinfecting solutions specifications. Polyquad® is the trade name for polyquaternium-1 and Aldox® is the brand name for myristamidopropyl dimethylamine. PHMB is polyhexamethylene biguanide. Dymed® is merely a trade name for polyaminopropylbiguanide. The Exposure time is listed in hours. Expo% sure Solution Company Active Time Ingredient (hrs) Opti-Free Replenish® Alcon Complete® Abott Re-Nu Sensitive® Bausch& Lomb Equate® Wal-Mart 0.001% Polyquad® 0.0005% Aldox® 6 PHMB 0.0001% 6 Dymed® 0.00005% 4 Polyaminopropyl biguanide 0.0001% 4 The one way ANOVA test for variance was utilized to identify any statistically significant difference amongst the plate counts from the four disinfecting solutions for each of the microorganisms tested. SigmaStat®. was utilized to perform the ANOVA test with P<0.05 used to determine significance. For the pairwise multiple comparisions test, the Holm-Sidak method was used to identify which solution interactions differed significantly. RESULTS The initial CFU/mL for the undiluted sample of cocci after 45 hours of incubation at 37°C was determined to be 1.19X108 by serial dilution plate counts. The absorbance of the undiluted cocci was 0.308 at 660 nm. The plate count was relied upon more than the absorbance data because the absorbance varied based upon agar concentration and tube incubation time. More absorbance data would have been required for the construction of a calibration curve to directly associate concentrations of CFU/mL from the plate counts with the absorbances of the initial undilute cultures. Since 1.19X108 CFU/mL was the original concentration by plate count, the disinfecting solutions would have been exposed to 1.19X105 CFU/mL on the third dilution. The cocci was subsequently identified by Molecular Epidemiology, Inc., as being Staphylococcus warneri. For the actual testing of the Gram negative rods, the fourth and fifth serial dilution plates provided an estimate of 1.7X107 CFU/mL for the undiluted sample after 17 hours of incubation. I neglected to record an absorbance for the sample of Gram negative rods at the time of testing; however, a previous culture of the same Gram negative rods had yielded an absorbance of 0.119 at 660 nm after 24 hours of incubation and contained 3.7X107 CFU/mL in the undiluted tube as determined by serial plate counts. Thus there is close agreement between the pilot trial and the actual test. The disinfecting solutions were therefore exposed to 1.7X104 CFU/mL, which was the third dilution of the 1.7X107 CFU/mL undiluted culture. The Gram positive rods had an absorbance of 0.107 at 660 nm and 21 hours of incubation. The original concentration from the serial dilutions plate count was determined to be 3.6 X107 CFU/mL. Thus, the disinfecting solutions were exposed to 3.6X104 CFU/mL. The one way ANOVA failed to detect any significant differences amongst the four disinfecting solutions’ performances against the cocci and the Gram positive rods. The ANOVA did detect a significant difference amongst the four solutions’ performances with the Gram negative rods. The Holm-Sidak test revealed a significant difference between Re-Nu Sensitive® and Complete® as well as for Re-Nu Sensitive® and Opti-Free Replenish®. The level used to determine significance was 0.05 for each statistical test. As previously stated, each strain of microorganism was tested in each of the four multi-purpose disinfect- The Effectiveness of Multi-purpose Disinfecting Solutions – Zodrow ing solutions three times. The direct colony counts after being plated and incubated are displayed below. Table 2. Raw data. In each column with a bacterial test strain label, the exp. denotes the expected CFU/mL after exposure to the solution. The actual CFU/mL as determined from the plate counts is displayed below. The “p” or “f” designation notates whether the solution passed or failed to meet the 3log reduction. Incubation Period 35.5-42 hours for all plates Opti-Free Replenish ® 1 2 3 Complete® 1 2 3 Re-Nu Sensitive® 1 2 3 Equate® 1 2 3 Ocular Cocci Exp. 119 Gram (-) Rods Exp. 17 Gram(+) Rods Exp. 36 10 P 0P 10 P 50 F 0P 70 F 60 F 90 F 0P 0P 20 P 0P 20 F 10 P 10 P 10 P 30 P 100F 10 P 10 P 0P 120F 90 F 210F 80 F 110F 120F 20P 0P 0P 60 F 60 F 90 F 40 F 30 P 40 F DISCUSSION Of considerable notability, the solutions all met the 3log reduction when exposed to the ocular strain of cocci; however, no solution met the 3-log reduction for all three repetitions of the Gram positive and Gram negative rods which were not ocular in origin. The results cannot be interpreted as absolute regarding the comparisons between solutions for each bacterial strain tested. The power of the ANOVA tests was considerably lower for those comparisons which failed to detect any significant difference. The power was only 0.145 whereas the desired power was 0.800 for the evaluation of the differences between solutions when exposed the Gram positive rods. Power of the ANOVA used to evaluate the difference in interactions amongst solutions exposed to cocci was only 0.05 rather than 0.800. However, the power of the ANOVA which detected the significant difference amongst the solutions exposed to the Gram negative rods was 0.915. The Holm-Sidak test re- 35 vealed a significantly greater CFU/mL remaining after exposure to Re-Nu Sensitive® in contrast to CFU/mL remaining after exposure to either Complete® or Opti-Free Replenish®. To further increase the power of the tests and reduce the variability of the results, one should use more repetitions of each solution-strain combination. Accuracy of the initial inoculating concentrations used to test solutions could be further ensured by making replicate serial dilution plates to verify the reproducibility of colony counts. One additional possible source of error in this experiment is the prolonged storage periods in both the incubator and refrigerator. Multiple re-cultures in the laboratory and varying storage conditions can cause the bacterial population to deviate from the original sample; previous studies recommended that no more than five re-cultures should be taken if the subcultures are to remain representative of the original bacterial population. The samples used in solution testing were re-cultured more than five times, and therefore there may be genetic discrepancy between the test culture and the original culture (ATCC, 2010). When considering the results of this experiment, one should note that the methodology of this study differed from the previous experiment conducted by Hume et. al. (2007), because their team used 10 µL of cell culture in 1 mL of disinfecting solution. Hume et. al. previously noted that 10 mL of disinfecting solution is the volume recommended by the ISO rather than 1 mL; therefore the larger test volume was implemented in this study. Also note that this study used longer incubation periods in contrast to previous studies. The extended incubation period was implemented to allow for sufficient time to detect the growth of the slower growing ocular strain. While these results suggest that certain disinfecting solutions may be less effective against the nonocular isolates of bacteria, further testing of clinically isolated bacterial strains of ocular origin is necessary to draw conclusions sufficient to warrant any change in the current disinfection systems. In addition, future experiments could test microorganisms representative of the fungal or protozoal pathogens. One could also evaluate the effects of biofilms and solution interactions since the observations of this study were restricted to the evaluation of microbial behavior in the planktonic form. ACKNOWLEDGEMENTS I wish to thank the faculty of the natural science department. In particular, I give special thanks to Dr. Frye and Dr. Koralegedara for assisting me with the development of the project design, the location of materials, and their assistance in acquiring literary review resources. I also wish to recognize Karissa Ferrell for contribution of the original Gram positive and Gram negative rod isolates. Finally, I wish to acknowledge the doctors and staff of a lo- 36 Cantaurus cal optometric clinic for their advice and support for the topic development and for their assistance in the acquisition of samples. LITERATURE CITED ATCC. 2010. Reference strains: how many passages are too many? technical bulletin no. 6. http://www.atcc.org/CulturesandProducts/Technical Support/ (March, 2011). Boost, M, S Lai, C Ma, and P Cho. 2010. Do multipurpose contact lens disinfecting solutions work effectively against non-FDA/ISO recommended strains of bacteria and fungi? Ophthalmic and Physiological Optics 30:12-19. Flynn, LB, Y Imamura, J Chandra, C Yu, PK Mukherjee, E Pearlman, and MA Ghannoum. 2009. Increased resistance of contact lens-related bacterial biofilms to antimicrobial activity of soft contact lens care solutions. Cornea 28:918-926. Hume, EB, H Zhu, N Cole, C Huynh, S Lam, and MDP Willcox. 2007. Efficacy of contact lens multipurpose solutions against Serratia marcescens. Optometry and Vision Science 84:316-320. Leung, P, MV Boost, and P Cho. 2004. Effect of storage temperatures and time on the efficacy of multipurpose solutions for contact lenses. Ophthalmic and Physiological Optics 24: 218-224. McDonnell, G, and AD Russell.1999. Antiseptics and disinfectants: activity, action, and resistance. www.ncbi.nlm.nih.gov (11 January, 2011). Morgan, PB, N Efron, EA Hill, MK Raynor, MA Whiting, and AB Tullo. 2005. Incidence of keratitis of varying severity among contact lens wearers. British Journal of Ophthalmology 89:430-436. www.bjophthalmol.com (31 March, 2011). Ritterband, DC. 2007. Multi-purpose Contact Lens Solutions and the Risk of Contact Lens Keratitis. Review of Ophthalmology 14:5-6. Schein, OD, JJ McNally, J Katz, RL Chalmers, JM Tielsch, E Alfonso, M Bullimore, D O’Day, and J Shovlin. 2005. The incidence of microbial keratitis among wearers of a 30-day silicone hydrogel extended-wear contact lens. Ophthalmology 112: 2172-2179. Stone, RP. 2007. Understanding corneal barrier integrity: the cornea, the contact lens, and contact lens solutions. Review of Ophthalmology 14: 2-4, 7-15. Yung, MS, M Boost, P Cho, M Yap. 2007. Microbial contamination of contact lenses and lens care accessories of soft contact lens wearers (university students) in Hong Kong. Ophthalmic and Physiological Optics 27:11-21. Cantaurus, Vol. 19, May 2011 McPherson College Division of Science and Technology Research Awards in the Natural Sciences The awards are sponsored by the Natural Sciences of McPherson College and Midwest Oilseeds of Adel, Iowa. The Burkholder Research Award, the highest award, is presented in recognition of outstanding achievement in student research. The Merit Research Award is presented in recognition of achievement in student research. Each student completing a senior research project in the Natural Sciences is a candidate for an award. The Natural Science Faculty select the winners of the awards. Three criteria are used to judge the quality of the research and in selection of student award winners: (1) Selection and planning of a research project; (2) Quality of the research work, including techniques, observations made, and the analysis of data; and (3) Reporting the research, consisting of preparation of the research paper, and a poster or oral presentation to students and faculty. Each student receiving an award will receive a Certificate of Award. Those receiving the Burkholder Award will have their name inscribed on a plaque, and will receive a year membership in the American Association for the Advancement of Science and a subscription to the journal Science. Burkholder Research Award Winners Merit Research Award Winners Ashlee Jost (2010) David Miller (2010) Adam Horinek (2009) Joel Grosbach (2008) Landon Snell (2008) W. Brett Whitenack (2008) Callie Crist (2007) Travis Allen (2006) Joseph Blas (2005) Robert Ullom (2004) Michelle Schulz (2003) Elizabeth Stover (2002) Genelle Wine (2001) Nathan J. McLaughlin (2000) Roy Johnson, Jr. (1999) Kerri Kobbeman (1997) Monica Embers (1995) Heather Hughbanks (1995) Adam Smith (1994) Tyson Burden (1993) Peter Hanson (1992) James Dechand (1990) David Lehman (1988) David Krehbiel (1987) Marla Ullom (1987) Karissa Ferrell (2011) Kelley Green (2011) Ashley Zodrow (2011) Amanda Pangburn (2009) Nicole Sampson (2009) Lezli Warkentin (2009) Alan Grosbach (2008) Rhonda Hoffert (2007) Jamie Rodriguez (2007) Lisa Sader (2006) Eric Vrtiska (2006) David Cockriel (2005) Jenny Harper (2005) Danielle Lucore (2005) Adelina Cripe (2003) Renata L. Lichty (2002) Jonas Lichty (2001) Jeffrey L. McPherson (2000) Jennifer M. Amiot (1999) Janet Bowen (1999) Eric D. Putnam (1999) Anna Katharina Schenk (1999) Cameron Mahler (1998) Rebecca Standafer (1998) Rod Samuelson (1997) Chris Owens (1996) Wes Sechler (1996) Stasi Zirkel (1996) Erik Harmon (1995) Susan Blubaugh (1994) Sherry Coopple (1994) Adeola Grillo (1994) Paula Worley (1994) Robin Morgan (1993) Jody Weddle (1992) Thomas Champion (1991) Shannon Hull (1991) David Maxey (1990) Michelle Roesch (1989) Cynthia Aeschacher (1988) Sandra Ashbaugh (1988) Cassandra Clark (1987) 38 Burkholder Research Award Winners Merit Research Award Winners Marsha Morley (1987) Jay Nicholson (1987) Cantaurus, Vol. 19, May 2011 McPherson College Division of Science and Technology Cumulative Index, Volumes 1-19 Abbey, D. 1997. A Field Scale Evaluation of a Genetically Engineered Corn Hybrid Resistant to European Corn Borer. Cantaurus 5:2-5. Allen, S. 2002. Characterization of Co (Am2 Bcyclam) PF6 . Cantaurus 10:2-6. Allen, T. 2006. Explaining Spatial Variation in Yields in Irrigated Corn. Cantaurus 14:2-14. Aragon, A. 2011. Abdominal Strength vs. Speed in Female College Athletes. Cantaurus 19:2-4. Amiot, J.M. 1999. The Effect of Day Length on the Longevity of Drosophila melanogaster. Cantaurus 7:2-4. Barr, A.B. 1994. Demineralization of Pigs Teeth. Cantaurus 2:2-6. Behnke, A. 2001. The Effects of Sleep Deprivation on Binocular Convergence and Monocular Accomodation. Cantaurus 9:2-4. Berlanga, J.A. 2004. Bacteria Isolated from an MTBE Mineral Medium Culture. Cantaurus 12:2-3. Blas, J. 2005. Expression and Purification of TumorSuppressor Protein Tip30 for Structural Studies by NMR Spectroscopy. Cantaurus 13:2-4. Blubaugh, S.J. 1994. The Effect of Early Feed Restriction on Death Loss, Growth Rate and Final Maximum Body Weight of Broiler Chickens. Cantaurus 2:7-10. Bowen, J. 1999. Develop a Quantitative Analytical Method for Low ( 1 ppm) Levels of Ammonium Sulfate. Cantaurus 7:5-8 Bretz, M. 1996. Changes in fiber content of tallgrass and shortgrass species during maturation. Cantaurus 4:2-4. Burden, T.L. 1993. Immunological Specificity of Classically Conditioned Immuno-enhancement. Cantaurus 1:3-11. Cox, T.D. 2006. Germination of Five Wheat Varieties over a Range of Salinities. Cantaurus 14:15-18. Cripe, A. 2003. McPherson College’s Environmental Impact on Water Use, Energy Use, and Waste Generation/Disposal. Cantaurus 11:5-14. Crist, C. E. Klein, J. Golan, D. Harrison-Findik. 2007. The Interaction of Alcohol and Iron-Overload in the invivo Regulation of Iron Responsive Genes. Cantaurus 15:2-6. DeMoss, C.L. 1994. The Decomposition of Chlorinated Hydrocarbons in Aqueous Solution by Ultrasonic Irradiation. Cantaurus 2:16-20. Dennis, J.W. 1999. The Effect of Echinacea purpurea on Stimulating IgM (Primary) and IgG (Secondary) Immune Responses in Male CD1 Mice. Cantaurus 7:9-11. Ducy, M. 2010. The Effect of Low-Carbohydrate Intake and Exercise on the Rate of Weight Gain and Blood Glucose Fluctuation in Female Mice. Cantaurus 18:27. Embers, M.E. 1995. The Effect of Vitamin E on Splenic and Hepatic Natural Killer (NK) Cell Activity in the Rat. Cantaurus 3:2-6. Embers, M.E. 1996. Current Findings and Developments in AIDS Research: A Review. Cantaurus 4:5-7. Engquist, L.D. 2007. Tracking Patient Habits: Gender Age, Financial State, and Health Education. Cantaurus 15:7-10. Epps, M.E. 1996. The effect of soil nutrient status on the resorption efficiency of nitrogen and phosphorus from leaves of green ash, Fraxinus pennsylvanica. Cantaurus 4:8-10. Feasenhiser, D. 2005. The Effects of Organic Selenium on Rumen Volatile Fatty Acid Production in Continuous Culture. Cantaurus 13:10-13. Cantrell, M.D. 1993. Studies of Sonochemically Enhanced Grignard Reactions. Cantaurus 1:18-22. Ferrell, K. 2011. What is the Prevalence of MRSA in a Health Care Setting Compared to a Community Setting?. Cantaurus 19:5-10. Cockriel, D. The Design and Synthesis of Pyrazine Ligands Suitable for Molecular Weaving with Octahedral Metal Ions. Cantaurus 13:5-9. Fisher, H. 2007. Benzo(a)pyrene Induced Mutagenesis of Saccharomyces cerevisiae. Cantaurus 15:11-13. Coleman, C. 2003. What are the Effects of No-till Farming on Soil Moisture and Soil Temperature Compared to Conventional Tillage in Rice County Kansas? Cantaurus 11:2-4. Fisher, J.D. 2001. Evaluation of the Farm Credit Quick Loan Analysis as a Valid Scorecard for Small Business Loans Between $100,000 and $250,000. Cantaurus 9:5-8. Consaul, D.J. 2004. The Effects of Kickoff and Compost on Yield and Economic Value of Double Crop Potatoes. Cantaurus 12:4-6. Freeman, H. 1997. The Difference Between Heat and CO2 Measurements of Metabolic Rates in Mice. Cantaurus 5:6-8. Coopple, S. 1994. PCR Analysis of Small Indian Mongoose Mitochondrial DNA. Cantaurus 2:11-15. Friesen, M. 1999. A Comparative Analysis of Flue Gas Desulfurization Byproducts to Limestone in an Increase in the Soil pH. Cantaurus 7:12-14. 40 Cantaurus Froese, A. 2011. Isolation, Characterization, Quantitation of Isoxanthopterin from Drosophila Melangolaster strains Wild Type and White Apricot. Cantaurus 19:11-14. Gallo, S. 2001. The Effects of Wastewater Treatment Sludge on the Decomposition of Yard Waste. Cantaurus 9:9-11. Determine Nanoparticle Protection of Complexed dsDNA. Cantaurus 15:14-16. Herrera, A.K. 2000. The Effects of Slow and Fast Velocity Training on Vertical Jump Using the Dynamic Force Monitor. Cantaurus 8:2-5. Hiebert, L.M. 1996. The visible effects that laundering has on dyed cotton when a non-formaldehyde based resin finish has been applied. Cantaurus 4:11-13. Gesch, P. 1994. Comparisons of Myofibrillar Protein Using Gel Electrophoresis in Mouse Skeletal Muscle. Cantaurus 2:21-24. Hoffert, R. 2007. Hershey Diamond Synthesis: an Attempt at Verifying Methods. Cantaurus 15:17-20. Ghaffarian, A. 2008. Aerobic Methane Production of Tropical Plants. Cantaurus 16:2-5. Hoffert, W. 2003. Synthesis and Characterization of a 3+ Chloro - Hydroxo Chromium Complex of CrossBridged Cyclam. Cantaurus 11:15-19. Good, S.J. 2002. Operation and Methods Development for the Varian Saturn 2100D GC/MS. Cantaurus 10:7-13. Green, K. 2011. What is the Prevalence of MRSA in an Elementary School Setting Compared to a Hospital Setting? Cantaurus 19:15-18. Hoffman, D. 2005. Human Performance Assessment Using the DYFORMON Exercise System. Cantaurus 13:18-22. Holderreed, M. 1993. Attenuation of the Immunosuppressive and Adrenal Responses to Noise Stress in Rats. Cantaurus 1:23-31. Griggs, M.M. 2010. The Comparison of Bacteria Populations under Artificial and Natural Nails, and the Effect of Hand Cleansing with Alcohol-Based Gels and Antibacterial Soap. Cantaurus 18:8-11. Hooton, S. 1999. The Effect of Different Concentrations of Gingko biloba on the Memory of a Maze in Mice. Cantaurus 7:19-22. Grillo, A.O. 1994. Effect of Short-term Sulfur dioxide Fumigation on Photosynthesis in Sunflower and Wheat. Cantaurus 2:25-28. Horinek, A. 2009. Antibiotic Resistance to Oxytetracycline HCL in Kansas Department of Wildlife Fish Hatchery of Pratt, KS. Cantaurus 17:2-4. Grillo, I.A. 2002. The Synthesis and Characterization of Co(Am2Bcyclam)PF6 A model for new MRI Contrast Agents. Cantaurus 10:14-19. House, J.A. 1998. Adaptation of Pseudomonas aeruginosa in Kansas oil fields for use in tertiary oil recovery. Cantaurus 6:2-4. Grosbach, A. 2008. The Effect of a Nutritional Supplement on Stillbirths in Swine. Cantaurus 16:6-8. Huen. J. 1997. The Effects of Vitamin E on the Longevity of Drosophila melanogaster. Cantaurus 5:9-11. Grosbach, J. 2008. The Effect of Row Spacing on the Yield and Plant Growth of Popcorn (Zea mays). Cantaurus 16:9-12. Hughbanks, H.L. 1995. The Effects of Ovariectomy and Supplemental Estrogen Therapy on the Growth and Development of Prepubescent Rats. Cantaurus 3:11-16. Hlad, Z. 2011. Quantitative Survey of Zebra Mussels (Dressna polymorpha) Within Wilson Lake and Kanopolis Lake. Cantaurus 19:16-19. Hamud-Socoro, A.A. 2004. Pseudomonas aeruginosa Resistance to Tetracycline and Triclosan. Cantaurus 12:7-9. Hamud-Socoro, M.A. 2002. Is There a Difference in Hemoglobin Concentration Between Male and Female Horses? Cantaurus 10:20-22. Hargitt, R. 2001. The Nitrate Contamination of Private Well Water in Rural Northwest Kansas. Cantaurus 9:12-17. Jandreau, D. 2011. A Comparison of the Prevalence of Tinea pedis in Morrison and Bittinger Shower Drains of McPherson College. Cantaurus 19:20-22. Johnson, B. 1998. The development of the Function Generator and the Digital Multi-Meter to be used with LabVIEW. Cantaurus 6:5-7. Johnson, R.J. Jr. 1999. Survey of Plasmid Transfer Containing Ampicillin Resistant Gene between Escherichia coli pGFPuv and Enterobacter aerogenes Intestinal Flora Varying Wastewater Treatment Plant Water Quality Standards. Cantaurus 7:23-27. Harmon, E. 1995. Self-incompatibility in Rapid Cycling Brassica rapa. Cantaurus 3:7-10. Jones, B.F. 2003. How Sewage Foam Affects Grass Growth Compared To UAN Fertilizer Or No Fertilizer. Cantaurus 11:20-22. Harper, J. 2005. Influence of Lactose Utilization and Population Dynamics of Escherichia coli var. mutabilis. Cantaurus 13:14-17. Jost, A. 2010. What is the Prevalence of MRSA Carriers in the McPherson College Student Population? Cantaurus 18:12-15. Harris, D. 1999. The Effects of Bacteria in Different Soils of Artificial Wetlands on Certain Contaminants. Cantaurus 7:15-18 King, B. 2010. McPherson College’s Comprehensive Carbon Footprint and a List of Ways to Reduce our Environmental Impact. Cantaurus 18:16-20. Herber, M.W. 2007. Development of a Novel Assay to Kinzie, R.W. 1994. The Role of the Tail in the Cantaurus Thermoregulation of the Mongolian Gerbil, Meriones ungulatis. Cantaurus 2:29-32. Kobbeman, K. 1997. The Effects of Mycorrhizal Suppression on Tallgrass Prairie Forbs. Cantaurus 5:12-17. Koster, C. 1999. Force Analysis of Individuals and Calibration of the Dynamic Force Monitor Prototype. Cantaurus 7:28-30. Kramer, C. 2010. Evaluation of Decay and Microbial Growth in the Ictalarus punctatus (Channel Catfish). Cantaurus 18:21-25. Kunz, C. 1997. Bayesian Inversion of Gamma Spectra. Cantaurus 5:18-27 Laska, N. 2009. Aerobic Methane Production from a Red Oak Tree Leaf. Cantauarus 17:5-7. Lange, C. 2011. What is the Distribution of Lung Capacity Amongst McPherson College Students. Cantaurus 19:23-25. Levinski, L.J. 2001. Assessing the Scientific Evidence of Increasing Global Temperature: A Review of the Literature. Cantaurus 9:18-22. Lichty, J. 2001. The Synthesis and Characterization of Co(AcBcyclam)PF6. Cantaurus 9:23-26. Lichty, R.L. 2002. The Effect of Natural Selection on the Resistance of Escherichia coli to Triclosan. Cantaurus 10:23-25. Lloyd, L. 1996. A preliminary chemical investigation into the heritability of the metabolic pathway for the cardiac glycoside cymarin within the Family Apocynaceae. Cantaurus 4:14-16. Loar, S. 1995. The Effects of Electrical Stimulation on Individuals with Cerebral Palsy or Spina Bifida. Cantaurus 3:17-20. 17:11-13. McEndree, A. 2010. What is the Effect of Weight Training on Leg Strength and Speed in College Athletes? Cantaurus 18:26-29. McGowan, S. 1997. The Effect of Hydrocarbons on the Growth and Germination Patterns of the Plant Brassica rapa. Cantaurus 5:31-35. McGoyne, M. 1999. Effects of Exercise on the Respiration Rate of Mice. Cantaurus 7:31-33. McLaughlin, N.J. 2000. The Effects of Digoxin on the Recovery Rate of the Heart after Exercise in Mice. Cantaurus 8:6-11. McPherson, J.L. 2000. The Effect of Diethylstilbestrol on p53 Expression in Liver and Neural Tissue of the Female Hamster (Mesocricetus auratus). Cantaurus 8:12-16. Miller, D. 2010. Testing the Methods of Dr. Willard Hershey in Historic Diamond Synthesis. Cantaurus 18: 30-33. Miller, E. 2006. Population Growth and Lag Time Assent in Lactose Induced Eschericia coli Strains. Cantaurus 14:24-26. Monte, L.E. 2004. Identification of Polycyclic Aromatic Hydrocarbon Anthracene in Beach Sand Extracted from Matagorda Island. Cantaurus 12:10-12. Morgan, R. 1993. Comparisons of Home Range Estimating Techniques for the Cotton Rat (Sigmodon hispidus): Fluorescent Tracking vs. Live Trapping. Cantaurus 1:12-17. Norman, W. 1999. The Effects of Varying pH on Plasmid Transfer from Escherichia coli to Enterobacter aerogenes. Cantaurus 7:34-35. Norsworthy, C.B. 2000. The Effects of Selenium on the Death Rate of Brine Shrimp. Cantaurus 8:17-19. Lucore, B. 2003. Characterization of CD25+ T regulatory cells in Systemic Lupus Erythematosus. Cantaurus 11:23-26. Osterloh, M. 2004. Transfer of Antibiotic Resistant Genes between Escherichia coli and Salmonella typhimurum. Cantaurus 12:13-14. Lucore, D. 2005. The Mutagenesis of Benzo(a)pyrene on Yeast. Cantaurus 13:23-26. Owens, C. 1996. Action of nitrate on the fathead minnow, Pimephales promelas, in stillwater. Cantaurus 4:17-20. Luter, J.B.M. 2009. The Effects of Flood Irrigation on Groundwater E. coli/coliform Contamination. Cantaurus 17:8-10. Mahler, C.W. 1998. Effects on nodulation and early growth of soybeans grown in sewage sludgeamended soil of McPherson. Cantaurus 6:8-10. Makings, E. 1997. Factors Influencing Meadowlark Nest Site Selection. Cantaurus 5:28-30. May, C.M. 2002. Synthesis and characterization of Cu(1,1,3,6,6,8-Hexamethyl-decahydro-3a,5a,8a,10atetra-azapyrene)Cl2. Cantaurus 10:26-30. May, R. 2006. Observation and Characterization of Fullerenes in Soot Generated during Reproduction of Historical Diamond Synthesis. Cantaurus 14:19-23. McCrae, S.B. 2009. Nutrient Composition of Livestock Feed and Its Impact on Farm Productivity. Cantaurus 41 Pangburn, A. 2010. Sulfate in Wet Distiller’s Grain from the Kansas Ethanol, L.L.C., Plant. Cantaurus 18:3436. Parsell, T. 2003. Synthesis and Characterization of 4, 11-dimethyl-1, 4, 8, 11, tetraazabicyclo hexadecane Chromium. Cantaurus 11:27-30. Paull, A. 2008. The Effects of Atmospheric Contact on the Rate of Acetylene Breakdown in Azotobacter chroococcum. Cantaurus 16:15-17. Phillips, T.S. 1998. Effect of microorganisms and nitrogen on the allelopathy of sorghum residues and the germination of wheat seeds. Cantaurus 6:11-13. Poland, S. 2010. Population Growth and Its Effects on Water Demand in Arvada, Colorado. Cantaurus 18:37-41. 42 Cantaurus Prose, P. 2000. The Hamster’s Progesterone Receptor Levels According to the Menstrual Cycle. Cantaurus 8:20-22. Putnam, E.D. 1999. Groundwater Analysis of Triazine Herbicide Using Solid Phase Extraction and High Pressure Liquid Chromatography. Cantaurus 7:36-37. Reichert, E.C. 2000. The Effect of Different Concentrations of Gingko biloba on the Memory of a Maze in Mice. Cantaurus 8:23-24. Rodriguez, J. 2007. Aerobic Methane Production by Banana Plant. Cantaurus 15:21-23. Rodriguez, N. 2010. The Effects of Unilateral and Bilateral Lifting Techniques on Unilateral and Bilateral Strength in Untrained Women. Cantaurus 18:42-44. Sader, L. 2006. Isolation and Identification of an Electricity Producing Microorganism from the Quivira National Wildlife Refuge. Cantaurus 14:27-30. Saffer, E. 1995. Physical Therapy in McPherson County Schools. Cantaurus 3:21-28. Saffer, K. 1995. The Effect of Marine Phytoplankton on Global Warming: a Modelling Approach. Cantaurus 3:29-35 Saffer, M. 1995. Acupuncture and Massage Therapy: their Characteristics, Hypothetical Explanations, and Applications to Physical Therapy Cantaurus 3:36-39. Sampson, N. 2010. The Cation-Exchange Capacity of Crete Silt Loam Soil Compared to Charcoal. Cantaurus 18:45-49. Samuelson, R. 1997. Heterotrophic Dominance Observed Among the Micro-organisms Of the Schermerhorn Park Cave In Cherokee County, Kansas. Cantaurus 5:36-40. Schenk, A.K. 1999. The Effects of Various Carbon Dioxide Concentrations on Lemna minor. Cantaurus 7:38-40. Schoen, A.R. 2007. Carbon Fiber Electrode as an Electron Acceptor for a Microbial Fuel Cell using Geobacter. Cantaurus 15:24-26. Schropp, J. 2007. Comparison of Effort for HighVelocity and Low-Velocity Bench Press. Cantaurus 15:27-29. Schulz, M.L. 2003. The effects of cover crops in no-till systems on microbial activity. Cantaurus 11:31-36. Sechler, W. 1996. Determination of magnesium levels in rat myocardium after administration of epinephrine. Cantaurus 4:21-24. Showalter, J. 2001. The Effects of Nitrogen on Yield and Nutrient Composition of Alfalfa. Cantaurus 9:2728. Simon, J.C. 2009. The Effects of Temperature Increase and Presence of Light on Methane Production and Emission of Alocasia x amazonica. Cantaurus 17:14-16. Smith, A.B. 1994. Agricultural Disturbances and Small Mammal Communities: Peromyscus maniculatis versus Sigmodon hispidus. Cantaurus 2:33-39. Snell, C. 2010. The Effects of Temperature on the Rate of Conjugation in Escherichia coli. Cantaurus 18:50-52. Snell, L. 2008. Isolation and Identification of Antibiotic Resistant Bacteria from the Intestinal Flora of Feedlot Cattle and a Measure of Their Efficacy for Lateral Gene Transfer. Cantaurus 16:18-20. Snell, T. 2005. Synthesis and Characterization of Cross-bridged AMD 3100 Analog. Cantaurus 13:2731. Spillum, T. 1997. Detection and Concentration of Gasoline and Diesel 1 Hazardous Air Pollutants in Some Typical Refining Products. Cantaurus 5:41-42. Standafer, R.L. 1998. The effects of elevated carbon dioxide concentrations on the stomata of Spartina patens and Scirpus olneyi. Cantaurus 6:14-16. Stine, M.E. 1994. The Effects of Soybean Development with EMS Treatment. Cantaurus 2:4042. Stover, E. 2002. In vitro cytotoxicity of the epothilone analog, BMS 247550, in pediatric malignancies. Cantaurus 10:31-37. Sturgeon, L. 1994. Conditioning Coenobita clypetus to Retain Information. Cantaurus 2:43-47. Thode, B.R. 1999. The Effects of Human Presence on the Texas Tortoise (Gopherus berlandieri) in Southern Texas and Northern Mexico. Cantaurus 7:41-43. Torrison, L. 1999. The Effect of Microwave Radiation on Polypropylene Used in Food Containers. Cantaurus 7:44-46. Turner, T. 2011. Comparison of Coping Self-Efficacy Levels Between Freshman and Seniors at Scott Community High School. Cantaurus 19:26-28. Ullom, R. 2004. Linked Cross-Bridged Cyclams as Anti-HIV Agents. Cantaurus 12:15-19. Viehman, E. 2009. The Effect of Temperature on Aerobic Methane Production by the Fiddle Leaf Fig and the Norfolk Island Pine. Cantaurus 17:17-19. Vrtiska, E. 2006. Multi-Subject Assessment of Human Performance Using the DYFORMON. Cantaurus 14:31-34. Vrtiska, M. 2003. The Effects of CRP on Earthworm Populations. Cantaurus 11:37-40. Ware, S. 1997. The Effects of NaCl on the Germination of Brassica rapa and Atriplex patula. Cantaurus 5:4346. Warkentin, L. 2009. The Effects of Amikacin, Doxycycline, Erythromycin, Penicillin, and Sulfamethoxazole with Trimethoprim on Tylosin Resistant E. coli. Cantaurus 17:20-23. Wenzel, R. 1998. Atrazine runoff from corn fields using high pressure liquid chromatography and solid phase extraction. Cantaurus 6:17-19. Westbrook, C. 2010. The Effects of Yoga on Muscular Endurance in McPherson College Athletes. Cantaurus Cantaurus 18:53-55. Whitenack, W.B. 2008. The Use Of Electrolytic Reduction For The Removal Of Chlorides From IronNickel Meteorites. Cantaurus 16:21-27. Williams, W. 2010. Effects of Altitude Acclimatization on Cardiorespiratory Fitness in McPherson College’s Women Soccer Players. Cantaurus 18:56-59. Wilson, A.J. 2000. The Selenium Levels in Nonirrigated and Irrigated Fields in North Central Kansas. Cantaurus 8:25-26. Wine, G. 2001. The Effects of Apis mellifica on Type I Hypersensitivity in Mice. Cantaurus 9:29-32. Woody, A. 2008. The Effects of Yoga Conditioning for Athletes on Cardiorespiratory Endurance. Cantaurus 16:28-31. Worley, P. 1994. Psychosocial Environment Change and its Effect on the Immune Response of Mice. Cantaurus 2:48-51. Zirkel, S. 1996. Immunosuppression in mice consuming elevated levels of dietary saturated fat. Cantaurus 4:25-28. Zitnik, J. 1999. Bayesian Inversion of Simply Modeled Magnetic Anomaly Data. Cantaurus 7:52-55. Zodrow, A. 2011. The Effectiveness of Multi-Purpose Solutions Against Clinically Isolated Micro-organisms. Cantaurus 19:29-33. 43