Download Most Probable Number Method

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Human microbiota wikipedia , lookup

Bacteria wikipedia , lookup

Virus quantification wikipedia , lookup

Bacterial cell structure wikipedia , lookup

Disinfectant wikipedia , lookup

Phospholipid-derived fatty acids wikipedia , lookup

Marine microorganism wikipedia , lookup

Triclocarban wikipedia , lookup

Magnetotactic bacteria wikipedia , lookup

Bacterial morphological plasticity wikipedia , lookup

Community fingerprinting wikipedia , lookup

Transcript
Lab 8:
Most Probable Number
Method (MPN)
Most Probable Number Method (MPN)
Objective
• What is the MPN method?
• How to determine the amount of
bacteria from the MPN method?
Most Probable Number Method (MPN)
 The most probable number (MPN) method is familiar to quality
control (QC) microbiologists as part of the microbial limits tests.
• Its usefulness goes far beyond this one test, however.
• The theory behind the MPN method is central to the commonly
used D-value determination by fraction-negative method, and a
variant of this method has been suggested for trending of
environmental monitoring data from the aseptic core.
• MPN can be adjusted to provide a sensitive method
to determine differences between two qualitative
microbiological methods. As such, it can be used as
a tool in validation of rapid microbiological methods
and for growth promotion testing of broth media.
Most Probable Number Method (MPN)
 The most probable number (MPN) is particularly useful for low
concentrations of organisms (<100/g), especially in milk and
water, and for those foods whose particulate matter may
interfere with accurate colony counts.
 Only viable organisms are enumerated by the MPN
determination.
 If, in the microbiologist's experience, the bacteria in
the prepared sample in question can be found attached
in chains that are not separated by the preparation and
dilution, the MPN should be judged as an estimate of
growth units (GUs) or colony-forming units (CFUs)
instead of individual bacteria.
Most Probable Number Method (MPN)
For simplicity, however, here we will speak of
these GUs or CFUs as individual bacteria.
The following assumptions are necessary to
support the MPN method.
The sample is prepared in such a way that the
bacteria are distributed randomly within it.
The bacteria are separate, not clustered
together, and they do not repel each other.
 The growth medium and conditions of incubation have been
chosen so that every inoculum that contains even one viable
organism will produce detectable growth.
 The essence of the MPN method is the dilution of a sample to
such a degree that inoculate will sometimes but not always
contain viable organisms.
 The "outcome", i.e., the numbers of inoculate producing
growth at each dilution, will imply an estimate of the
original, undiluted concentration of bacteria in the sample.
 In order to obtain estimates over a broad range of
possible concentrations, microbiologists use serial
dilutions, incubating several tubes (or plates, etc.) at
each dilution.
Confidence Intervals
 The 95 percent confidence intervals in the tables have the
following meaning.
 Before the tubes are inoculated, the chance is at least 95
percent that the confidence interval associated with the
eventual result will enclose the actual concentration.
Most Probable Number
Advantages
 Relatively simple and
sensitive
 Can count a specific
type in the presence of
others
 Can use large sample
volumes
Disadvantages
 Time consuming and
labor intensive
 Requires large
volumes of glassware
 Doesn’t give the “real”
value
 Doesn’t give isolated
colonies
SUMMARY
 The basic concept for the MPN method is to dilute the sample to
such a degree that inocula in the tubes will sometimes (but not
always) contain viable organisms.
 By replicates, and dilution series, this will result in a fairly accurate
estimate of the most probable number of cells in the sample.
 While this method is most commonly used in the personal
products, medical device, and pharmaceutical QC microbiology
labs for water testing , it has significant potential for other
applications.
END OF LECTURE