Download Priliminary results

Lab Presentation
Preliminary Results
Mythreyi Chandoor
June 12th ,2009
Lignin
p-coumaryl
coniferyl-
sinapyl- (III) alcohols
Solid State Carbon-13
Nuclear Magnetic Resonance Spectroscopy
Control sample
Control Versus Four Weeks.
Control Versus Eight Weeks
Control versus Twelve Weeks
Overlay of all the Time intevals
3500
3000
Biodegradation
2500
2000
1750
1500
1250
1000
0.005
4000
FTIR
3500
0.015
1031.92
3000
3000
2500
2500
2000
2000
1750
1500
1750
1250
0
0.01
1500
1000
1250
792.74
0.025
3500
1267.23
1224.80
4000
FTIR
1512.19
0.005
1647.21
1625.99
798.53
1265.30
1512.19
1460.11
1425.40
Abs
1546.91
0.025
3408.22
3388.93
3348.42
3331.07
0.01
1460.11
1425.40
0.01
3996.51
1039.63
3998.44
Abs
1647.21
1259.52
1159.22
1510.26
1732.08
2920.23
0.025
3892.35
3869.20
3859.56
3840.27
3738.05
0.005
3358.07
1033.85
FTIR
0.02
0.015
0.02
0
750
1/cm
0.02
Abs
0.015
1/cm
0
-0.005
1000
750
1/cm
FTIR
wheat
Wood
Biomass
Four Weeks
8 weeks
12 weeks
A 3430
0.010194
0.002243
0.002231
0.006792
0.001655
0.2185
A1370
0.000797
0.00192
0.001006
0.010609
0.000639
0.010579
A1165
0.007221
0.002876
0.002087
0.0175
0.009712
0.26779
A1043
0.046237
0.032220
0.026448
0.0475
0.026851
0.0334
A1510
0.0053
0.004679
0.001913
0.009116
0.003959
0.0157
A2890
0.0123
0.002084
0.001621
0.00412
0.000232
0.01547
A1460
0.001995
0.001564
0.000906
0.009162
0.001599
0.012811
A1420
0.00171
0.001682
0.000521
0.010127
0.001323
0.01368
A1720
0.0095
0.001916
0.001055
0.004775
0.00196
0.009149
FTIR
wheat
Wood
Biomass
Four Weeks
8 weeks
12 weeks
A1600
0.0029
0.00105
0.001279
0.007021
0.001079
0.011057
A844
0.0057
0.000717
0.000068
0.008834
0.000194
0.22955
A2936
0.0121
0.002375
0.001652
0.004980
0.000763
0.015227
A1330
0.00147
0.000447
0.000229
0.010201
0.000448
0.0352
A1269
0.0027
0.004532
0.003650
0.014654
0.002325
0.012736
Functional analysis
CONTROL
4 WEEKS
8 WEEKS
12 WEEKS
Mean value of OH
Groups
16.608
9.0499
10.25
21.25
Mean value of
Phenolic OH groups
0.525
1.16
O.16
0.67
Mean value of OCH3 GROUPS
1.59
2.56
0.796
2.672
Method of Determination.
• % Total Solids (T final) = ( w2 –w / w1)* 100
W = Dry dish weight ,g
W1 = Initial sample weight ,g
W2 = Sample weight plus dish weight after drying , g.
• % of ash content = (w2 – w/ w1) * 100
W= Ignited dish weight ,g
W1 = Initial moisture- free sample weight ,g
W2 = sample weight plus dish weight after removal from furnace.
Composition Analysis
• Determination of Total solids
• Determination of Ash content
• Determination of Lignin
Determination of Lignin
• % Acid –Insoluble Lignin =
[(w2 – w3) / w1 *( T final / 100% )] * 100
W1 = Initial weight of the sample
W2 = Weight of the crucible, acid soluble lignin and acid
insoluble lignin after drying in the oven
W3 = weight of crucible and acid –insoluble ash after removal
from furnace
T final = % total solids content of shredded sample on a 105 0 C
dry weight basis.
Determination of Lignin
• %Acid –Soluble lignin =
[[(A/ b*a) * df * v/1000ml ] /[ (w * T final) /100] ] * 100
A = Absorbance
Df = Dilution factor
b = cell path ,1 cm
a = absorptivity ,equal to 110 L/g-cm
V = filtrate volume
W = Initial Biomass sample weight
T final = % total solids content of Biomass sample.
Hypothesis
Based on the Microscopy results ,The presence of fungal mycelia can be found .Based on the
analytical techniques for the analysis of the sugars in the cell wall of the wheat straw and pine
wood we can analyze the change in the structure of lignin in the twelve week compounds.
when compared to the Control samples.
The further analysis of the results of different analytical methods such as FTIR and Solid state
NMR ,GC –MS Pyrolysis and HPLC would basically give us information about the different
kinds of compounds formed at different intervals of time and thus we can get an rough idea of
how and where the bond breakage is occurring in the lignin structure.
Though the natural system is a slow process , the Study of the Soil degradation mechanism at
210 c provides an a very important data which would be useful in determination of the
deconstruction of lignin in the cell wall as this is occurring at extreme conditions and thus
degradation mechanism would be the most convenient way and feasible approach when
conditions are optimized .