Singh et al.
Ammonium chloride and Ammonium sulphate), 1% organic nitrogen sources
(peptone, tryptone, yeast extract, soybean meal) and phosphate (KH2PO4)
concentration (0.01M, 0.02M, 0.03M and 0.04 M) and optimized for production
of alpha amylase.
Results and Discussion
Evaluation of various agrobyproducts for the production of α- amylase by Bacillus
licheniformis under solid state fermentation
In SSF, the selection of a suitable solid substrate for a fermentation process is
a critical factor and thus involves the screening of a number of agro-industrial
materials for microbial growth and product formation. Fifteen agrobased substrates
namely wheat flour, Moong husk, barley flour, corn flour, gram flour, Arhar husk,
Mustard oil cake, coconut oil cake, rice bran, wheat bran, potato peel, sweet
potato peel, banana peel, sugarcane baggase, soybean husk were screened for
alpha amylase production with reference strain Bacillus licheniformis MTCC 429
All the substrates supported the growth of Bacillus licheniformis and the enzyme
formation by the culture, while wheat bran proved superior to the other substrates
under Triton X- 100 extracting medium.A high titer of amylase (154.17 U/ml) was
obtained in a medium containing wheat bran alone as the substrate. The suitability
of other substrates for amylase production were as follows; sugarcane baggase
(148.73U/ml), banana peels (152.47U/ml) and sweet potato peel(149.77U/ml) in
Tween 80 medium (Table 1; Figure 1).
Table 1: Production of α- amylase by Bacillus licheniformis on various agro- substrate
under SSF
Enzyme activity(IU/ml/min)
S.No
Substrate
Distilled Phosphate
Triton
Tween 80
water
Buffer
X-100
1.
Wheat flour
100.10
108.63
103.70
104.56
2.
Moong husk
65.89
64.90
61.40
66.10
3.
Barley flour
76.88
90.34
97.70
98.40
4.
Corn flour
79.12
61.27
76.86
84.78
5.
Gram flour
97.86
71.90
66.70
59.25
6.
Arhar husk
34.13
36.78
32.22
34.67
7.
Mustard oil cake
30.52
41.68
69.80
51.27
8.
Coconut oil cake
38.91
62.80
65.89
64.90
9.
Rice bran
72.76
129.45
139.66
117.34
206
International Journal of Bioinformatics and Biological Sciences : v.2 n.3&4. Dec. 2014