BIOCHEMICAL CHARACTERIZATION OF PROTEASE FROM ZINGIBER OFFICINALE RHIZOME BY USING NEURAL NETWORKING APPROACH
AbstractBiochemical characterization of enzyme is the most fundamental aspects of enzymology from industrial point, as it is desirable to choose an enzyme which will have the fastest reaction rate per unit amount of enzyme which indicates the maximum effect for the minimum amount of added catalyst. In this study, Protease enzyme was extracted from Z. officinale and purified by using various down streaming techniques up to apparent homogeneity from which a model has been generated based on mathematical modelling. Neural networking approach has been applied to optimize the incubation time, pH stability, temperature stability, initial substrate concentration and initial enzyme concentration on casein hydrolysis. The purified protease from Z. officinale is thermo stable and appears to be a promising candidate in applications on various industrial sectors.
Article Information
40
5276-5281
442
1078
English
IJPSR
N. Jabalia*, Kanagarethinam, P. C. Mishra and N. Chaudhary
Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India.
njabalia@amity.edu
12 April, 2017
16 June, 2017
29 June, 2017
10.13040/IJPSR.0975-8232.8(12).5276-81
01 December, 2017
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