Open AccessRSM based Process Modeling and Optimization for Amylase Enzyme Production and its Desizing Potential
Author(s) -
K. Rajan,
Sundramurthy Venkatesa Prabhu*,
Bahiru Melese Belew,
Eshetu Solomon,
Sebele Work Mekonen
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f4149.059720
Subject(s) - dyeing , amylase , pulp and paper industry , textile , response surface methodology , textile industry , process (computing) , starch , computer science , process engineering , materials science , food science , engineering , enzyme , chemistry , composite material , biochemistry , archaeology , machine learning , history , operating system
Enzyme technology is extensively touted as the way of the destiny for textile processing industry. Enzymes can be used safely in a wide selection of textile processes such as de-sizing, scouring, bleaching, dyeing, and finishing in textile processing. Recently, amylase enzyme is getting more important in textile industry for removal of starch. Amylase can be successfully applied at early pre-treatment stages, making a sturdy basis for the good finishing of fabrics. The present study was focused to isolate amylase producing bacteria and optimize the growth condition for maximizing amylase production using agro-industrial residues. In addition, immense important for RSM based optimization for the process parameters, pH, temperature, and agitation speed also given. Further, this study concentrated for determination of desizing potency of Denim by the amylase that produced at optimized condition.