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• W4285294034 abstract "Fermentation medium optimization plays a critical role in enhancing the production yields of the industrially important enzyme. Optimization for enhanced production of enzyme depends upon medium components like carbon source, nitrogen sources, pH, temperature, agitation, and incubation time. The optimization of the fermentation medium by one factor at a time (OFAT) is not only a time-consuming process but also may lead to inaccurate results and conclusions. This classical method of optimization is unable to detect the interaction between two factors responsible for enhanced enzyme production. Response surface methodology (RSM) is an alternate statistical strategy to improve enzyme yield by designing minimum number of experiments for large number of factors. RSM explains the combined effects of all the independent variables in a fermentation process and explores an approximate interaction between a response variable and a set of design independent variables. This chapter discusses enhanced xylanase production by using statistical designs. The statistical-based approach has shown satisfactory results for optimization of xylanase production using fungal and bacterial strains with the minimum number of experimental sets." @default.
• W4285294034 created "2022-07-14" @default.
• W4285294034 creator A5061080648 @default.
• W4285294034 date "2022-01-01" @default.
• W4285294034 modified "2023-09-27" @default.
• W4285294034 title "Enhanced xylanase production by using statistical designs" @default.
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• W4285294034 doi "https://doi.org/10.1016/b978-0-323-99636-5.00009-9" @default.
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