Title: Statistical Optimization of Medium Composition for Xylanase Production by Solid State Fermentation Using Agroresidues
Abstract: Two stage statistical designs were used to optimize xylanase production from a newly isolate Bacillus licheniformis under solid state fermentation. Plackett burmann and central composite design in response surface methodology were used to build statistical models to screen out the significant variables and then study the effect of three significant variables on xylanase production. Twelve variables screened initially with Plackett burmann design were substrate concentration, glucose, ammonium sulphate, KH2PO4, K2HPO4, FeSO4, MgSO4, MnSO4, yeast extract peptone, CaCl2 & NaCl. Further three variables ammonium sulphate, glucose and peptone were selected via central composite design for xylanase production. The maximum xylanase production after optimization was increased 2.38 fold yield over conventional strategy. For glucose, ammonium sulphate and peptone were significantly showing that these were the most significant factors affecting the enzyme production. 99% of total variation was explained by the model elaborated. The determination coefficient (R2) as shown by analysis of variance(ANOVA) was 0.9974 showing adequate credibility of the model. The properties of the isolated enzyme are adequate for its use industries as pulp and paper industry, textile industry, food processing & wine industry.
Publication Year: 2015
Publication Date: 2015-01-23
Language: en
Type: article
Access and Citation
Cited By Count: 4
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot