2011
DOI: 10.9755/ejfa.v23i1.5311
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Optimization of amylase production from Bacillus sp. using statistics<br>based experimental design

Abstract: Production of amylase under submerged fermentation Bacillus sp. was investigated using wheat bran, soybean meal and CaCO 3 (WSC) medium. Response surface methodology (RSM) was used to evaluate the effect of the main variables, i.e., pH (11.35), temperature (35.16°C) and inoculum size (2.95%) on amylase production by applying a full factorial central composite design (CCD). The mutual interaction between these variables resulted into 4.64 fold increase in amylase activity as compared to the non-optimized enviro… Show more

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Cited by 36 publications
(20 citation statements)
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“…The optimum levels of the said variables were then determined by employing RSM. Present findings are also in accordance with the findings of Zambare, [18] in terms of the independent variables obtained. There are a number of reports in literature which suggests that lower temperatures enhance the production of EPS [19,7].…”
Section: C Validation Of the Modelsupporting
confidence: 92%
“…The optimum levels of the said variables were then determined by employing RSM. Present findings are also in accordance with the findings of Zambare, [18] in terms of the independent variables obtained. There are a number of reports in literature which suggests that lower temperatures enhance the production of EPS [19,7].…”
Section: C Validation Of the Modelsupporting
confidence: 92%
“…In this study inoculum size of 4% gave maximum enzyme production. Zambare () reported inoculum size of 2.95% optimized through central composite design of response surface methodology for amylase production by Bacillus sp.…”
Section: Resultsmentioning
confidence: 99%
“…has been carried out by Ramkumar et al (2011). Also Zambare (2011) with the help of response surface methodology, optimized amylase enzyme production from Bacillus sp. by using cellulosic material.…”
Section: Effects Of Different Cellulosic Substrates On the Productionmentioning
confidence: 99%