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Application of an integrated statistical design to optimize the cold enzyme hydrolysis conditions for ethanol production

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논문

Application of an integrated statistical design to optimize the cold enzyme hydrolysis conditions for ethanol production

학술지

Biochemical engineering journal

저자명

Yingling, B.; Li, C.; Honglin, W.; Zongcheng, Y.

초록

Cold enzyme hydrolysis was investigated on the ethanol production by Saccharomyces cerevisiae during simultaneous saccharification and fermentation (SSF) processing. An integrated statistical design, which incorporated single factor design, response surface methodology (RSM) and weighting coefficient method, was used to determine the optimum hydrolysis conditions leading to maximum biomass, ethanol concentration and starch utilization ratio. After the studied ranges of &alpha;-amylase, glucoamylase and liquefaction time were identified by single factor design, RSM was used to further optimize the hydrolysis conditions for each objective. The results showed that, under hydrolysis condition optimized with RSM, biomass, ethanol concentration and starch utilization ratio reached 4.401+/-0.042x10<SUP>8</SUP>cells/ml, 14.81+/-0.23% (wt.%) and 94.52+/-0.53%, respectively. Finally, multi-objective optimization (MOO) was applied to obtain a compromised result of three desirable responses by weighting coefficient methodology. Biomass of 4.331+/-0.038x10<SUP>8</SUP>cells/ml, ethanol concentration of 14.12+/-0.21% (wt.%) and starch utilization ratio of 92.88+/-0.21% were simultaneous obtained when hydrolysis at pH 5.9 for 114min with 233IU/g<SUB>starch</SUB> &alpha;-amylase and 778IU/g<SUB>starch</SUB> glucoamylase. The optimized conditions were shown to be feasible and reliable through verification tests.

발행연도

2013

발행기관

Elsevier

ISSN

1369-703x

74

페이지

pp.27-35

주제어

Response surface methodology; Ethanol; Starch; Yeast; Cold enzyme hydrolysis; Optimisation

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1 2023-12-11

논문; 2013-05-01

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