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

doi:10.1016/j.bej.2013.02.019

CORC > 北京大学 > 环境科学与工程学院

	Application of an integrated statistical design to optimize the cold enzyme hydrolysis conditions for ethanol production
	Bao Yingling ; Chen Li ; Wang Honglin ; Yan Zongcheng
刊名	biochemical engineering journal
	2013
关键词	Ethanol Starch Yeast Cold enzyme hydrolysis Optimisation Response surface methodology GRAVITY CASSAVA MASH SIMULTANEOUS SACCHARIFICATION BIOETHANOL PRODUCTION STARCH HYDROLYSIS CORN STARCH RAW STARCH FERMENTATION TEMPERATURE FEEDSTOCKS
DOI	10.1016/j.bej.2013.02.019
英文摘要	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 +/- 0.042 x 10(8) 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 +/- 0.038 x 10(8) 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 114 mm with 233 IU/g(starch) alpha-amylase and 778 IU/g(starch) glucoamylase. The optimized conditions were shown to be feasible and reliable through verification tests. (C) 2013 Elsevier B.V. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000319308400005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Biotechnology & Applied Microbiology; Engineering, Chemical; SCI(E); EI; 0; ARTICLE; 27-35; 74
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/158317]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Bao Yingling,Chen Li,Wang Honglin,et al. Application of an integrated statistical design to optimize the cold enzyme hydrolysis conditions for ethanol production[J]. biochemical engineering journal,2013.
APA	Bao Yingling,Chen Li,Wang Honglin,&Yan Zongcheng.(2013).Application of an integrated statistical design to optimize the cold enzyme hydrolysis conditions for ethanol production.biochemical engineering journal.
MLA	Bao Yingling,et al."Application of an integrated statistical design to optimize the cold enzyme hydrolysis conditions for ethanol production".biochemical engineering journal (2013).