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通过响应面法优化微波预处理甘蔗梢的酶促糖化以生产生物燃料。

Optimization of enzymatic saccharification of microwave pretreated sugarcane tops through response surface methodology for biofuel.

作者信息

Maurya Devendra Prasad, Vats Siddharth, Rai Sudheer, Negi Sangeeta

机构信息

Motilal Nehru National Institute of Technology, Allahabad 211 004, India.

出版信息

Indian J Exp Biol. 2013 Nov;51(11):992-6.

PMID:24416936
Abstract

The optimization of biomass loading enzyme loading, surfactant concentration and incubation time, using response surface methodology (RSM) and Box Behnken design for enzymatic saccharification of sugarcane tops (SCT) for maximum recovery of fermentable sugars using crude cellulases, resulted in 90.24% saccharification efficiency. Maximum saccharification yield of 0.376 g/g glucose as substrate for ethanol production was observed at optimal conditions of 10% biomass loading (pretreated), 100FPU/g of cellulase loading, 0.04% (w/w) surfactant concentration and 72 h of incubation time.

摘要

采用响应面法(RSM)和Box-Behnken设计,对甘蔗梢(SCT)进行酶促糖化,以优化生物质负载量、酶负载量、表面活性剂浓度和孵育时间,使用粗纤维素酶以实现可发酵糖的最大回收率,糖化效率达到了90.24%。在10%生物质负载量(预处理)、100FPU/g纤维素酶负载量、0.04%(w/w)表面活性剂浓度和72小时孵育时间的最佳条件下,观察到以葡萄糖为底物用于乙醇生产的最大糖化产率为0.376 g/g。

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