广东海洋大学学报2016，Vol.36Issue(6)：87-93,7.DOI:10.3969/j.issn.1673-9159.2016.06.014
黑曲霉产β-葡萄糖苷酶工艺的神经网络优化
Optimization of Conditions for Producing β-Glucosidase by Aspergillus niger Based on Neural Network
摘要
Abstract
Based on the single factor experiments,this research obtained high enzyme activity of β-glucosidase from Aspergillus niger CICC 2475 by using Box-Behnken center-united design and JMP 7.0 neural network,the conditions of β-glucosidase were optimized by the control of inoculation mount,fermentation pH,fermentation time and broth content.The results showed that:the inoculation amount was about 11.0 ％,the initial pH of 5.6,fermentation time was 130 hours and broth content 70.0 mL,the enzyme activity of Aspergillus niger fermentation β-glucosidase reached the maximum (118.73 U/mL),compared with the previous optimization (61.01 U/mL),the enzyme activity increased by 48.61％.关键词
黑曲霉CICC2475/β-葡萄糖苷酶/神经网络Key words
Aspergillus niger CICC 2475/β-glucosidase/neural network分类
化学化工引用本文复制引用
高倩,秦小明,钟赛意,陈建平..黑曲霉产β-葡萄糖苷酶工艺的神经网络优化[J].广东海洋大学学报,2016,36(6):87-93,7.基金项目
广东省教育厅创新强校工程项目(2013050214) （2013050214）
