试验设计和优化及其在发酵培养基优化中的应用试验设计和优化及其在发酵培养基优化中的应用.pdf

微生物学通报 JUN 20, 2010, 37(6): 894−903 Microbiology China © 2010 by Institute of Microbiology, CAS tongbao@ 专论与综述 试验设计和优化及其在发酵培养基优化中的应用 代志凯1,2 张翠1,2 阮征1,2* (1. 330047) (2. 330031) 摘 要: 在发酵工业中, 发酵培养基的优化对发酵水平的提高起着举足轻重的作用。而在寻求最 佳发酵培养基的过程中, 试验设计及统计优化发挥着重要作用。对近年来常用的试验设计及优化 方法进行了综述, 内容包括单因素轮换法、析因设计、均匀设计、响应面设计、人工神经网络和 遗传算法等多种试验设计和优化方法, 并对其进行分析和比较。 : 关键词 培养基, 优化, 试验设计, 神经网络, 遗传算法 The Application of Experimental Design and Optimization Techniques in Optimization of Microbial Medium DAI Zhi-Kai1,2 ZHANG Cui1,2 RUAN Zheng1,2* (1. State Key Laboratory of Food Science and Technology, Nanchang, Jiangxi 330047, China) (2. College of Life Science and Food Engineering, Nanchang University, Nanchang, Jiangxi 330031, China) Abstract: The optimization of fermentation medium is important for improving microbial production or quality in fermentation industry. Experimental design and optimization techniques play an important role for optimizing medium. In this paper, we reviewed the methodologies and techniques used in opti- mization of microbial medium, including one-factor-at-a-time design, factorial design, uniform design, response surface optimization (RSM), artificial neural network (ANN) and genetic algorithms (GA). Meanwhile, the methodologies and techniques were analyzed and evaluated comprehensively. Keywords: Fermentation medium, Optimization, Experimental design, Artificial neural network, Ge- netic algorithm , , ,