试验设计和优化及其在发酵培养基优化中的应用

The Application of Experimental Design and Optimization Techniques in Optimization of Microbial Medium

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。

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 optimization 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.