Application of response surface methodology in enzymatic synthesis: a review.

Bioorganicheskaia khimiia Pub Date : 2014-05-01
Mansour Ghaffari-Moghaddam, Zahra Yekke-Ghasemi, Mostafa Khajeh, Mansoureh Rakhshanipour, Yamin Yasin
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引用次数: 0

Abstract

There are very chemical reactions with very slow rates which can be catalyzed by enzymes. These biocatalysts need to moderate conditions for their catalytic activity and are stable in low temperature (between 15-50°C), average pH (5-10) and aqueous media. One of important things in enzymatic synthesis which has been recently noticed is the yield of reactions. Nowadays wide application of response surface methodology (RSM) was observed in organic chemistry. In one-variable-at-a-time technique only one parameter is changed and other parameters are kept at a constant level. It does not study the interactive effects among the variables, and does not illustrate the complete effects of the parameters on the process. Increasing the yield of product without increase in casts is carried out by modeling and optimization of reaction variables through statistical techniques such as RSM. In this paper, we reviewed some articles that used the RSM for optimization in the enzymatic synthesis.

响应面法在酶合成中的应用综述。
有一些速率很慢的化学反应可以由酶催化。这些生物催化剂的催化活性需要适度的条件,并且在低温(15-50°C),平均pH(5-10)和水介质中稳定。酶合成中的一个重要问题是反应的产率。响应面法在有机化学中得到了广泛的应用。在一次一个变量技术中,只改变一个参数,其他参数保持恒定水平。它没有研究变量之间的相互作用,也没有说明参数对过程的完整影响。通过RSM等统计技术对反应变量进行建模和优化,实现了在不增加铸件的情况下提高产品收率。本文综述了利用RSM优化酶促合成的研究进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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