Suppr超能文献

响应面法在酶促合成中的应用:综述

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

作者信息

Ghaffari-Moghaddam Mansour, Yekke-Ghasemi Zahra, Khajeh Mostafa, Rakhshanipour Mansoureh, Yasin Yamin

出版信息

Bioorg Khim. 2014 May-Jun;40(3):275-85.

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.

摘要

存在一些反应速率非常缓慢的化学反应,它们可被酶催化。这些生物催化剂需要适度的条件来发挥其催化活性,并且在低温(15 - 50°C)、中性pH(5 - 10)和水性介质中稳定。酶促合成中最近被注意到的重要事项之一是反应产率。如今,响应面法(RSM)在有机化学中得到了广泛应用。在一次只改变一个变量的技术中,仅改变一个参数,而其他参数保持恒定水平。它不研究变量之间的交互作用,也不能说明参数对过程的完整影响。通过诸如RSM等统计技术对反应变量进行建模和优化,可以在不增加成本的情况下提高产物产率。在本文中,我们综述了一些使用RSM进行酶促合成优化的文章。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验