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利用基于中心面设计的多目标优化模型优化 N6 不对称生物还原 1-茚酮的条件。

Optimization of asymmetric bioreduction conditions of 1-indanone by N6 using a face-centered design-based multi-objective optimization model.

机构信息

Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia.

Department of Industrial Engineering, Faculty of Engineering, Ondokuz Mayıs University, Samsun, Turkey.

出版信息

Prep Biochem Biotechnol. 2024 Jan;54(1):12-18. doi: 10.1080/10826068.2023.2201942. Epub 2023 Apr 21.

Abstract

There has been an increasing interest in biocatalysts over the past few decades in order to obtain high efficiency, high yield, and environmentally benign procedures aiming at the manufacture of pharmacologically relevant chemicals. Lactic Acid Bacteria (LAB), a microbial group, can be employed as biocatalysts while performing asymmetric reduction of prochiral ketones. In this study, N6 was used for the asymmetric bioreduction 1-indanone. And then, a novel and innovative face-centered design-based multi-objective optimization model was used to optimize experimental conditions. Also, the experimental design factors were defined as agitation speed, incubation period, pH, and temperature for optimization to acquire the maximum enantiomeric excess (ee) and conversion rate (cr) values. When using the face-centered design-based multi-objective optimization model, the optimum culture conditions corresponded to 96.34 and 99.42%, ee and cr responses, respectively, were pH = 5.87, incubation temperature = 35 °C, incubation period = 50.88 h, and agitation speed = 152.60 rpm. Notably, the validation experiment under the optimum model conditions confirmed the model results. This study demonstrated the importance of the optimization and the efficiency of the face-centered design-based multi-objective model.

摘要

在过去的几十年中,人们对生物催化剂越来越感兴趣,目的是获得高效、高产和环境友好的方法,以制造具有药理相关性的化学品。乳酸菌(LAB)作为一种微生物群,可以作为生物催化剂,同时进行前手性酮的不对称还原。在这项研究中,N6 被用于 1-茚酮的不对称生物还原。然后,使用新颖的基于中心面设计的多目标优化模型来优化实验条件。此外,实验设计因素被定义为搅拌速度、孵育时间、pH 值和温度,以优化获得最大对映体过量(ee)和转化率(cr)值。当使用基于中心面设计的多目标优化模型时,最佳培养条件对应的 ee 和 cr 响应分别为 96.34%和 99.42%,pH 值为 5.87、培养温度为 35°C、孵育时间为 50.88 h 和搅拌速度为 152.60 rpm。值得注意的是,在最佳模型条件下的验证实验证实了模型结果。本研究证明了优化的重要性和基于中心面设计的多目标模型的效率。

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