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用于提高粘红酵母辅酶Q10产量的工艺参数建模。

Modeling of process parameters for enhanced production of coenzyme Q10 from Rhodotorula glutinis.

作者信息

Balakumaran Palanisamy Athiyaman, Meenakshisundaram Sankaranarayanan

机构信息

a Centre for Biotechnology , Anna University , Chennai , India.

出版信息

Prep Biochem Biotechnol. 2015;45(4):398-410. doi: 10.1080/10826068.2014.923447.

Abstract

Coenzyme Q10 (CoQ10) plays an indispensable role in ATP generation through oxidative phosphorylation and helps in scavenging superoxides generated during electron transfer reactions. It finds extensive applications specifically related to oxidative damage and metabolic dysfunctions. This article reports the use of a statistical approach to optimize the concentration of key variables for the enhanced production of CoQ10 by Rhodotorula glutinis in a lab-scale fermenter. The culture conditions that promote optimum growth and CoQ10 production were optimized and the interaction of significant variables para-hydroxybenzoic acid (PHB, 819.34 mg/L) and soybean oil (7.78% [v/v]) was studied using response surface methodology (RSM). CoQ10 production increased considerably from 10 mg/L (in control) to 39.2 mg/L in batch mode with RSM-optimized precursor concentration. In the fed-batch mode, PHB and soybean oil feeding strategy enhanced CoQ10 production to 78.2 mg/L.

摘要

辅酶Q10(CoQ10)在通过氧化磷酸化产生三磷酸腺苷(ATP)的过程中发挥着不可或缺的作用,并有助于清除电子传递反应过程中产生的超氧化物。它在与氧化损伤和代谢功能障碍相关的领域有着广泛的应用。本文报道了使用一种统计方法来优化关键变量的浓度,以提高实验室规模发酵罐中粘红酵母生产CoQ10的产量。对促进最佳生长和CoQ10生产的培养条件进行了优化,并使用响应面法(RSM)研究了重要变量对羟基苯甲酸(PHB,819.34毫克/升)和大豆油(7.78%[v/v])之间的相互作用。通过RSM优化前体浓度后,在分批模式下,CoQ10的产量从10毫克/升(对照)大幅提高到39.2毫克/升。在补料分批模式下,PHB和大豆油的补料策略将CoQ10的产量提高到了78.2毫克/升。

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