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Minimization of Glycerol Production during the High-Performance Fed-Batch Ethanolic Fermentation Process in Saccharomyces cerevisiae Using a Metabolic Model as a Prediction Tool

机译:使用代谢模型作为预测工具在酿酒酵母高效补料分批乙醇发酵过程中甘油的产生最小化

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摘要

On the basis of knowledge of the biological role of glycerol in the redox balance of Saccharomyces cerevisiae, a fermentation strategy was defined to reduce the surplus formation of NADH, responsible for glycerol synthesis. A metabolic model was used to predict the operating conditions that would reduce glycerol production during ethanol fermentation. Experimental validation of the simulation results was done by monitoring the inlet substrate feeding during fed-batch S. cerevisiae cultivation in order to maintain the respiratory quotient (RQ) (defined as the CO2 production to O2 consumption ratio) value between 4 and 5. Compared to previous fermentations without glucose monitoring, the final glycerol concentration was successfully decreased. Although RQ-controlled fermentation led to a lower maximum specific ethanol production rate, it was possible to reach a high level of ethanol production: 85 g · liter−1 with 1.7 g · liter−1 glycerol in 30 h. We showed here that by using a metabolic model as a tool in prediction, it was possible to reduce glycerol production in a very high-performance ethanolic fermentation process.
机译:基于甘油在酿酒酵母的氧化还原平衡中的生物学作用的知识,确定了一种发酵策略以减少负责甘油合成的NADH的过量形成。代谢模型用于预测在乙醇发酵过程中减少甘油产量的操作条件。通过在分批补料酿酒酵母培养过程中监控入口基质的进料来完成仿真结果的实验​​验证,以将呼吸商(RQ)(定义为CO2产生量与O2消耗量的比)保持在4到5之间。比较与之前没有进行葡萄糖监测的发酵相比,最终甘油浓度已成功降低。尽管由RQ控制的发酵导致较低的最大单位乙醇生产速率,但仍有可能达到较高的乙醇生产水平:85 g·升 -1 和1.7 g·升 -1 甘油在30小时内。我们在这里表明,通过使用代谢模型作为预测工具,可以在非常高效的乙醇发酵过程中减少甘油的产生。

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