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Optimal trade-off design of integrated fermentation processes for ethanol production using genetically engineered yeast

机译:使用基因工程酵母生产乙醇的综合发酵工艺的最佳权衡设计

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In this study, we considered a multi-stage integrated extractive fermentation with cell recycling for ethanol production using the genetically engineered Sacchromycesyeast 1400 (pLNH33), which can utilize glucose and xylose as carbon sources to produce ethanol. Each stage consists of a stirred-tank bioreac-tor, a cell settler and an extractor. A generalized mathematical model was formulated to express the multi-stage integrated process. The aim of the optimization problem was to obtain the maximum overall productivity and conversions subject to the interval inequality constraints for the residual glucose and xylose concentrations and the total sugar supply. A fuzzy goal attainment method was applied to the multiobjective problem in order to achieve the maximum satisfaction for all design requirements. From the computational results, the integrated extractive fermentation with cell recycling (involving the extraction of ethanol from the extractor in situ to alleviate product inhibition) led to an optimal overall productivity that was 8.0% higher than that obtained by the method of continuous fermentation with cell recycling, and about 13-fold higher than that obtained by the method of continuous fermentation without cell recycling.
机译:在这项研究中,我们考虑了使用基因工程酿酒酵母1400(pLNH33)进行细胞回收的多阶段集成萃取发酵和细胞回收,可利用葡萄糖和木糖作为碳源生产乙醇。每个阶段均由搅拌釜式生物反应器,细胞沉降器和提取器组成。建立了广义的数学模型来表示多阶段集成过程。优化问题的目的是获得最大的总生产率和转化率,但要考虑到剩余葡萄糖和木糖浓度以及总糖供应的区间不等式约束。为了达到所有设计要求的最大满意度,将模糊目标达成方法应用于多目标问题。从计算结果来看,具有细胞循环功能的集成萃取发酵(涉及从萃取器中原位提取乙醇以减轻产物抑制作用)导致最佳总体生产率比通过细胞连续发酵方法获得的总生产率高8.0%回收,比不进行细胞回收的连续发酵方法高约13倍。

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