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Systematic optimization of fed-batch simultaneous saccharification and fermentation at high-solid loading based on enzymatic hydrolysis and dynamic metabolic modeling of Saccharomyces cerevisiae

机译:基于酿酒酵母酶解和动态代谢模型的高固体分分批补料糖化和发酵系统优化

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摘要

An integrative simultaneous saccharification and fermentation (SSF) modeling is a useful guiding tool for rapid process optimization to meet the techno-economic requirement of industrial-scale lignocellulosic ethanol production. In this work, we have developed the SSF model composing of a metabolic network of a Saccharomyces cerevisiae cell associated with fermentation kinetics and enzyme hydrolysis model to quantitatively capture dynamic responses of yeast cell growth and fermentation during SSF. By using model-based design of feeding profiles for substrate and yeast cell in the fed-batch SSF process, an efficient ethanol production with high titer of up to 65 g/L and high yield of 85 % of theoretical yield was accomplished. The ethanol titer and productivity was increased by 47 and 41 %, correspondingly, in optimized fed-batch SSF as compared to batch process. The developed integrative SSF model is, therefore, considered as a promising approach for systematic design of economical and sustainable SSF bioprocessing of lignocellulose.
机译:集成的同时糖化和发酵(SSF)建模是快速过程优化以满足工业规模木质纤维素乙醇生产的技术经济要求的有用指导工具。在这项工作中,我们开发了SSF模型,该模型由与发酵动力学和酶水解模型相关的酿酒酵母细胞的代谢网络组成,以定量捕获SSF期间酵母细胞生长和发酵的动态响应。通过在补料分批SSF工艺中使用基于模型的底物和酵母细胞补料曲线设计,可以实现高效滴定度高达65 g / L的高效率乙醇和理论产率的85%的高产率。与分批工艺相比,优化的分批补料SSF中的乙醇效价和生产率分别提高了47%和41%。因此,已开发的综合SSF模型被认为是对木质纤维素进行经济,可持续的SSF生物处理系统设计的有前途的方法。

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