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首页> 外文期刊>Chemical and Biochemical Engineering Quarterly >Application of Chemical Engineering Methodology in Process Development: A Case Study of MenD-catalyzed Synthesis of 6-Cyano-4-oxohexanoic Acid
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Application of Chemical Engineering Methodology in Process Development: A Case Study of MenD-catalyzed Synthesis of 6-Cyano-4-oxohexanoic Acid

机译:化学工程方法在工艺开发中的应用 - 以6-氰基-4-氧己酸的修补催化合成为例

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摘要

To speed up evaluation, development and upscaling of new processes, the use of engineering methodology can have a great impact. Here we show the application of an engineering approach to find the reaction conditions allowing the best process metrics. An experimentally validated mathematical model for the MenD-catalyzed synthesis of a commercially unavailable product, 6-cyano-4-oxohexanoic acid, with a potential industrial use as a building block, was used for process optimization. Using the optimized conditions, 62.4 g dm~(-3) of product, volume productivity of 87.1 g dm~3 d~(-1), product yield of 96 %, and biocatalyst productivity of 25.8 kg_p kg~(-1)_(MenD) can be achieved. Based on the optimized production procedure, economic analysis was performed to determine minimal product price required for project to be profitable in 8 years economic lifetime. In addition, Monte Carlo analysis (MCA) was used to assess the influence of uncertainties in estimation of input variables on overall economic performance.
机译:为了加快新工艺的评估,开发和上升,工程方法的使用可能会产生很大的影响。在这里,我们展示了工程方法的应用来找到允许最佳过程度量的反应条件。使用作为构建块的潜在工业用途的潜在工业用途的经过实验验证的催化合成的数学模型。使用优化的条件,62.4g DM〜(-3)产品,体积生产率87.1g dm〜3 d〜(-1),产率为96%,生物催化剂生产率为25.8kg_p kg〜(-1)_ (修补程序)可以实现。根据优化的生产程序,进行经济分析,以确定项目在8年经济终生8年内有利可图的最低产品价格。此外,Monte Carlo分析(MCA)用于评估不确定性在整体经济绩效估算中的影响。

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