M. Sudar, I. Dejanović, Michael Vasić-Rački Đurđa Müller, Z. Blažević
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引用次数: 1
Abstract
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 dm3 of product, volume productivity of 87.1 g dm3 d1, product yield of 96 % and biocatalyst productivity of 25.8 kgP kgMenD1 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.
为了加快新工艺的评估、开发和升级,工程方法论的使用可以产生巨大影响。在这里,我们展示了工程方法的应用,以找到允许最佳工艺指标的反应条件。一个实验验证的数学模型用于MenD催化合成商业上不可用的产品6-氰基-4-氧代己酸,该产品具有潜在的工业用途作为构建块,用于工艺优化。使用优化的条件,62.4 g dm产品的3,体积生产率为87.1克dm3天1,产品收率为96%,生物催化剂生产率为25.8 kgP kgMenD1。在优化生产程序的基础上,进行了经济分析,以确定项目在8年经济寿命内盈利所需的最低产品价格。此外,还使用蒙特卡罗分析(MCA)来评估投入变量估计中的不确定性对整体经济绩效的影响。
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