Abstract Optimal control of substrate feed rate in glycerolysis of vegetable oils was studied as a tool to improve monoacylglycerols (MAG) and diacylglycerols (DAG) production. Stochastic optimization strategy (Differential Evolutionary algorithm) was used to deal with the high complexity of the enzyme-catalyzed reactions dynamic behavior. Depending on the reaction system, optimal control of glycerol feed rate into the reaction showed to avoid enzymatic inhibition by the glycerol and improve acylglycerols yields up to 50% when compared to batch system. The obtained results showed that optimal control strategy can be used as an efficient tool to maximize the amount of desired product obtained by enzyme-catalyzed glycerolysis, particularly when the biocatalyst activity is significantly affected by substrate concentration.

中文翻译：

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酰基甘油酶促生产的动态优化

摘要 研究了植物油甘油解过程中底物进料速率的最佳控制，作为提高单酰基甘油 (MAG) 和二酰基甘油 (DAG) 生产的工具。随机优化策略（Differential Evolutionary algorithm）用于处理酶催化反应动态行为的高度复杂性。根据反应系统，甘油进料速率的最佳控制表明，与分批系统相比，可避免甘油对酶的抑制作用，并将酰基甘油的产率提高至 50%。获得的结果表明，优化控制策略可以作为一种有效的工具来最大化酶催化甘油分解获得的所需产物的量，特别是当生物催化剂活性受底物浓度显着影响时。