一种预测rProROL酶促大豆油水解过程水解率的新模型

New model for the predication of hydrolysis rate during the hydrolysis of soybean oil catalyzed by recombinant Rhizopus oryzae lipase

基于重组脂肪酶(recombinant Rhizopus oryzae lipase with prosequence,rProROL)催化大豆油(甘油三酯,triglyceride,以TAG表示)水解反应过程中反应因素(反应温度、缓冲液p H、缓冲液添加量、反应时间和酶添加量)对TAG水解率的影响,分析了缓冲液p H、缓冲液添加量、反应时间和酶添加量与TAG水解率变化均呈良好的数学关系,据此提出可预测TAG水解率经验模型的表达式。通过对比TAG水解率的实验值与由该数学模型计算的预测值,两者的相关系数为0.914 6,说明了该模型能较好地反映rProROL酶促大豆油水解过程TAG水解率的变化规律。这将为rProROL酶促大豆油水解制备脂肪酸的过程优化控制提供参考。

The effects of parameters （reaction temperature, buffer pH, buffer amount and lipase amount） on the triglyceride （TAG） hydrolysis rate during the hydrolysis of soybean oil catalyzed by a recombinant Rhizopus oryzae li- pase containing prosequence （rProROL） were analyzed, and the empirical model of TAG hydrolysis rate was built based on the integration of a series of parameters including buffer pH, buffer amount and lipase amount. The results showed that the correlation coefficient between TAG hydrolysis rates obtained from experiments and predicted by the established model was 0. 9146, confirming that this model could precisely predict TAG hydrolysis rate. Therefore, the model could be applied to the practical hydrolysis process catalyzed by rProROL for optimizing and monitoring TAG hydrolysis rate.