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Transesterification of substituted ethanols-modelling studies

机译:取代乙醇的酯交换反应建模研究

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Kinetic and molecular modeling of transesterification of ethyl acetate and substituted ethanols with porcine pancreatic lipase(PPL)and Candida cylindracea lipase(YL)is studied.Competitive product inhibition model is able to explain the observed behaviour well.The molecular dimensions of the substrates and the products,thermodynamic parameters and charges were estimated by molecular modelling based on minimum energy conformation and semi empirical quantum mechanical calculations.A strong correlation exists in the case of YL between conversion and(a)the cross sectional area of the alcohols,(b)difference between minimum energies of ester and alcohol,and(c)difference between the electrostatic potential volume of ester and alcohol.Only a weak correlation exists between these parameters,in the case of PPL whereas a strong correlation exists for PPL between conversion and charge on the alcohol oxygen of the substrate.Linear regression equations were developed for predicting the conversion based on these factors.Artificial neural networks(ANN)were employed to bring out the dependence of the catalytic activity on the molecular structure of the substituted ethanol.ANN model with charge on oxygen and molecular weight seems to fit the maximum reaction velocity in the case of PPL very closely.In the case of YL,ANN model with electrostatic potential volume difference and van der Waals volume fits the data satisfactorily.The variation of the maximum velocity with these parameters was also predicted using artificial neural network analysis.These studies indicate that both the lipases behave in different manner for the transesterification reaction.
机译:研究了猪胰脂肪酶(PPL)和假丝酵母念珠菌脂肪酶(YL)对乙酸乙酯和取代乙醇进行酯交换反应的动力学和分子模型,竞争性产物抑制模型能够很好地解释所观察到的行为。通过最小能量构象和半经验量子力学计算,通过分子建模估算产物,热力学参数和电荷。在YL情况下,转化率与(a)醇的截面积,(b)差异之间存在很强的相关性。在酯和醇的最小能量之间,以及(c)酯和醇的静电势之间的差异。在PPL的情况下,这些参数之间仅存在弱相关性,而PPL的转化率和电荷之间存在强相关性底物的醇氧。建立线性回归方程以预测转化率人工神经网络(ANN)被用来证明催化活性对取代乙醇分子结构的依赖性。在这种情况下,带电荷和分子量的电荷的ANN模型似乎适合最大反应速度在YL情况下,具有静电势体积差和范德华体积的ANN模型可以令人满意地拟合数据。还使用人工神经网络分析预测了最大速度随这些参数的变化。两种脂肪酶在酯交换反应中的行为均不同。

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