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化学动力学中的焓-熵补偿效应与实验误差:一种数值模拟方法

Enthalpy-Entropy Compensation Effect in Chemical Kinetics and Experimental Errors: A Numerical Simulation Approach.

作者信息

Perez-Benito Joaquin F, Mulero-Raichs Mar

机构信息

Departamento de Ciencia de Materiales y Quimica Fisica, Seccion de Quimica Fisica, Facultad de Quimica, Universidad de Barcelona , Marti i Franques, 1, 08028 Barcelona, Spain.

出版信息

J Phys Chem A. 2016 Oct 6;120(39):7598-7609. doi: 10.1021/acs.jpca.6b08079. Epub 2016 Sep 21.

Abstract

Many kinetic studies concerning homologous reaction series report the existence of an activation enthalpy-entropy linear correlation (compensation plot), its slope being the temperature at which all the members of the series have the same rate constant (isokinetic temperature). Unfortunately, it has been demonstrated by statistical methods that the experimental errors associated with the activation enthalpy and entropy are mutually interdependent. Therefore, the possibility that some of those correlations might be caused by accidental errors has been explored by numerical simulations. As a result of this study, a computer program has been developed to evaluate the probability that experimental errors might lead to a linear compensation plot parting from an initial randomly scattered set of activation parameters (p-test). Application of this program to kinetic data for 100 homologous reaction series extracted from bibliographic sources has allowed concluding that most of the reported compensation plots can hardly be explained by the accumulation of experimental errors, thus requiring the existence of a previously existing, physically meaningful correlation.

摘要

许多关于同系反应系列的动力学研究报告了活化焓 - 熵线性相关性(补偿图)的存在,其斜率是该系列所有成员具有相同速率常数时的温度(等动力学温度)。不幸的是,统计方法已证明与活化焓和熵相关的实验误差是相互依存的。因此,通过数值模拟探讨了其中一些相关性可能由偶然误差引起的可能性。作为这项研究的结果,已开发出一个计算机程序来评估实验误差可能导致从一组初始随机分布的活化参数产生线性补偿图的概率(p检验)。将该程序应用于从文献资料中提取的100个同系反应系列的动力学数据后得出结论,大多数报道的补偿图很难用实验误差的累积来解释,因此需要存在先前就有的、具有物理意义的相关性。

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