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使用基于COSMO的状态方程将溶剂效应纳入动力学常数预测中。

Integrating Solvent Effects into the Prediction of Kinetic Constants Using a COSMO-Based Equation of State.

作者信息

Paes Francisco, de Souza Batalha Gabriel, Citrangolo Destro Fabiola, Fournet René, Privat Romain, Jaubert Jean-Noël, Sirjean Baptiste

机构信息

CNRS, LRGP, Université de Lorraine, F-54000 Nancy, France.

出版信息

J Chem Theory Comput. 2025 Apr 8;21(7):3625-3648. doi: 10.1021/acs.jctc.5c00133. Epub 2025 Mar 25.

Abstract

While kinetic generators produce thermo-kinetic data for detailed gas-phase kinetic models, adapting these models for liquid-phase applications poses challenges due to the need for solvent-dependent thermodynamic properties. To bridge this gap, solvation energies are used to incorporate solvent effects into gas-phase thermo-kinetic data. However, such an adaptation depends on calculating liquid-phase data of unconventional solutes such as free radicals and transition states, which are not accessible with classical equations of states. To address this issue, this work proposes a flexible framework based on an equation of state that integrates all the latest advances of this model family and is called the -PR EoS. Combined with a quantum-based continuum solvation model (COSMO-RS) through an advanced mixing rule, the proposed model is made predictive by employing group contribution methods to estimate the pure compound input parameters required to perform thermodynamic calculations with the model. These parameters can be calculated for closed-shell molecules, free radicals, and transition states, with an average deviation of less than 10% with respect to the benchmark database containing experimental data as well as data obtained from quantum-based calculations and QSPR-type correlations. The -PR/COSMO-RS model is able to predict the solvation free energies of activation for H-abstraction reactions with an accuracy of approximately 0.2 kcal/mol, offering a high-throughput and accurate solution for integrating solvation effects into detailed kinetic models in the liquid phase.

摘要

虽然动力学发生器可为详细的气相动力学模型生成热动力学数据,但由于需要依赖溶剂的热力学性质,将这些模型应用于液相时会面临挑战。为了弥补这一差距,溶剂化能被用于将溶剂效应纳入气相热动力学数据。然而,这种适配依赖于计算非常规溶质(如自由基和过渡态)的液相数据,而经典状态方程无法获取这些数据。为了解决这个问题,本工作提出了一个基于状态方程的灵活框架,该框架整合了此模型家族的所有最新进展,被称为-PR状态方程。通过先进的混合规则与基于量子的连续介质溶剂化模型(COSMO-RS)相结合,所提出的模型通过采用基团贡献方法来预测进行热力学计算所需的纯化合物输入参数,从而具有预测能力。这些参数可针对闭壳分子、自由基和过渡态进行计算,相对于包含实验数据以及基于量子计算和QSPR型关联得到的数据的基准数据库,平均偏差小于10%。-PR/COSMO-RS模型能够以约0.2 kcal/mol的精度预测氢提取反应的溶剂化活化自由能,为将溶剂化效应纳入液相详细动力学模型提供了一种高通量且准确的解决方案。

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