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Use of molecular dynamics simulations to estimate the solubility of menadione in supercritical CO2 using Chrastil's model

机译:使用Chrastil模型使用分子动力学模拟来估计超临界CO2中脑脑的溶解度

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The binary system of menadione in explicit supercritical carbon dioxide (SC-CO2) was studied using molecular dynamics (MD) simulations, with the objective to understand the nature of interactions between menadione and SC-CO2 at different temperatures and pressures in order to complement experimental solubility measurements. A force field was developed for menadione and tested by comparing computed and experimental monoclinic crystal structures at 283 K and 0.01 MPa. Lattice parameters obtained from anisotropic isothermal-isobaric MD simulations agreed reasonably well with experimental values, with an average absolute relative deviation (AARD%) less than 7%. A previously validated force field for SC-CO2 was used, and simple mixing rules were used to describe cross interactions. Canonical ensemble MD simulations were used to estimate the association number for CO2 about menadione and the enthalpy required to form a SC-CO2 solvate complex with menadione as a function of temperature and CO2 density. Spatial distribution functions were computed to better understand the nature of the molecular-level interactions between menadione and SC-CO2 as well as between associating menadione molecules. This work is the first part of a study that uses MD simulations as the main tool to represent a binary system. The MD methodologies of this work will be applied to represent our future studies of menadione derivatives in SC-CO2. (C) 2016 Elsevier B.V. All rights reserved.
机译:使用分子动力学(MD)仿真研究了明确超临界二氧化碳(SC-CO2)中的植物模的二元体系,目的是了解在不同温度和压力下的男女养基和SC-CO2之间的相互作用的性质,以便补充实验溶解度测量。为植物模开发一种力场,并通过将计算和实验单斜晶结构与283k和0.01MPa进行比较来进行测试。从各向异性等温性 - 等离子石MD模拟获得的晶格参数与实验值相当良好,平均绝对相对偏差(AARD%)小于7%。使用先前验证的SC-CO2的力场,使用简单的混合规则来描述交叉相互作用。 Canonical集合MD模拟用于估计CO 2的关联编号关于男女淋合的焓,与温度和CO 2密度的函数形成SC-CO2溶剂化物复合物的焓。计算空间分布功能以更好地了解男女养基和SC-CO2之间的分子水平相互作用的性质以及关联的脑子组胺分子。这项工作是一项研究的第一部分,它使用MD模拟作为代表二进制系统的主要工具。本工作的MD方法将适用于代表SC-CO2中未来的植物衍生物的研究。 (c)2016年Elsevier B.v.保留所有权利。

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