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涂料材料中添加剂分子附着力对增强防腐性能的分子动力学模拟

Molecular Dynamics Simulation of Adhesion of Additive Molecules in Paint Materials toward Enhancement of Anticorrosion Performance.

作者信息

Suzuki Hiroyuki, Ejima Hirotaka, Ohnishi Isamu, Ichiki Takanori, Shibuta Yasushi

机构信息

Technology Division Strategic Product Technology Development, NIPPON PAINT INDUSTRIAL COATINGS CO., LTD., 2-1-2 Oyodokita, Kita-ku, Osaka 531-8511, Japan.

Department of Materials Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

出版信息

ACS Omega. 2024 Jan 12;9(4):4656-4663. doi: 10.1021/acsomega.3c07902. eCollection 2024 Jan 30.

Abstract

Adsorption energies of additive molecules in paint materials on the iron oxide substrate are investigated by molecular dynamics (MD) simulations to find the key feature of adhesion, which is one of the indispensable elements for the corrosion resistance of coated materials. Both edge-on and face-on adsorptions are observed for most additive molecules such as phenylsuccinic acid and benzoic acid. On the other hand, only the edge-on adsorption is observed for the specific molecule having a benzothiazole ring due to the effect of steric conformation. The largest adsorption energy per functional group is observed for two nitrogen atoms in the thiazole ring and amino group, which influences the relationship between face-on and edge-on adsorption energies. Moreover, a correlation analysis using RDKit descriptors is performed to discuss the dominant factor for the adsorption energy of additive molecules. The descriptor for the magnitude of partial charge relative to the molecular surface area and the one for the topological polar surface area have the largest correlation with the adsorption energy of the target molecules. It is significant in this study to extract key factors that contribute to molecular adhesion through MD simulations in combination with correlation analysis using RDKit descriptors. This study is a good example of the computer-assisted design of new paint materials.

摘要

通过分子动力学(MD)模拟研究了涂料材料中添加剂分子在氧化铁基材上的吸附能,以找出附着力的关键特征,附着力是涂层材料耐腐蚀性能不可或缺的要素之一。对于大多数添加剂分子,如苯基琥珀酸和苯甲酸,观察到了侧立吸附和面吸附。另一方面,由于空间构象的影响,对于具有苯并噻唑环的特定分子,仅观察到侧立吸附。噻唑环中的两个氮原子和氨基的每个官能团的吸附能最大,这影响了面吸附和侧立吸附能之间的关系。此外,使用RDKit描述符进行了相关性分析,以讨论添加剂分子吸附能的主导因素。相对于分子表面积的部分电荷大小描述符和拓扑极性表面积描述符与目标分子的吸附能具有最大的相关性。通过MD模拟结合使用RDKit描述符的相关性分析来提取有助于分子粘附的关键因素,在本研究中具有重要意义。这项研究是新型涂料材料计算机辅助设计的一个很好的例子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10831822/07070b6f583e/ao3c07902_0001.jpg

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