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Computational evaluation of the chemical warfare agents capture performances of robust MOFs

索曼 神经毒剂 膦酸盐 沙林 吸附 甲基膦酸二甲酯 分子 氟磷酸二异丙酯 化学 密度泛函理论 计算化学 蒙特卡罗方法 组合化学 有机化学 乙酰胆碱酯酶 统计 数学
作者
Carla Vieira Soares,Alexandre A. Leitão,Guillaume Maurin
出处
期刊:Microporous and Mesoporous Materials [Elsevier BV]
卷期号:280: 97-104 被引量:22
标识
DOI:10.1016/j.micromeso.2019.01.046
摘要

A series of stable MOFs containing zirconium or titanium ions as metal centers was screened to assess their capture performances for nerve agents including sarin and soman as well as their standard simulants, i.e. the dimethyl-methyl-phosphonate and diisopropyl fluorophosphate. These Monte Carlo simulations revealed that some of these MOFs show very high uptakes that significantly outperform those of other families of porous materials and interestingly they exhibit a very high affinity for these toxic molecules at low loading. These combined features make them potentially attractive to act as nerve agent filters. This set of adsorption data was further rationalized to establish structure-adsorption performances relationship and Monte Carlo simulations were combined with Density Functional Theory calculations to gain more insight into the adsorption mechanism in play. Finally, the choice of reliable simulants to accurately mimic the adsorption behavior of real toxic molecules in MOFs has been further discussed and in particular it has been established that soman is better described considering the pinacolyl methylphosphonate rather than the standard dimethyl-methyl-phosphonate and diisopropyl fluorophosphate simulants.

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