原子电荷计算方法的对比

原子电荷是对化学体系中电荷分布最简单、最直观的描述形式之一,在理论和实际应用中都有重要意义.本文介绍了12种重要的原子电荷计算方法的原理和特点,通过大量实例从不同角度比较了它们的优缺点.这些方法包括Mulliken、分子环境中的原子轨道(AOIM)、Hirshfeld、原子偶极矩校正的Hirshfeld布居(ADCH)、自然布居分析(NPA)、Merz-Kollmann(MK)、分子中的原子(AIM)、Merck分子力场94(MMFF94)、AM1-BCC、Gasteiger、电荷模型2(CM2)以及电荷均衡(QEq)方法.最后本文对如何在实际应用中选择合适的计算方法给出了建议.     

The Atomic Partial Charges Arboretum: Trying to See the Forest for the Trees

Atomic partial charges are among the most commonly used interpretive tools in quantum chemistry. Dozens of different ‘population analyses’ are in use, which are best seen as proxies (indirect gauges) rather than measurements of a ‘general ionicity’. For the GMTKN55 benchmark of nearly 2,500 main-group molecules, which span a broad swathe of chemical space, some two dozen different charge distributions were evaluated at the PBE0 level near the 1-particle basis set limit. The correlation matrix between the different charge distributions exhibits a block structure; blocking is, broadly speaking, by charge distribution class. A principal component analysis on the entire dataset suggests that nearly all variation can be accounted for by just two ‘principal components of ionicity’: one has all the distributions going in sync, while the second corresponds mainly to Bader QTAIM vs. all others. A weaker third component corresponds to electrostatic charge models in opposition to the orbital-based ones. The single charge distributions that have the greatest statistical similarity to the first principal component are iterated Hirshfeld (Hirshfeld-I) and a minimal-basis projected modification of Bickelhaupt charges. If three individual variables, rather than three principal components, are to be identified that contain most of the information in the whole dataset, one representative for each of the three classes of Corminboeuf et al. is needed: one based on partitioning of the density (such as QTAIM), a second based on orbital partitioning (such as NPA), and a third based on the molecular electrostatic potential (such as HLY or CHELPG).     

Error of Atomic Charges Derived from Electrostatic Potential

The purpose of this article is to show that CHELP, CHELPG, and Merz and Kollman undergo error for the charge on atoms of HCOO^– (H₂O) _n for n = 1 6. We also demonstrate that the CHELP, CHELPG, and Merz and Kollman show error for the tendency toward change in the charges on carbons for CH₃NH⁺ ₃ (CH₃)₂NH⁺ ₂ (CH₃)₃NH⁺ (CH₃)₄N⁺.     

亲电取代反应中活性位点预测方法的比较

预测发生亲电取代反应的活性位点具有重要的理论和实际意义. 目前已提出了许多基于反应物自身电子结构的预测方法. 本文选择14 个单取代苯和8 个双取代苯作为测试集,对14 种预测方法的可靠性进行了详细的比较分析. 结果表明,福井函数、平均局部离子化能等体现局部电子软度的方法特别适合含有邻对位定位基的单取代苯和双取代苯体系,但对于含有单个间位定位基的体系,这类方法往往预测失败. 基于静电效应的预测方法整体表现明显不如体现局部软度的方法,但更适合含有单个间位定位基的体系. 对所有体系预测能力最稳健的是双描述符,因此可以作为普适性的预测方法.     

亲电取代反应中活性位点预测方法的比较

预测发生亲电取代反应的活性位点具有重要的理论和实际意义.目前已提出了许多基于反应物自身电子结构的预测方法.本文选择14个单取代苯和8个双取代苯作为测试集,对14种预测方法的可靠性进行了详细的比较分析.结果表明,福井函数、平均局部离子化能等体现局部电子软度的方法特别适合含有邻对位定位基的单取代苯和双取代苯体系,但对于含有单个间位定位基的体系,这类方法往往预测失败.基于静电效应的预测方法整体表现明显不如体现局部软度的方法,但更适合含有单个间位定位基的体系.对所有体系预测能力最稳健的是双描述符,因此可以作为普适性的预测方法.     

新型三维原子场全息相互作用矢量用于几类典型药物体系的QSAR研究

将有机化合物中常见原子按元素周期表的族和杂化状态进行分类, 基于药物与受体相互作用的3类非键效应, 从分子空间立体结构出发得到了一种新型三维原子场全息作用矢量(3D-HoVAIF). 利用该矢量对几类典型药物体系进行了系统的QSAR研究, 结果表明, 3D-HoVAIF能够有效地提取药物分子的立体结构信息并与其生物活性呈良好线性关联.     

Recent advances in the use of graphene-family nanoadsorbents for removal of toxic pollutants from wastewater

Adsorption technology is widely considered as the most promising and robust method of purifying water at low cost and with high-efficiency. Carbon-based materials have been extensively explored for adsorption applications because of their good chemical stability, structural diversity, low density, and suitability for large scale production. Graphene – a single atomic layer of graphite – is the newest member in the family of carbon allotropes and has emerged as the “celeb” material of the 21st century. Since its discovery in 2004 by Novoselov, Geim and co-workers, graphene has attracted increased attention in a wide range of applications due to its unprecedented electrical, mechanical, thermal, optical and transport properties. Graphene's infinitely high surface-to-volume ratio has resulted in a large number of investigations to study its application as a potential adsorbent for water purification. More recently, other graphene related materials such as graphene oxide, reduced graphene oxide, and few-layered graphene oxide sheets, as well as nanocomposites of graphene materials have also emerged as a promising group of adsorbent for the removal of various environmental pollutants from waste effluents. In this review article, we present a synthesis of the current knowledge available on this broad and versatile family of graphene nanomaterials for removal of dyes, potentially toxic elements, phenolic compounds and other organic chemicals from aquatic systems. The challenges involved in the development of these novel nanoadsorbents for decontamination of wastewaters have also been examined to help identify future directions for this emerging field to continue to grow.