偏最小二乘和量子化学参数预测酯类物质的闪点

基于化合物定量结构与性质的关系,对其中88个酯类化合物进行了B3LYP/6-31G*水平上的结构优化,并在优化结构基础上进行了量子化学结构参数的计算。应用偏最小二乘(PLS)方法对酯类化合物闪点温度这个理化性质与量子化学参数进行了关联。结果表明,分子热力学自由能(ΔG)结合偶极距(μ)可以很好地表达酯类化合物闪点温度与量子化学参数间的定量关系。所建立的QSPR模型具有较强的稳健性和预测能力。     

一些全氟(及多氟)有机化合物蒸汽压的QSPR研究

全氟(及多氟)化合物(PFCs)是环境中普遍存在的新一类持久性有机污染物。对其中有蒸汽压数据的35个全氟(及多氟)化合物进行了HF/6-31G*水平上的结构优化,并在优化结构的基础上进行分子表面静电势及其导出参数的计算。分别用"留一法"交叉验证及外部测试集对模型进行检验。结果表明,分子表面静电势参数结合分子表面积可以很好地表达全氟(及多氟)化合物与其分子结构间的定量关系,所建立的QSPR模型具有较强的稳健性和预测能力,同时也证明了分子静电势在全氟化合物QSPR研究中的适用性。     

基于启发式方法和支持向量机方法预测有机物的热导率

构建147个有机物分子结构与其热导率值之间的定量结构-性质关系(QSPR)模型, 探讨影响有机物热导率的结构因素. 以147个化合物作为样本集, 随机选择118个作为训练集, 29个作为测试集. 应用CODESSA软件计算了组成、拓扑、几何、静电和量子化学等描述符, 通过启发式方法(HM)筛选得到5个结构参数并建立线性回归模型; 用所选5个结构参数作为支持向量机(SVM)的输入, 建立非线性的支持向量机回归模型. 预测结果表明: 支持向量机回归模型的性能(复相关系数R²=0.9240)虽略低于启发式回归模型的性能(R²=0.9267), 但是支持向量机方法预测性能(R²=0.9682)高于启发式方法的预测性能(R²=0.9574), 对于QSPR模型来说, 预测性能更重要. 因此, 总体来说支持向量机方法优于启发式方法. 支持向量机方法和启发式方法的提出为工程上提供了一种根据分子结构预测有机物热导率的新方法.     

分子电性距离矢量用于稠环芳烃液相色谱保留值的QSPR研究

采用分子电性距离矢量(Molecular Electronegativity Distance Vector,MEDV)表征稠环芳烃类化合物的分子结构.分别运用多元线性回归(Multiple Linear Regres-sion,MLR)和偏最小二乘回归(PLS)建立了稠环芳烃类化合物结构与其液相色谱(LC)保留值的定量结构一性质关系(QSPR)模型,同时采用内部及外部双重验证的办法对所建模型稳定性能进行分析和验证,建模计算值、留一法交互检验预测值和外部样本预测值的复相关系数Rcum、RLOO、Qext分别为0.9970,0.9950,0.9925(MLR);0.9930,0.9790,0.9917(PLS).结果表明,MEDV能较好地表征该类分子结构信息,所建QSPR模型具有良好的稳定性和预测能力.为稠环芳烃类化合物分离、纯化、检测等方法的建立,提供有效的理论依据.     

基于启发式算法和支持向量机算法预测醛类化合物急性毒性

应用启发式算法(HM)和支持向量机算法(SVM)建立了88种醛类化合物对大鼠急性毒性的定量构效关系模型。应用ChemOffice2004软件进行化合物的结构输入,利用半经验方法进行分子结构优化,在CODDESA软件中计算出组成、拓扑、几何、电子和量子化学参数。并用启发式方法筛选出相对阳性电荷、氧原子数量、碳原子的最小亲核反应指数、双键相对数量、碳原子数量、碳氢键之间的最大交换能量、最大σ-σ键序和双键数量8个参数,在此基础上应该多元线性回归和支持向量机方法建立QSPR模型。两种方法均得到了较好的结果,HM和SVM的交互检验的相关系数分别为0.90和0.93;通过对模型的稳定性和预测能力比较,SVM建立的QSAR模型能够更好地预测醛类化合物对大鼠急性毒性LD50。     

表面活性剂的QSAR/QSPR研究进展*

本文综述了表面活性剂定量结构-活性/性质相关(QSAR/QSPR)研究的最新进展,以及相关结构描述符在表面活性剂QSAR/QSPR研究中的应用.重点介绍了表面活性剂的cmc和表面张力γ与分子结构的定量关系、离子型表面活性剂电荷分布的定量计算及其对胶体结构与性质的影响.对表面活性剂分子结构与活性/性质的定量相关研究的发展趋势进行了展望.     

α-氨基酸在冠醚手性固定相上定量结构-对映体保留相关性的研究

运用量子化学中的Hartree-Fock程序(6-31G基组)方法计算质子化α-氨基酸溶质的分子结构参数,借助于多元线性回归法建立了α-氨基酸对映体在冠醚手性固定相上的色谱保留与其分子结构参数之间的定量结构-对映异构体保留(QSERR)模型.结果表明,α-氨基酸光学异构体的容量因子对数(logk′)与质子化α-氨基酸溶质的分子结构描述参数之间具有较好的线性相关性.在QSERR模型中,溶质结构描述参数EHOMO, DIP, ElcE, Ang和logP具有较为明确的物理意义,这些参数反映了固定相与溶质分子之间的静电作用、π-π作用力、色散力、立体位阻和疏水作用,能较好地解释α-氨基酸对映体在联萘冠醚CSP上保留机理.建立的QSERR模型具有较好的稳定性和预测能力.     

酚类污染物土壤吸收系数定量预测

本文将分子结构表征方法(MEDV)进行改进,得到按非氢原子间距离分类的分子电性距离矢量,将该矢量用于酚类化合物结构表征,并与其土壤吸收系数(lgKoc)建立定量结构与性质关系(QSPR)模型。利用逐步回归(SMR)得到的4变量模型复相关系数(R2)为0.970、标准偏差(SD)为0.198,留一法(LOO)交互校验(CV)预测值的复相关系数(R2cv)为0.916、标准偏差(SDcv)为0.337。结果表明该矢量具有较强的分子结构表达能力,模型具有良好的预测能力与稳定性。     

拓扑指数与烷烃色谱保留指数的定量相关研究

基于分子图论, 计算了64个链烷烃的一阶连接性指数(¹χ)和奇偶指数(OEI), 并对气相色谱保留指数进行定量结构-性质相关(QSPR)研究, 得到多元线性回归模型RI＝55.7631＋25.7317OEI＋111.4508¹χ (R²＝0.9960, RMS＝9.36, ARD＝1.02%). 交叉验证和预测结果表明, 所建立的QSPR模型具有良好的稳定性和预测能力. 与文献结果比较, 本文所用的参数少, 且计算简便.     

拓扑-量子指数醛酮气相色谱保留指数及沸点的定量构效关系

通过对醛酮化合物分子结构特征及其气相色谱保留指数(RI)和沸点与分子结构间关系的研究,提出了分子极化效应指数(MPEI)、奇偶指数(OEI)、立体效应指数(SVij)、顶点度-距离指数(VDI)及键连接矩阵特征根(∑X1CH)等拓扑-量子结构参数,用多元线性回归(MLR)方法获得了醛酮类化合物的沸点及其在不同极性色谱柱上的气相色谱保留指数与这些拓扑-量子指数间良好的定量结构-性质相关(QSPR)模型,相关系数均大于0.99。5个分子结构参数具有明确的物理化学意义且易于计算和运用。与文献研究的比较结果表明:由上述分子结构参数得出的模型方程适用于各类醛酮化合物的气相色谱保留指数及沸点的预测且具有较好的稳定性和准确性。     

R(-)四氢噻唑-2-硫酮-4-羧酸对D,L-氨基酸酯拆分的研究

以新手性拆分试剂R(-)四氢噻唑-2-硫酮-4-羧酸[简称R(-)TTCA]对D,L-氨基酸酯进行手性拆分,分别得到(R)TTCA氨基酸酯盐1a_1f([α]_D²⁰＝-30.40°～-42.70°)及光学活性氨基酸酯2a-2f,其光学纯度为35.4%～75.8%.由1a_1f在碱存在下分解出2a-2f的对映体3a-3f,光学纯度为39.50%～69.10%.用半经验的量子化学PM3方法研究了氨基的碱性、中间产物铵盐生成热和稳定性.     

Effect of chain length distribution on the phase behavior of polyglycerol fatty acid ester in water

The effect of the chain length distribution on the phase behavior, the structure of liquid crystals, and physicochemical properties was investigated in water/ polyglycerol fatty acid ester. Polyglycerol fatty acid esters with sharply distributed polyglycerol (10G*0.7L) and with broadly distributed polyglycerol (10G0.7L) were used. Unreacted polyglycerol in both surfactants was removed. 10G*0.7L forms hexagonal liquid crystals at a higher concentration than 10G0.7L. The effective cross-sectional area of the lipophilic parts in the hexagonal phase of 10G0.7L is smaller than that of 10G*0.7L owing to the difference in the chain length distribution. Evidently, 10G0.7L molecules are tightly packed in aggregates; therefore, 10G0.7L decreased the surface tension more strongly and promoted emulsification. Received: 11 January 2000 Accepted: 8 March 2000     

Development of chromatographic method for the determination of degree of polymerisation of polyglycerols and polyglycerol fatty acid esters

Summary From polyglycerol samples, pure standards of tri and tetraglycerol were obtained using a column chromatographic technique. Polyglycerols were derivatised to trimethyl silyl derivatives to obtain gas chromatographic identification of all linear, branched and cyclic diglycerol isomers and all linear and branched triglycerols. Moreover, quantitative gas chromatographic analysis of the di-, tri- and tetraglycerol content of a polyglycerol sample was developed. Finally a method to characterise, on a quantitative basis, the polyglycerol content of polyglycerol fatty acid esters was developed. It consisted of saponifying the esters, without affecting the degree of polymerisation of the polyglycerols, followed by gas chromatographic analysis of the isolated polyglycerol fraction.     

PREPARATION AND SURFACE PROPERTIES OF NEW SULFOSUCCINIC DERIVATIVES OF FATTY POLYGLYCEROL ESTERS

ABSTRACT

The purpose of this work was to prepare hydrophilic anionic derivatives of polyglycerol esters in order to obtain new surfactants, characterized by the cosmetologic compatibility of renewable raw materials and the mildness of the chosen target surfactants. The derivatization has been done by esterification between polyglycerol esters (PGE) and maleic anhydride (MA) followed by sulfonation at the double bond, by sodium sulfite, getting sulfosuccinic derivatives. Polyglycerol esters composed of fatty acids of C₁₂ to C₁₆ and polyglycerol with chain length of n=l?10 served as raw materials for a number of sulfosuccinates. The surface properties (cmc; surface excess concentration, γ; surface molecular area, A; effectiveness, π_cmc; efficiency, _pC₂₀ contact angle, θ; wetting time and foam performance) of the raw materials and their anionic derivatives have been measured. The relationships between the chemical structure and the surface properties of the new surfactants have been established. Higher π_cmc and better foaming performance but lower wetting power were obtained by increasing hydrophilic chain length, to n=6. Over this length an opposite trend was found. A linear relationship beween log cmc and hydrophobic chain length was determined. Optimization of surface properties was accomplished by optimizing maleation conditions.     

Combined liquid and gas chromatographic characterisation of polyglycerol fatty acid esters

In the present study a combined liquid and gas chromatographic technique is described for the analysis of polyglycerol fatty acid esters. Liquid chromatographic fractionation of samples resulted in pure standards of monoesters of di- and triglycerols and diesters of di- and triglycerols. Confirmation of their identity was achieved by LC-MS analysis. Moreover, a chromatographic identification of the mono- and diesters of cyclic diglycerol was proposed. From the isolation of pure esters and their gas chromatographic analysis, it was revealed that co-elution of several compounds occurred. Thus it was shown that prefractionation of the sample using a simplified liquid chromatographic separation, was necessary in order to characterise the esters correctly. In combination with some other chemical analyses, a complete profile of the chemical composition of polyglycerol fatty acid esters can be obtained.     

Structural Characterization and Retention Time Prediction for Components of Essential Oil of Meconopsis Integrifolia Flowers

A molecular structural characterization (MSC) method called reduced molecular electronegativity-distance vector (MEDVR) was used to describe the molecular structures of 55 components of meconopsis integrifolia flowers. By use of stepwise multiple regression (SMR) and partial least square (PLS) methods, a model with the correlation coefficient (R1) of 0.987 and the standard deviation (SD1) of 1.377 could be obtained. Then through multiple linear regression (MLR), another model with the correlation coefficient (R2) of 0.989 and standard deviation (SD2) of 1.395 could be constructed. Furthermore, in virtue of variable screening by the stepwise multiple regression technique (SMR), 8 vectors were selected to build up another model with its correlation coefficient (R3) and standard deviation (SD3) of 0.989 and 1.366, respectively. Then all the three models were evaluated by performing cross-validation with the leave-one-out (LOO) procedure, and the correlation coefficients (QCV) were 0.981, 0.976 and 0.979, respectively. The results show that the models constructed could provide estimation stability and favorable predictive ability.     

三维全息原子场作用矢量用于吡咯类抗艾滋病药物QSAR研究

采用三维全息原子场作用矢量(3D-HoVAIF)对32个吡咯类抗艾滋病药物进行结构参数化表征,并与其活性建立定量构效关系。分别采用多元线性回归(MLR)和偏最小二乘(PLS)进行建模,建模的复相关系数(R2cum)、交互校验复相关系数(Q2cum)和模型的标准偏差(SD)分别为R2cum=0.914、Q2cum=0.812、SD=0.236(MLR);R2cum=0.836、Q2cum=0.719、SD=0.314(PLS),结果均优于文献值(R2cum=0.667,Q2cum=0.581,SD=0.420)。所建模型具有良好的稳定性和预测能力,表明3D-HoVAIF能够较好地表征该类分子的结构,值得进一步推广应用。     

三维全息原子场作用矢量用于HEPT类抗艾滋病药物的QSAR研究

采用本实验室新近提出的三维全息原子场作用矢量表征34个1-[(2-羟乙氧)甲基]-6-苯硫基胸腺嘧啶(HEPT)类抗艾滋病药物结构并与其活性建立定量构效关系模型. 采用逐步回归对变量进行筛选后, 运用多元线性回归(multiple linear regression, MLR)建模的复相关系数(R2cum)、交互校验的复相关系数(Q2cum)和模型的标准偏差(SD)分别为R2cum=0.928、Q2cum=0.883与SD=0.43, 均优于Hancsh报道的值(R2cum=0.911、Q2cum=0.863与SD=0.45). 模型具有良好的稳定性和预测能力, 表明三维全息原子场作用矢量能较好表征该类分子结构信息, 值得进一步推广应用.     

吲哚酚衍生物的结构——式电位关系及电氧化机理

以半经验分子轨道方法计算吲哚酚衍生物的分子结构参数.以主因子分析法和多元线性回归法研究了吲哚酚衍生物的式电位与其分子结构参数间的关系.研究发现,在所选择的19个分子结构参数中,双中心电子交换能(E