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新型拓扑电负性指数模拟烃类物质闪点的标度
引用本文:戴益民,李浔,曹忠,杨道武,黄可龙. 新型拓扑电负性指数模拟烃类物质闪点的标度[J]. 化工学报, 2009, 60(10): 2420-2425
作者姓名:戴益民  李浔  曹忠  杨道武  黄可龙
作者单位:长沙理工大学化学与生物工程学院,湖南,长沙,410004;中南大学化学化工学院,湖南,长沙,410083;湖南省电力与交通材料保护重点实验室,湖南,长沙,410004;长沙理工大学化学与生物工程学院,湖南,长沙,410004;湖南省电力与交通材料保护重点实验室,湖南,长沙,410004;中南大学化学化工学院,湖南,长沙,410083
基金项目:国家自然科学基金,国家高技术研究发展计划(863计划),湖南省自然科学基金,湖南省科技攻关项目,湖南省教育厅科学研究基金 
摘    要:在距离矩阵的基础上采用原子的平衡电负性和相对键长校正含有多重键的化合物提出了两个新颖的拓扑电负性指数YC、WC,结合路径数P3对92个碳氢化合物的局部化学微环境进行结构表征,并对化合物的闪点进行了QSPR研究。采用线性回归得到模型的复相关系数R和标准偏差S分别为0.9924和5.1799,模型实验值与计算值的平均绝对误差仅3.86K,相对误差1.46%。同时采用内部及外部双重验证的办法对所建模型进行检验,留一法(LOO)检验和训练集、检验集闪点的预测值和实验值较为吻合,结果表明模型具有良好的内部稳定性和外部预测能力。

关 键 词:烃类物质  闪点  拓扑电负性指数  路径数  定量结构-性质关系
收稿时间:2009-04-10
修稿时间:2009-7-2 

Modeling flash point scale of hydrocarbon by novel topological electro-negativity indices
DAI Yimin,LI Xun,CAO Zhong,YANG Daowu,HUANG Kelong. Modeling flash point scale of hydrocarbon by novel topological electro-negativity indices[J]. Journal of Chemical Industry and Engineering(China), 2009, 60(10): 2420-2425
Authors:DAI Yimin  LI Xun  CAO Zhong  YANG Daowu  HUANG Kelong
Abstract:Two novel topological electro-negativity indices based on distance matrix,named YC and WC indices,were proposed to be used for modeling properties of multiple bond organic compounds by equilibrium electro-negativity of atom and relative bond length of molecule.A quantitative structural property relationship (QSPR) model for estimating flash point of 92 compounds was developed based on the newly introduced topological electro negativity indices YC and WC and path number parameter P3.The model correlation coefficient and standard error for training set in multiple linear regression were 0.9923 and 5.28,respectively.The average absolute error of flash point was only 3.86 K between experimental and calculated values,and the relative error was 1.46%.Furthermore,the model was strictly tested by both internal and external validations.The predicted values were in good agreement with experimental values for leave one out (LOO), and the training set and validation set.The results show that this QSPR model is of good stability and powerful prediction ability.
Keywords:hydrocarbon  flash point  topological electro-negativity indices  path number  quantitative structure-property relationship
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