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Estimation of surface tension of organic compounds using quantitative structure-property relationship

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成果类型:
期刊论文
作者:
Dai Yi-min;Liu You-nian*;Li Xun;Cao Zhong;Zhu Zhi-ping;...
通讯作者:
Liu You-nian
作者机构:
[Liu You-nian; Dai Yi-min] Cent S Univ, Sch Chem & Chem Engn, Changsha 410083, Peoples R China.
[Cao Zhong; Zhu Zhi-ping; Dai Yi-min; Li Xun; Yang Dao-wu] Changsha Univ Sci & Technol, Hunan Prov Key Lab Mat Protect Elect Power & Tran, Changsha 410004, Hunan, Peoples R China.
[Cao Zhong; Zhu Zhi-ping; Dai Yi-min; Li Xun; Yang Dao-wu] Changsha Univ Sci & Technol, Sch Chem & Biol Engn, Changsha 410004, Hunan, Peoples R China.
通讯机构:
[Liu You-nian] C
Cent S Univ, Sch Chem & Chem Engn, Changsha 410083, Peoples R China.
语种:
英文
关键词:
surface tension;quantitative structure-property relationship (QSPR);topological indice;organic compound
关键词(中文):
模型估计;定量结构;表面张力;性质;多元线性回归模型;有机物;不饱和化合物;有机化合物
期刊:
中南大学学报(英文版)
ISSN:
2095-2899
年:
2012
卷:
19
期:
1
页码:
93-100
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [20775010, 21075011]; National High Technology Research and Development Program of ChinaNational High Technology Research and Development Program of China [2008AA05Z405]; Hunan Provincial Natural Science Foundation, ChinaNatural Science Foundation of Hunan Province [09JJ3016]; Hunan Provincial Education Department, ChinaHunan Provincial Education Department [09C066]; Foundation of Hunan Provincial Key Laboratory of Materials Protection for Electric Power and Transportation, China [2010CL01]
机构署名:
本校为其他机构
院系归属:
化学与生物工程学院
摘要:
A novel quantitative structure-property relationship (QSPR) model for estimating the solution surface tension of 92 organic compounds at 20 °C was developed based on newly introduced atom-type topological indices. The data set contained non-polar and polar liquids, and saturated and unsaturated compounds. The regression analysis shows that excellent result is obtained with multiple linear regression. The predictive power of the proposed model was discussed using the leave-one-out (LOO) cross-validated (CV) method. The correlation coefficient (R) and the leave-one-out cross-validation corre...
摘要(中文):
为在 20 点估计 92 有机化合物的答案表面紧张的一个新奇量的结构性质关系(QSPR ) 模型 ? ㄠ ??? 洯ü

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