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Studies of antioxidant performance of amine additives in lubricating oil using 3D-QSAR

Authors :
Meng Hua
Jian Li
Haitao Duan
Hongfei Shang
Jiesong Tu
Yongliang Jin
Dan Jia
Haiping Xu
Shengpeng Zhan
Source :
Science China Technological Sciences. 60:299-305
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Available model of 3D-quantitative structure-activity relationship (3D-QSAR, the method of TopomerCoMFA) has been used to establish relationship between antioxidant performances of lubricating oil (trimethylolpropane trioleate, TMPTO) with 15 kinds of amine additives and its molecular structure. Correlation coefficient of the cross-validation (include internal q 2 and external q pred 2 ) and conventional correlation coefficient showed the model to be both stable and good predictive. The electron-donating group and larger steric effects group are adopted at the para-position or meta-position of amido on the benzene ring, and suitably decreasing the branch chain near the para-position, these indicate that the antioxidant performance of amine additives can be enhanced. The results not only can help us understanding the rule of antioxidant performance, but also providing guidance(s) to predict antioxidant performance of existing amine additives and to design or modify new amine additives in lubricating oil.

Details

ISSN :
18691900 and 16747321
Volume :
60
Database :
OpenAIRE
Journal :
Science China Technological Sciences
Accession number :
edsair.doi...........80a9b23b0bea42d22f35f28d109f06ec
Full Text :
https://doi.org/10.1007/s11431-016-0560-9