Hologram QSAR study on the critical micelle concentration of Gemini surfactants

被引:21
|
作者
Jiao, Long [1 ]
Wang, Yuan [1 ]
Qu, Le [2 ,3 ]
Xue, Zhiwei [4 ]
Ge, Yiqing [5 ]
Liu, Huanhuan [1 ]
Lei, Bin [1 ]
Gao, Qian [1 ]
Li, Mengke [1 ]
机构
[1] Xian Shiyou Univ, Coll Chem & Chem Engn, Xian 710065, Shaanxi, Peoples R China
[2] Chendu Univ Technol, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu 610059, Peoples R China
[3] Xian Shiyou Univ, Shaanxi Cooperat Innovat Ctr Unconvent Oil & Gas, Xian 710065, Shaanxi, Peoples R China
[4] 203 Res Inst Nucl Ind, Xianyang 712000, Peoples R China
[5] Qingan Grp Co Ltd, Test & Environm Testing Ctr, Xian 710077, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Gemini surfactants; QSPR; HQSAR; Critical micelle concentration; STRUCTURE-PROPERTY RELATIONSHIP; ATOM ETA INDEXES; DIFFERENT VALIDATION CRITERIA; REAL EXTERNAL PREDICTIVITY; QUANTITATIVE STRUCTURE; ANIONIC SURFACTANTS; QSPR MODELS; MICELLIZATION; SPACER; PCDD/FS;
D O I
10.1016/j.colsurfa.2019.124226
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
A quantitative structure-property relationship (QSPR) study on the critical micelle concentration (CMC) of 120 Gemini surfactants was performed with hologram quantitative structure-activity relationship (HQSAR) technique. In the proposed HQSAR model, three fragment parameters, fragment distinction, fragment size and fragment length, were set to "A, B, C and D", "7-10" and "307" respectively. Two conventional validation techniques, external test set validation and leave-one-out cross-validation (LOO-CV), were utilized to evaluate the forecasting accuracy of as-proposed model. As the result, the Q(F3)(2), concordance correlation coefficient, root mean squared error, (r) over bar (2)(m) and Delta r(m)(2) of external test set validation is 0.9799, 0.9803, 0.1757, 0.9429 and 0.0100, respectively. The root mean squared error, (r) over bar (2)(m) and Delta r(m)(2) of LOO-CV is 0.2734, 0.9296 and 0.0436, respectively. It is demonstrated that the HQSAR model built in this work is available and accurate for preliminarily studying and predicting the CMC of Gemini surfactants. Moreover, HQSAR is shown to be a promising approach for building up QSPR model in relation to the CMC of Gemini surfactants.
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页数:8
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