Predicting chromatographic retention time of C10-chlorinated paraffins in gas chromatography-mass spectrometry using quantitative structure retention relationship

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• 作者：Zhenzhen Xia (1)
  Wensheng Cai (1)
  Xueguang Shao (1)
  
  1. Collaborative Innovation Center of Chemical Science and Engineering(Tianjin) ; State Key Laboratory of Medicinal Chemical Biology ; Research Center for Analytical Sciences ; College of Chemistry ; Nankai University ; Tianjin ; 300071 ; P. R. China
  
• 关键词：Chlorinated paraffin ; Multivariate calibration ; Retention time ; Quantitative structure retention relationship
• 刊名：Chemical Research in Chinese Universities
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：31
• 期：2
• 页码：192-197
• 全文大小：455 KB
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• 刊物主题：Chemistry/Food Science, general; Analytical Chemistry; Inorganic Chemistry; Organic Chemistry; Physical Chemistry;
• 出版者：Springer Berlin Heidelberg
• ISSN：2210-3171

文摘

Chlorinated paraffins(CPs) are potential persistent organic pollutants(POPs), which threat the safety of environment and organisms. However, the analysis of CPs is a difficult task due to their complex composition containing thousands of congeners. In the present work, quantitative structure retention relationship(QSRR) of CPs was studied. A total of 470 molecular descriptors were generated, for describing the structures of 28 CPs and 12 descriptors relevant to retention time of the CPs were selected by stepwise regression. Then, QSRR models between retention time on the one hand and the selected descriptors on the other hand were established by multiple linear regression(MLR), partial least squares(PLS) and least square support vector regression(LS-SVR). The result shows that PLS model is better than MLR and LS-SVR, obtaining a squared correlation coefficient(r 2) of 0.9996 and a root mean squared error(RMSE) of 0.015. The PLS model was then used to predict the retention time of 49 C10-CPs. Three of them were investigated by gas chromatography coupled with mass spectrometry(GC-MS). A well-defined correlation was found between the measured retention time and the predicted value.