Predicting chromatographic retention time of C10-chlorinated paraffins in gas chromatography-mass spectrometry using quantitative structure retention relationship
Tóm tắt
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.
Tài liệu tham khảo
Muir D. C. G., The Handbook of Environmental Chemistry, Springer-Verlag, Berlin, 2010, 244
Tomy G. T., Fisk A. T., Westmore J. B., Muir D. C. G., Rev. Environ. Contam. Toxicol., 1998, 158, 53
Lahaniatis M. R., Coelhan M., Parlar H., Organohalog. Compd., 2000, 47, 276
Wang X. T., Zhang Y., Miao Y., Ma L. L., Li Y. C., Chang Y. Y., Wu M. H., Environ. Sci. Pollut. Res., 2013, 20, 4742
Sverko E., Tomy G. T., Marvin C. H., Muir D. C. G., Environ. Sci. Technol., 2012, 46, 4697
Reth M., Kypke K., Schachtele J., Oehme M., Organohalogen. Compd., 2005, 67, 1671
Thomas G. O., Farrar D., Braekevelt E., Stern G., Kalantzi O. I., Martin F. L., Jones K. C., Environ. Inter., 2006, 32, 34
Reth M., Oehme M., Anal. Bioanal. Chem., 2004, 378, 1741
Pellizzato F., Ricci M., Held A., Emons H., Bohmer W., Geiss S., Iozza S., Mais S., Petersen M., Lepom P., Trends Anal. Chem., 2009, 28, 1029
Chen L. G., Huang Y. M., Han S., Feng Y. B., Jiang G., Tang C. M., Ye Z. X., Zhan W., Liu M., Zhang S. K., J. Chromatogr. A, 2013, 1274, 36
Zencak Z., Reth M., Oehme M., Anal. Chem., 2004, 76, 1957
Coelhan M., Anal. Chem., 1999, 71, 4498
Castells P., Santos F. J., Galceran M. T., Rapid Commun. Mass Spectrom., 2004, 18, 529
Zencak Z., Borgen A., Reth M., J. Chromatogr. A, 2005, 1067, 295
Coquery M., Morin A., Becue A., Lepot B., Trends Anal. Chem., 2005, 24, 117
Kaliszan R., Quantitative Structure-Chromatographic Retention Relationships, Wiley, New York, 1987, 566
Kaliszan R., Chem. Rev., 2007, 107, 3212
D’Archivio A. A., Giannitto A., Maggi M. A., J. Chromatogr. A, 2013, 1298, 118
Rayne S., Ikonomou M. G., J. Chromatogr. A, 2003, 1016, 235
Miller T. H., Musenga A., Cowan D. A., Barron L. P., Anal. Chem., 2013, 85, 10330
Creek D. J., Jankevics A., Breitling R., Watson D. G., Barrett M. P., Burgess K. E. V., Anal. Chem., 2011, 83, 8703
Heberger K., J. Chromatogr. A, 2007, 1158, 273
Coelhan M., Fresen. Environ. Bull., 2003, 5, 442
Kennard R. W., Stone L. A., Technometrics, 1969, 11, 137
Chemdraw, Cambriagesoft Corporation, USA, 1985–2003
Hyperchem, Hypercube, Inc., 2002, http://www.hyper.com/
Todeschini R., Consonni V., Mauri A., Pavan M., Srl T., Milan, 2005, 1, http://www.talete.mi.it/
Darlington R. B., Regression and Linear Models, McGrawHill, New York, 1990, 138