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Polychlorinated dibenzothiophenes(PCDTs) are classified as persistent organic pollutants in the environment,so the analysis of PCDTs by their gas chromatographic behaviors is of great significance.Quantitative structure-retention relationship(QSRR) analysis is a useful technique capable of relating chromatographic retention time to the molecular structure.In this paper,a QSRR study of 37 PCDTs was carried out by using molecular electronegativity distance vector(MEDV) descriptors and multiple linear regression(MLR) and partial least-squares regression(PLS) methods.The correlation coefficient R of established MLR,PLS models,leave-one-out(LOO) cross-validation(CV),Q2ext were 0.9951,0.9942,0.9839(MLR) and 0.9925,0.9915,0.9833(PLS),respectively.Results showed that the model exhibited excellent estimate capability for internal sample set and good predictive capability for external sample set.By using MEDV descriptors,the QSRR model can provide a simple and rapid way to predict the gas-chromatographic retention indices of polychlorinated dibenzothiophenes in conditions of lacking standard samples or poor experimental conditions.
Polychlorinated dibenzothiophenes (PCDTs) are classified as persistent organic pollutants in the environment, so the analysis of PCDTs by their gas chromatographic behaviors is of great significance. Quantitative structure-retention relationship (QSRR) analysis is a useful technique capable of relating chromatographic retention time to the molecular structure. in this paper, a QSRR study of 37 PCDTs was carried out by using molecular electronegativity distance vector (MEDV) descriptors and multiple linear regression (MLR) and partial least-squares regression (PLS) methods. established MLR, PLS models, leave-one-out (LOO) cross-validation (CV), Q2ext were 0.9951,0.9942,0.9839 (MLR) and 0.9925,0.9915,0.9833 (PLS), respectively. Results showed that the model exhibited excellent estimate capability for internal sample set and good predictive capability for external sample set.By using MEDV descriptors, the QSRR model can provide a simple and rapid way to predict the gas-chroma tographic retention indices of polychlorinated dibenzothiophenes in conditions of lacking standard samples or poor experimental conditions.