Semi-empirical topological method for prediction of the gas chromatographic relative retention times of Polybrominated Diphenyl Ethers (PBDEs)
- 159 Downloads
Quantitative structure-retention relationship (QSRR) studies have proved to be a valuable approach in the prediction of the gas chromatographic relative retention time (GC-RRT) of organic chemicals. Polybrominated diphenyl ether (PBDE) congeners are now ubiquitous environmental pollutants. Of the 209 possible PBDE congeners, 126 have been synthesized and their retention-time data on seven different stationary phases has been determined [Korytár et al.:J Chromatography A 1065:239–249, (2005)]. To estimate and predict the GC-RRT values of all 209 PBDEs on different stationary phases, 17 molecular descriptors from the semi-experience algorithm in MOPAC program and the topological structures of PBDE molecules were calculated. By means of the VSMP (variable selection and modeling based on prediction) program [Liu et al.:J Chem Inf Comput Sci 43:964–969, (2003)], six optimal descriptors were selected to develop a QSRR model for the prediction of GC-RRT of PBDE. The descriptors contain some energy information (such as the energy of the lowest unoccupied molecular orbital and highest occupied molecular orbital) and topological information (the number of ortho-, meta-, and para- substituted bromine atoms) as well as the molecular weight (lnM W ). All the models developed were cross-validated using leave-one-out (LOO). For seven GC stationary phases, the estimated correlation coefficients (r 2 ) are all more than 0.985 but for the column CP-Sil 19 (r 2 = 0.9392) and LOO-validated correlation coefficients (q 2 ) all more than 0.985 but for the column CP-Sil 19 (q 2 = 0.9345).
KeywordsPolybrominated diphenyl ethers (PBDEs) Relative retention time(RRT) Variable selection and modeling based on prediction (VSMP) QSRR
We are especially grateful to 973 program (No. 2003CB415002) and Shanghai Basic Research Program (No. 06JC14067) and the Foundation for the Author of National Excellent Doctoral Dissertation of P. R. China (No. 200355) and Guangxi Thousands of Talents Program (No. 2003208) for their financial supports.
- 15.Liu SS (2005) Structural characterization of organic compounds by the molecular electronegativity distance vector (MEDV). Chinese Higher Education Press, BeijingGoogle Scholar
- 16.Liu SS, Liu Y, Yin DQ, Wang LS (2005) Chin Chem Lett 16:1559–1662Google Scholar
- 19.Liu SS, Cui SH, Shi YY, Wang LS (2002) Internet Electron J Mol Des 1:610–619Google Scholar