An accurate QSRR model for the prediction of the GCxGC-TOFMS retention time of polychlorinated biphenyl (PCB) congeners.
Quantitative structure-retention relationship (QSRR) models were constructed for the GCxGC-TOFMS retention time of 209 polychlorinated biphenyl (PCB) congeners. Principal component analysis (PCA) was used to recognize groups of samples with similar behavior and assist the separation of the data into training and test sets. The best multi-linear regression (BMLR) method was used for the systematic development of multi-linear regression equations; the best regression model involved four descriptors which were related to GCxGC-TOFMS chromatographic retention of PCBs. The obtained model has good predictive ability. For the test set, it gave a predictive correlation coefficient (R) of 0.988 and an average absolute relative deviation (AARD) of 3.08%. Results of a six-fold cross-validation procedure, which were in accordance with those from validation of training and test sets, demonstrated that this model was reliable. Additionally, this paper provides a simple, practical, and effective method for analytical chemists to predict the retention times of PCBs in GC.
Ren
Yueying
Y
Department of Chemistry, Lanzhou University, Lanzhou, 730000, China.
Liu
Huanxiang
H
Yao
Xiaojun
X
Liu
Mancang
M
D004785:Environmental Pollutants / Q000032:analysis* / Q000737:chemistry; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D016014:Linear Models; D008956:Models, Chemical; D011078:Polychlorinated Biphenyls / Q000032:analysis* / Q000737:chemistry; D011237:Predictive Value of Tests; D021281:Quantitative Structure-Activity Relationship; D013997:Time Factors
D004785:Environmental Pollutants; D011078:Polychlorinated Biphenyls