[Studies on quantitative structure-retention relationships for sulfides on stationary phases of different polarities].
Multiple linear regression (MLR) based on forward stepwise multiple regression techniques was used for predicting gas chromatographic retention index of sulfides after calculating their quantum-chemical parameters. The correlative quantitative model between the retention index (IR) of sulfides on four stationary phases of different polarities and their quantum chemical parameters was built. The results proved the strong predictive power of the models. The root-mean-square error (RMS) of the regression equation was less than 4%.
Wang
Ya-Wei
YW
College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.
Gao
Yu-Hong
YH
Yao
Xiao-Jun
XJ
Liu
Man-Cang
MC
Hu
Zhi-De
ZD
Fan
Bo-Tao
BT