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Based on the relationship between the quantitative structure and property(QSPR) of organic compounds, the surface electrostatic potential parameters of 29 polychlorinated diphenyl sulfides(PCDPSs) with experimental values were calculated and extracted, and Multiple Linear Regression(MLR) was used to model the linear relationship between the physicochemical properties(octanol/water partition coefficient, high performance liquid chromatography capacity factor) and molecular structure parameters of PCDPSs. The result shows that the main factors that affect the n-octanol/water partition coefficient and high performance liquid chromatography capacity factor are respectively the number of chlorin atoms substituted on the benzene ring(NCl) and the lowest unoccupied molecular orbital energy(ELUMO). Secondly, there are also molecular surface electrostatic potentials. This indicates that the molecular surface electrostatic potentials can effectively express the quantitative relationship between the physicochemical properties of PCDPSs and their molecule descriptions. The QSPR models established have strong stability and predictive ability. This also has proved the applicability of molecular surface electrostatic potential parameters in QSPR of PCDPSs.
Based on the relationship between the quantitative structure and property (QSPR) of organic compounds, the surface electrostatic potential parameters of 29 polychlorinated diphenyl sulfides (PCDPSs) with experimental values were calculated and extracted, and Multiple Linear Regression (MLR) was used to model the linear relationship between the physicochemical properties (octanol / water partition coefficient, high performance liquid chromatography capacity factor) and molecular structure parameters of PCDPSs. The result shows that the main factors that affect the n-octanol / water partition coefficient and high performance liquid chromatography capacity factor are respectively the number of chlorin atoms substituted on the benzene ring (NCl) and the lowest unoccupied molecular orbital energy (ELUMO). Secondly, there are also molecular surface electrostatic potentials. This indicates that the molecular surface electrostatic potentials can express express the quantitative relationship between the physicochemical properties of PCDPSs and their molecule descriptions. The QSPR models established have strong stability and predictive ability. This also has proved the applicability of molecular surface electrostatic potential parameters in QSPR of PCDPSs.