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An atomic electronegative distance vector and carbon-13 nuclear magnetic resonance chemical shifts of alcohols and alkanes
Authors:LIU  Shu-She XIA  Zhi-Ning CAI  Shao-Xi LIU  YanLI  Zhi-Liang College of Bioengineering  Chongqing University  Chongqing  China Deportment of Applied Chemistry  Guilin Institute of Technology  Guilin  Guangxi  China College of Environmental and Chemical Engineering  Chongqing University  Chongqing  China
Institution:LIU,Shu-She XIA,Zhi-Ning CAI,Shao-Xi LIU,YanLI,Zhi-Liang College of Bioengineering,Chongqing University,Chongqing 400044,China Deportment of Applied Chemistry,Guilin Institute of Technology,Guilin,Guangxi 541004,China College of Environmental and Chemical Engineering,Chongqing University,Chongqing 400044,China
Abstract:A novel atomic electronegative distance vector (AEDV) has been developed to express the chemical environment of various chemically equivalent carbon atoms in alcohols and alkanes. Combining AEDV and Y parameter, four five-parameter linear relationship equations of chemical shift for four types of carbon atoms are created by using multiple linear regression. Correlation coefficients are R = 0.9887, 0.9972, 0.9978 and 0.9968 and roots of mean square error are RMS = 0.906, 0. 821, 1.091 and 1.091 of four types of carbons, i.e., type 1, 2, 3, and 4 for primary, secondary, tertiary, and quaternary carbons, respectively. The stability and prediction capacity for external samples of four models have been tested by cross-validation.
Keywords:Atomic electronegative distance vector (AEDV)  γ calibration  simulation of carbon‐13 nuclear magnetic resonance spectroscopy  alcohols and alkanes  molecular modelling
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