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An atomic electronegative distance vector and carbon-13 nuclear magnetic resonance chemical shifts of alcohols and alkanes 被引量:4
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作者 刘树深 夏之宁 +2 位作者 蔡绍皙 刘堰 李志良 《Chinese Journal of Chemistry》 SCIE CAS CSCD 2000年第2期165-174,共10页
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 γ parameter, four... 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 γ parameter, four five-parameter linear relationship equations of chemical shift for four types of carbon atom are created by using multiple linear regression. Correlation coefficients are R = 0.9887, 0.9972, 0.9918 and 0.9968 end 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. 展开更多
关键词 atomic electronegative distance vector (AEDV) γ calibration simulation of carbon-13 nuclear magnetic resonance spectroscopy alcohols and alkanes molecular modelling
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