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鱼腥草挥发性成分的定量结构与保留指数相关性研究
引用本文:堵锡华,陈 艳,岳 玮.鱼腥草挥发性成分的定量结构与保留指数相关性研究[J].食品科学,2010,31(22):357-360.
作者姓名:堵锡华  陈 艳  岳 玮
作者单位:徐州工程学院化学化工学院
基金项目:江苏省高校自然科学研究项目(09KJD150012);江苏省青蓝工程科研基金项目(QL20072); 徐州市科技计划研究项目(XM08C015)
摘    要:为研究鱼腥草挥发性成分的构效关系,采用分子连接性指数、分子形状指数和电性拓扑态指数表征鱼腥草挥发性成分的分子结构,用多元线性回归/ 逐步回归对模型变量进行筛选,建立定量结构- 保留相关性模型,基于多元回归获得对鱼腥草挥发性成分的保留指数(RI)作出精确估算的保留相关模型,得到回归方程的相关系数达到0.991。利用留一法检验模型稳定性和预测能力,检验的相关系数均在0.99 以上,结果表明,分子连接性指数、分子形状指数和电性拓扑态指数能合理和有效的表征鱼腥草挥发性成分的保留指数。

关 键 词:鱼腥草  保留指数  挥发性成分  定量结构-  保留相关性  
收稿时间:2010-08-12

Quantitative Relationship Between Molecular Structure and Retention Index of Volatile Compounds from Houttuynia cordata Thunb
DU Xi-hua,CHEN Yan,YUE Wei.Quantitative Relationship Between Molecular Structure and Retention Index of Volatile Compounds from Houttuynia cordata Thunb[J].Food Science,2010,31(22):357-360.
Authors:DU Xi-hua  CHEN Yan  YUE Wei
Affiliation:School of Chemistry and Chemical Engineering, Xuzhou Institute of Technology, Xuzhou 221008, China
Abstract:The quantitative structure-retention index relationships (QSRR) of 56 volatile compounds in Houttuynia cordata Thunb were studied, using molecular connectivity indices, molecular shape indices and the electrotopological state indices to describe the chemical structure of the volatile compounds. Various multiple linear regression models were established with variable screening by the stepwise multiple regression technique and statistics. QSRR for estimating retention index (RI)of volatile compounds in Houttuynia cordata Thunb were achieved based on multiple regression, and the regression equations were proposed with the correlation coefficient 0.991. In order to test the stability and prediction ability of the model, the leave-oneout procedure was performed and good results (R > 0.99)were obtained. These results indicate that molecular connectivity indices, molecular shape indices and the electrotopological state indices have good rationality and efficiency for attribute RI of volatile compounds of Houttuynia cordata Thunb.
Keywords:Houttuynia cordata Thunb  retention index  volatile compounds  QSRR  
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