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分子电距矢量对山矾花中头香成分气相色谱保留时间的估计和预测 被引量:3

Estimation and Prediction of Gas Chromatography Retention Time of Components Separated from Symplocos Sumunlia through MEDV
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摘要 用分子电距矢量(MEDV)描述子对22个从山矾花中分离出的头香成分的分子进行结构表征,对MEDV矢量和其气相色谱保留时间之间建立了定量结构-色谱保留值关系。线性回归10参数模型的复相关系数R达到了0 972,逐步回归5参数模型复相关系数R为0 952,交互检验的相关系数RCV值为0 882,表明模型对样本具有较好的稳定性能和预测能力。 The MEDV (vector of molecular electronegativity distance) descriptors are used to characterize the structures of 22 compounds separated from Symplocos sumunlia.The descriptor are employed to establish the quantitative relationship models with respect to the retention time of the examined 22 compounds in gas chromatography.The correlation coefficient of the ten-variable model obtained from MLR (multiple linear regression) is 0.972,and that of the 5-variable model obtained from SMR (stepwise multiple regression) is 0.952.The value of cross-validation R_(CV) in LOO (leave-one-out) is 0.882.The results show that the constructed models are provided with good estimation stability and favorable predictive ability.
出处 《精细化工》 EI CAS CSCD 北大核心 2004年第4期273-278,共6页 Fine Chemicals
基金 霍英东基金[98] 国家"春晖计划"教育部启动基金[99-1-4/38] 重庆应用基础[01-3-6] 重庆大学创新基金[03-5-8]资助项目
关键词 分子电距矢量 山矾花 头香成分 定量结构-色谱保留值关系 vector of molecular electronegativity distance Symplocos sumunlia vapourable component quantitative structure-retention relationship
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  • 1罗心毅,辛克敏,洪江.山矾花精油化学成分的研究[J].广西植物,1994,14(1):90-93. 被引量:9
  • 2Yin C,Chin J Chem,1999年,17卷,155页
  • 3Liu S,J Chem of Inf Comput Sci,1999年,39卷,951页
  • 4Liu S,Chem Hong Kong,1998年,2期,113页
  • 5Liu S,J Chem Inf Comput Sci,1998年,38卷,378页
  • 6Needhan D E,J Am Chem Soc,1988年,110卷,4186页
  • 7Yin C,Chin J Chem,1999年,17卷,2期,127页
  • 8Liu S,Chin J Chem,1998年,16卷,2期,126页
  • 9Kang J,J Chromatogr,1998年,799卷,2期,361页
  • 10Cao C,JMagReson,1998年,15卷,4期,347页

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  • 1李美萍,芦飞,仝建波,刘淑玲,王东新,乔洁,张生万.羰基化合物结构参数与其^(13)C NMR谱化学位移的关系[J].化学通报,2004,67(10):778-782. 被引量:7
  • 2胡新根,林瑞森,宗汉兴.苯甲酸乙酯皂化反应的溶剂效应和活化热力学性质研究[J].化学学报,1996,54(11):1060-1064. 被引量:11
  • 3胡宏纹.有机化学[M].北京:高等教育出版社,1995..
  • 4Ning Yong-cheng(宁永成).StructureIdentifying of Organic Compound and Organic Spectroscopy(有机化合物结构鉴定与有机波谱学)[M].北京:科学出版社,2000.1-2.
  • 5Meiler J,Meusinger R,Will M.Fast Determination of 13C NMR Chemical Shifts Using Artificial Neural Networks[J].J Chem Inf Comput Sci,2000,40:1 169-1 176.
  • 6Jaramillo J C P,Velazco D R M,Baldrich C.Semiquantitative Analysis of Thiophenic Compounds in Light Cycle Oil (LCO) Using 13C NMR Spectroscopy[J].Fuel,2004,83:337-342.
  • 7Rufino A R,Brant A J C,Santos J B O,et al.Simple Method for Identification of Skeletons of Aporphine Alkaloids from 13C NMR Data Using Artificial Neural Networks[J].J Chem Inf Model,2005,453(3):645-651.
  • 8Tenailleau E J,Lancelin P,Robins R J,et al.Authentication of the Origin of Vanillin Using Quantitative Natural Abundance 13C NMR[J].J Agric Food Chem,2004,52:7 782-7 787.
  • 9Benzi C,Cossi M,Barone V,et al.A Combined Theoretical and Experimental Approach to Determing Order Parameters of Solutes in Liquid Crystals from 13C NMR Data[J].J Phys Chem B,2005,109:2 584-2 590.
  • 10Witkowski S,Maciejewska D,Wawer I.13C NMR Studies of Conformational Dynamics in 2,2,5,7,8 -pentameth-ylchroman-6-ol Derivatives in Solution and the Solid State[J].J Chem Soc Perkin Trans 2,2000,1 471-1 476.

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