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三维演进特征投影图及其量化方法识别联用色谱数据中选择性区域
引用本文:亓云鹏,吴玉田,柴逸峰,李通化,范国荣,陆峰.三维演进特征投影图及其量化方法识别联用色谱数据中选择性区域[J].高等学校化学学报,2004,25(10):1825-1829.
作者姓名:亓云鹏  吴玉田  柴逸峰  李通化  范国荣  陆峰
作者单位:1. 第二军医大学药学院药物分析教研室, 上海200433; 2. 同济大学化学系, 上海200092
基金项目:军队“十五”重点课题 (批准号 :0 1Z0 64 ),第二军医大学药学院“青年人才启动基金”资助
摘    要:提出三维演进特征投影图(3D-LPG)和定量识别三维LPG上直线段的方法,即T-图法,并采用上述方法对模拟体系和实验体系进行了解析.结果表明,三维LPG可提供比二维LPG更丰富的信息,当组分的光谱非常相似时,只有三维LPG才能正确地显示出重叠色谱峰中选择性区域的范围;同时,T-图法可准确地指示出三维LPG上直线段区域的所在范围,从而可正确识别出体系的选择性区域,为复杂体系中重叠色谱峰的成功解析提供了保证.

关 键 词:联用色谱  选择性区域  三维  演进特征投影图  HELP  
文章编号:0251-0790(2004)10-1825-05
收稿时间:2003-07-08

Identification of Selective Regions in Overlapping Hyphenated Chromatographic Data Using Three-dimensional Latent Projective Graph(3D-LPG) and Chemometric Technique
QI Yun-Peng ,WU Yu-Tian ,CHAI Yi-Feng ,LI Tong-Hua ,FAN Guo-Rong ,LU Feng.Identification of Selective Regions in Overlapping Hyphenated Chromatographic Data Using Three-dimensional Latent Projective Graph(3D-LPG) and Chemometric Technique[J].Chemical Research In Chinese Universities,2004,25(10):1825-1829.
Authors:QI Yun-Peng  WU Yu-Tian  CHAI Yi-Feng  LI Tong-Hua  FAN Guo-Rong  LU Feng
Institution:1. Department of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai 200433, China; 2. Department of Chemistry, Tongji University, Shanghai 200092, China
Abstract:Selective regions of the overlapping hyphenated chromatographic data are crucial for the resolution via chemometric methods. The latent projective graph(LPG) is the common technique for identifying the selective regions, in which the selective regions are revealed by the appearance of sequences of consecutive points mapping as segments of straight lines. However, according to our results, the straight lines in the LPG of the system comprising some closely eluting components with fairly similar spectra may not always necessarily correspond to the real selective regions. In this work, three-dimensional LPG(3D-LPG) was developed, and a new chemometric technique T-plot was proposed to identify the linear segments of 3D-LPG corresponding to the selective regions. The performance and efficiency of the proposed methods were illustrated on both the simulated and experimental data, and the results show that the 3D-LPG can provide much more information and deeper insights into the structure of the data, outperforming the present 2D version in revealing the selective regions when the spectra of some coeluting components are quite similar. Moreover, T-plot is proved to be effective in identifying the linear segments in 3D-LPG.
Keywords:Hyphenated chromatography  Selective region  Three-dimension  Latent projective graph  HELP
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