多糖水解成分GC-MS指纹图谱与寒热药性的多元统计分析

冯帅; 刘杨; 王晓燕; 李峰

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多糖水解成分GC-MS指纹图谱与寒热药性的多元统计分析

化学与分析 | 更新时间：2024-09-23

- 多糖水解成分GC-MS指纹图谱与寒热药性的多元统计分析
- Application of Multivariate Statistical Analysis in Correlation between GC-MS Chromatograms of Polysaccharide Hydrolysis Composition Acetylation and Cold-heat Nature of Traditional Chinese Medicine
- 中国实验方剂学杂志 2013年19卷第9期页码：143-146
- 作者机构：
  
  山东中医药大学
- 作者简介：
- 基金信息：
  
  国家重点基础研究发展计划（“973”计划）项目（2007CB512601）
- DOI：
  中图分类号： R284.1
- 纸质出版日期：2013
- 稿件说明：
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[1]冯帅,刘杨,王晓燕,李峰.多糖水解成分GC-MS指纹图谱与寒热药性的多元统计分析[J].中国实验方剂学杂志,2013,19(09):143-146.

FENG Shuai, LIU Yang, WANG Xiao-yan, et al. Application of Multivariate Statistical Analysis in Correlation between GC-MS Chromatograms of Polysaccharide Hydrolysis Composition Acetylation and Cold-heat Nature of Traditional Chinese Medicine[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(9): 143-146.
[1]冯帅,刘杨,王晓燕,李峰.多糖水解成分GC-MS指纹图谱与寒热药性的多元统计分析[J].中国实验方剂学杂志,2013,19(09):143-146. DOI：

FENG Shuai, LIU Yang, WANG Xiao-yan, et al. Application of Multivariate Statistical Analysis in Correlation between GC-MS Chromatograms of Polysaccharide Hydrolysis Composition Acetylation and Cold-heat Nature of Traditional Chinese Medicine[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(9): 143-146. DOI：

摘要

目的:初步探讨多糖水解成分乙酰化气相色谱-质普联用（GC-MS）指纹图谱与寒热药性的相关性。方法:测定60种中药多糖水解物乙酰化GC-MS图谱

筛选最适统计识别模型

以最佳模型识别多糖乙酰化GC-MS图谱寒热表征。结果:确定了偏最小二乘判别分析（PLS-DA）为最佳模型

得出多糖水解物乙酰化GC-MS的寒性标记所对应的保留时间为3.489

3.557

3.695

3.849

3.986

6.047

6.132

6.241

6.510

6.836

7.294

12.564 min;热性标记所对应的保留时间为3.861

3.929

5.526

6.006

6.269

6.516

6.842

7.397

10.778 min。结论:多糖成分与寒热药性存在明显的相关性。

Abstract

Objective:To study correlation between the GC-MS chromatograms of polysaccharide and Cold-Heat nature of traditional Chinese medicine（TCM）.Method: The polysaccharide hydrolysis composition acetylation GC-MS fingerprints of 30 kinds of hot herbs and 30 kinds of cold herbs were determined.Cold-hot medicine property（CHMP） markers were determined by the best discriminant model.Result: The best statistical identification model for GC-MS of polysaccharide hydrolysis composition acetylation was PLS-DA.The corresponding cold nature retention time was 3.489

3.529

3.557

3.695

3.849

3.986

6.047

6.132

6.241

6.510

6.836

7.294

12.564 min.The corresponding hot nature retention time was 3.523

3.861

3.929

5.526

6.006

6.269

6.516

6.562

6.842

7.397

10.778

10.784 min.Conclusion: There is relationship between the GC-MS chromatograms of polysaccharide hydrolysis composition acetylation and Cold-heat nature of TCM.

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