Literature DB >> 15015289

[Chemical pattern recognition in the Rhizoma of Atractylodes macrocephala].

Lan Tian1, Kai-shun Bi, Wen-jian Sun, Shao-chun Zhao, Guo-fang Wu, Ying Lu.   

Abstract

OBJECTIVE: To establish chemical pattern recognition method for the identification and evaluation of Atractylodes macrocephala.
METHOD: The chemical constituents in methanol extract of 32 samples of A. macrocephala were determined by HPLC. The fingerprints were obtained and were handled by hierarchical clustering analysis and stepwise discriminant analysis. RESULT AND
CONCLUSION: According to the result of classification, all samples collected were devided into three Grades--the superior, the ordinary and the fake. Chemical pattern recognition method was established. It may be of practical value for the quality control of A. macrocephala.

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Mesh:

Year:  2003        PMID: 15015289

Source DB:  PubMed          Journal:  Zhongguo Zhong Yao Za Zhi        ISSN: 1001-5302


  2 in total

1.  Study on chemical fingerprinting of crude and processed Atractylodes macrocephala from different locations in Zhejiang province by reversed-phase high-performance liquid chromatography coupled with hierarchical cluster analysis.

Authors:  Hao Cai; Zhiwei Xu; Sucai Luo; Wenwen Zhang; Gang Cao; Xiao Liu; Yajing Lou; Xiaoqing Ma; Kunming Qin; Baochang Cai
Journal:  Pharmacogn Mag       Date:  2012-10       Impact factor: 1.085

2.  Evaluation of Medicinal Categorization of Atractylodes japonica Koidz. by Using Internal Transcribed Spacer Sequencing Analysis and HPLC Fingerprinting Combined with Statistical Tools.

Authors:  Jung-Hoon Kim; Eui-Jeong Doh; Guemsan Lee
Journal:  Evid Based Complement Alternat Med       Date:  2016-04-12       Impact factor: 2.629

  2 in total

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