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

Authors: Lan, Tian; Kai-shun, Bi; Wen-jian, Sun; Shao-chun, Zhao; Guo-fang, Wu; Ying, Lu;

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

Abstract

To establish chemical pattern recognition method for the identification and evaluation of Atractylodes macrocephala.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.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.

Keywords

Quality Control, Plants, Medicinal, Cluster Analysis, Atractylodes, Chromatography, High Pressure Liquid, Rhizome, Pattern Recognition, Automated

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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