Literature DB >> 26767300

[Pattern Recognition Analysis for Quality Control of Jia Ga Song Tang by GC-MS].

Qing-long Tan, Tian-qin Xiong, Li-xia Xie, Jia-yi Liao, Tao Yang, Xi Lin, Cui-xian Zhang.   

Abstract

OBJECTIVE: To establish a scientific method for identitication and evaluation of the Tibetan prescription Jia Ga Song Tang.
METHODS: Volatile oil was extracted by water steam distillation and analyzed by GC-MS. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied to the samples for chemical fingerprint pattern recognition research.
RESULTS: 16 samples according to hierarchical cluster analysis (HCA) and principal component analysis (PCA) were divided into two classes, and results from two recognition analysis methods had good consistency.
CONCLUSION: GC-MS-pattern recognition method was a kind of scientific, accurate and effective method for the quality evaluation of Jia Ga Song Tang.

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Year:  2015        PMID: 26767300

Source DB:  PubMed          Journal:  Zhong Yao Cai        ISSN: 1001-4454


  1 in total

1.  Jia-ga-song-tang protection against alcoholic liver and intestinal damage.

Authors:  Jiamin Fang; Yuhuan Wu; Changlian Gan; Shufang Ruan; Xiaoliang He; Bixia Wang; Ying Wang; Jingtao Yu; Chuanlan Sang; Dawa Zeren; Tianqin Xiong
Journal:  Front Pharmacol       Date:  2022-09-26       Impact factor: 5.988

  1 in total

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