Quality assessment of ginseng by chemical fuzzy pattern recognition

K. S. Bi, Xiao-Ming Wang, X. Luo

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Water and liquor extracts of ginseng simulating its habitual preparations used in the practice of traditional Chinese medical science were prepared from 25 samples, and data reflecting its chemical constituents as a whole were obtained by ultraviolet and visible spectrophotometry (UV-Vis), high performance liquid chromatography (HPLC), and emission spectroscopy with inductively coupled plasma source (ICP). Antifatigue, antidiuretic, and macrophage phagocytosis experiments were carried out to determine the pharmacologic actions of the extracts. Results obtained with the extracts on mice were compared mutually and with those obtained on placebo-treated ones in the respective pharmacologic experiments. Based on the results of the three pharmacologic experiments, features were selected from among the chemical data and fuzzy equations formulated hereby were solved to ascertain the effective constituents with different weights and their compatibility. Finally, correlation analysis was carried out, and a new scheme for the quality assessment of ginseng has been worked out. The methodology proposed is of general significance to the formulation of quality assessment schemes for Chinese traditional medicines and the ascertainment of their bioactive constituents.

Original languageEnglish (US)
Pages (from-to)48-51
Number of pages4
JournalActa Pharmaceutica Sinica
Volume27
Issue number1
StatePublished - 1992
Externally publishedYes

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Panax
Ultraviolet Spectrophotometry
Pharmacologic Actions
Chinese Traditional Medicine
Phagocytosis
Spectrum Analysis
Macrophages
High Pressure Liquid Chromatography
Placebos
Weights and Measures
Water

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Quality assessment of ginseng by chemical fuzzy pattern recognition. / Bi, K. S.; Wang, Xiao-Ming; Luo, X.

In: Acta Pharmaceutica Sinica, Vol. 27, No. 1, 1992, p. 48-51.

Research output: Contribution to journalArticle

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