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The Proton Nuclear Magnetic Resonance-Pattern Recognition Research Of Shengmai Capsules And The Study Of Chemical Constituents From Ardisia Mamillata HANCE

Posted on:2008-02-23Degree:MasterType:Thesis
Country:ChinaCandidate:Z H MaFull Text:PDF
GTID:2144360218460158Subject:Natural medicinal chemistry
Abstract/Summary:PDF Full Text Request
Chinese medicine, the treasure of Chinese nation, is the most important component of Chinese excellent history,culture and modern civilization. In the Modern Chinese medicine industrialization process, the standardization of Chinese medicine quality is an important prerequisite for Chinese medicine modernization. At present, China has developed national standards, ministerial standards, local standards and enterprise standards. Although the level of standards than previous has greatly increased, the quality standards are not quite perfect, failed to meet the market demand. Therefore, it has very important significance for Chinese medicine Modernization to research and establish a method that can fully reflect the quality of Chinese medicine. It becomes the inevitable trend that Chinese medicine quality control is from a single component of the "micro-analysis" to the composition of the group "macroeconomic analysis". Comprehensive evaluation of Chinese medicine quality becomes the objective requirements of quality control. Under these circumstances, the fingerprints of traditional Chinese medicine have been set up. ~1H-NMR technology, a highly reliable, rapid, nondestructive analytical technique, is fit for the application on the research and establishment of the fingerprints. After digitization of fingerprints, it can make the maximum extraction of fingerprints information for the classification and quality analysis of Chinese medicine by using pattern recognition technology.This dissertation consists of three parts. The first part deals with the proton nuclear magnetic resonance-pattern recognition research of Shengmai Capsules. In my studying, a new method that could rapidly classify Chinese medicine origin and assess the medicine quality was established by using ~1H-NMR technology and pattern recognition technology. Using single medicine of Shengmai Capsules and Shengmai Capsules as study objects, the exploration was conducted by this method. As a result, the classification of ophiopogon from different areas was achieved; the quality of ophiopogon from different areas was given; the quality of different batches of medicine (ginseng, schisandra and Shengmai Capsules) was given.The second part of the dissertation reported the study of chemical constituents from Ardisia mamillata HANCE (Myrsinaceae), which was a widely occurring shrub in southern China. The plants of this genus have been used to treat respiratory tract infection and menstrual disorders in traditional Chinese medicine. Previous chemical studies have shown that saponins, benzoquinones, phenols, coumarins, flavonoids, gallic acids, fatty compounds, cyclic peptides and steroids were isolated from this genus. Triterpenoids saponins obtained from A. mamillata have been isolated and characterized. In my studying, the smaller polar chemical constituents were isolated and elucidated from A. mamillata.Eighteen compounds were isolated from the ethanol extract of A. mamillata, through repeating silica gel, Sephadex LH-20 column chromatography and polyamide column chromatography. The structures of eighteen compounds were elucidated by the spectral data and chemical evidences. Although the compounds were known compounds, 16 compounds were got from this plant for the first time and 10 compounds were got from this genus for the first time.Part III is a review about the research of ~1H-NMR technique applied in the metabonomics. The article summarizes the progress of the metabonomics, research methods, the application and prospects. It makes a good preparation for the dissertation research.
Keywords/Search Tags:~1H-NMR, fingerprints, pattern recognition, Shangmai Caupsules, Ardisia mamillata, Myrsinaceae, chemical constituents, metabonomics
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