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Quantitative Methodology On The Quality Assessment And Functional Regionalization Evaluation Of Notopterygii Rhizoma Et Radix

Posted on:2017-02-23Degree:MasterType:Thesis
Country:ChinaCandidate:H B SunFull Text:PDF
GTID:2283330503465321Subject:Pharmacy
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Special chemical components and fractions as quantitative parameters are usually used for quality assessment of Traditional Chinese medicine(TCM), and traditional qualitat i ve parameters are ignored due to lack of methodological support, which makes it difficult to evaluate TCM materals quality objectively and comprehensively. Looking through current literature on TCM regionalization, most is the study of production suitability regionalization or ecological suitability regionalization. There is separation phenomenon for the high quality center and resource intensive center of TCM, so it is hard to balance the growth suitability and quality suitability. In al usion to these problems, we put Notopterygii Rhizoma et Radix as the research object, and exploring the comprehensive assessment method combined traditional Chinese medicinal material specifications with quantitative quality indicators. We also put forward the method on the practical functiona l regionalization through Combing with the growth suitabilit y, quality suitability and land use. This method is expected to overcome shortage of traditiona l regionalization methods difficult to distinguish the contribution of ecological factors and quality factors, which provide an innovative theory and methodology for regionalization, and is helpful to the practical application of wild resource protection, monitoring, and commercializa t io n cultivation for TCM plants. The conclusions of the study are as follows.1. We extracted the data of the traditional characters and modern chemical index from 76 commercial medicinal materials. a Herb Quality Index(HQI) including traditional commercia l specifications and chemical components for quantitative grade classification were established, and corresponding discriminant function were figured out for precise determination of quality grade and subgrade of Notopterygii Rhizoma et Radix by using the modern mathemat ic a l statistics methods, such as K-means clustering, Fisher discriminant analysis and correspondence analysis. The result showed that notopterol, isoimperatorin and volatile oil are the major components for determination of chemical quality, and their dividing values were specified for every grade and sub-grade of the commercial materials of Notopterygii Rhizoma et Radix.This study realzing comprehensive evaluation of the quality grade of the traditional commodit y specification and within the same specifications of Notopterygii Rhizoma et Radix. The results show that the results of comprehensive evaluation are satisfactory and in agreement with practice. Therefore, essential relationship between traditional medicinal indicators, qualitat ive commercial specifications, and quantitative chemical composition indicators could be examined by K-means cluster, Fisher discriminant analysis and correspondence analysis, which provide a new method for comprehensive quantitative evaluation of traditional Chinese medicine quality integrated traditional commodity specifications and quantitative modern chemical index.2. We extracted the geographic information data, ecological environme ntal data and chemical quality indicators from 172 wild Notopterygii Rhizoma et Radix. Major contribut ing factors for growth of endangered medicinal plants of Notopterygium incisum were screened on the GIS platform by using the MaxEnt model, and spatial distribution data of the medicine quality suitability were generated by geostatistics interpolation based on reported measured data of ecology and quality suitability assessment. On this basis, a functional production cultiva t io n regionalization with high feasibility and operability were formatted for protection, wild monitoring, and cultivation of this plant by fuzzy superposition of spatial suitability data of ecology and quality, as well as integrated with land use and cover data. Therefore, a novel assessment and regionalization method were presented for ecology, growth and quality suitabilit y of the TCM plants. The results show that the most suitable habitats is Sichuan Province, and more than 60% of the most suitable area was located in the western Sichuan such as Aba and Ganzi prefectures for N. incisum. The results indicated that habitat altitude, average air temperature in September, and vegetation types were the dominant factors contributing to the grade of plant growth, precipitation and slope were the major factors contributing to notopterol accumulation in its underground parts, while isoimperatorin in its underground parts were negative correlated with precipitation and slope of its habitat. Quality content from the east to the west, from the south to the North showed a decreasing trend. However, slope as a factor influencing chemical components seemed to be a pseudo correlationship. The most suitable for production of notopterygium section is mainly distributed in Sichuan Aba area, High quality and high yield areas of Notopterygii Rhizoma et Radix overlap most. Overlaying the data of land use, results showed that the suitable scale of planting and wild notopterygium tending area is mainly Sichuan Aba and Ganzi, and give the large-scale production and wildlife tending area. On the basis of the above study, we established the method of evaluation and analysis on growth suitability, quality and production suitability regionalization, realizing the study on the Quantitative evaluation of functional regionalization, overcoming the problem that seeing the ecological and production suitability as the same due to the lack of spatial correlation analys is between ecological factors and quality factors. This study shows an important reference value on the strong guidance, practicality and foresigh TCM regionalization.
Keywords/Search Tags:Notopterygii Rhizoma et Radix, Quantitative quality, TCM regionalization, Functional regionalization, Functiontal regionalization evaluation
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