ABSTRACT
Objective: To identify and comprehensively evaluate Cynomorium songaricum from different producing areas in order to provide reference for the quality evaluation of C. songaricum and the determination of the suitability of the origin. Methods: A total of 40 samples from five provinces (regions) were collected to measure the content of gallic acid, protocatechuic acid, catechins, total polysaccharides, total flavonoids, Na, K, Ca, Mg, Fe, Zn, Mn, Co, Sr, Ni, Ag, Ba, Ti, Cu, Pb, Cr, Cd, As, and Hg. The data reflecting the quality of C. songaricum were analyzed by orthogonal partial least squares discriminant analysis (OPLS-DA) and entropy weight TOPSIS analysis. Results: The contents of Mn, Zn, Co, catechin, Pb, Cr, Ca, Ti, total flavonoids, protocatechuic acid, Mg and Cu in C. songaricum are important for distinguishing different producing areas. The quality of C. songaricum in Inner Mongolia was the best in all provinces (regions), followed by Gansu, Ningxia, Xinjiang, and Qinghai Provinces. Conclusion: The results of OPLS-DA combined with entropy weight TOPSIS analysis are reasonable, objective and effective, and can be applied to the comprehensive evaluation of multiple indicators of C. songaricum.
ABSTRACT
Objective:To optimize the entropy TOPSIS model to evaluate the quality of Hemerocallis Flava from different regions,in order to provide a new evaluation method for the quality control of traditional Chinese medicine. Method:The entropy weight TOPSIS model optimized by analytic hierarchy process(AHP) method was used to analyze the quality of Hemerocallis Flava from 14 different regions, and a comprehensive evaluation index system for the quality of Hemerocallis Flava, which covered 3 layers (target layer,decision layer and index layer),and 10 indexes (corolla of Hemerocallis Flavathe's bud,pistils,stamens,peduncle length,extract,total ash,quercetin,β-rhamnocitrin,kaempferol,sitosterin) was established. Result:Qingyang showed the best quality of Hemerocallis Flava,which was followed by Weinan,and the lowest quality was found in Datong, Shanxi, and Xiaowan village, Sichuan. The results were consistent with the evaluation results of traditional empirical identification,suggesting the successful modeling. The contents of β-rhamnocitrin and kaempferol in Qingyang were 1.72 times and 2.74 times of those of Xiaowan village, Sichuan. There was no significant difference in other active ingredients from different regions. It was suggested that quercetin and kaempferol could be used as the identification and quality evaluation indexes of cauliflower. Conclusion:The entropy TOPSIS model based on the AHP method is clear,simple to use and easy to calculate, with distinct evaluation indexes. It is a practical,quick and effective comprehensive evaluation method for multi-objective decision analysis.