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OBJECTIVE To evaluate the comprehensive quality of Houttuynia cordata from different producing areas. METHODS Using total flavonoids， water-soluble extract， moisture， total ash and acid-insoluble ash as indicators， the entropy weight method was used to objectively weigh each indicator， and the relative correlation degree （r）i calculated by grey correlation method was used as a measure to comprehensively evaluate the quality of H. cordata. RESULTS The weights of total flavonoids， total ash， moisture， acid-insoluble ash， and water-soluble extract were 0.295 5， 0.227 3， 0.188 7， 0.145 1， and 0.143 4， respectively. The weights of total flavonoids and total ash were relatively large. The ri of 30 batches of H. cordata ranged from 0.233 2 to 0.673 9； the average ri of samples from Quanzhou County and Ziyuan County of Guangxi Zhuang Autonomous Region were the highest， which were 0.638 3 and 0.598 7， respectively， followed by samples from Lingchuan County of Guangxi Zhuang Autonomous Region （0.556 1） and Jianshui County of Yunnan Province （0.452 8）. The quality of medicinal materials produced in the above producing areas was generally good and stable. CONCLUSIONS Entropy weight method combined with the grey correlation method can be used to comprehensively evaluate the quality of H. cordata. The overall quality of H. cordata produced in Quanzhou County of Guangxi Zhuang Autonomous Region is the best.
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Objective::To establish the evaluation method of Pinelliae Rhizoma (PR) resources by the analytic hierarchy process (AHP) and grey correlation degree (GCD) method, so as to explore the differences in quality components, production efficiency and appearance traits of different germplasm resources cultivated in the same environment. Method::The quality component index, efficiency index, and appearance traits index of 15 germplasm resources were measured, including moisture, total ash, extractives, total acid content, harvest index, yield, drying rate, commodity rate, decay rate and deformability of tubers. Based on AHP and grey correlation method, each indicator data was processed in a comprehensive way, its comprehensive correlation value was calculated, and different PR germplasm resources were comprehensively evaluated. Result::Based on three factors-quality composition, production efficiency and appearance traits, the comprehensive correlation value of A6 was the highest, reaching 0.749 4, which was followed by A14, A15, A7, and their comprehensive correlation values were 0.736 6, 0.726 2, 0.718 2, respectively. Therefore, the source of A6 could be used as an excellent provenance introduced to the cultivation of PR, and the provenance of A14, A15, and A7 could be used as a useful supplement. Conclusion::The method of AHP and GCD-based multi-index comprehensive evaluation is simple and comprehensive to evaluate the diversity of different PR germplasm resources, and could provide a reference for the development and utilization of resources and the screening of high-quality provenances.
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Objective To comprehensively evaluate the Aucklandiae Radix quality by combining gray correlation method and FCM (Fuzzy C-Means) algorithm. Methods HPLC method was used to determine the content of costunolide and dehydrocostus, and the content of volatile oil was determined by steam distillation. The gray correlation method was used to sort the quality of Chinese herbal medicines, and the FCM algorithm was used to classify the quality of medicines. Results The average correlation degree of Aucklandiae Radix from different producing areas was: Yunnan > Guangdong > Guangxi > Hunan> Sichuan > Bozhou > Beijing > Hebei. FCM algorithm divided samples into three categories: Yunnan, Guangdong and Guangxi were in the high quality group; Hunan and Sichuan were in the medium quality group; Beijing, Bozhou, and Hebei were in the low quality group. Conclusion Constructing an integrated pattern recognition model system for evaluating the quality of Chinese medicinal materials, and the fuzzy clustering algorithm was adopted for the first time in Aucklandiae Radix. The purpose of this study is to form a kind of research method of Aucklandiae Radix quality evaluation and provide a way to guide and apply the new methods of modern pattern recognition and data mining in the application of traditional Chinese medicine quality evaluation.