Shipin gongye ke-ji (Mar 2022)
Optimization of Total Favonoids Extraction Proces of Tetrastigma hemsleyanum Diels et Gilg and Its Quality Evaluation from Different Origins
Abstract
Objective: To optimize the extraction process of total flavonoids of Tetrastigma hemsleyanum Diels et Gilg, compare the yield of total flavonoids of Tetrastigma hemsleyanum Diels et Gilg from different origins, and use fingerprint combined with chemical pattern recognition to make a comprehensive evaluation of the quality of Tetrastigma hemsleyanum Diels et Gilg. Methods: Based on the single-factor experiments, the extraction process of total flavonoids of Tetrastigma hemsleyanum Diels et Gilg was optimized by the Box-Behnken method with the total flavonoids yield of Tetrastigma hemsleyanum Diels et Gilg as the evaluation index. Under the optimal extraction process, the total flavonoids yield of Tetrastigma hemsleyanum Diels et Gilg from different origins was determined. Basing on establishing the HPLC fingerprint of Tetrastigma hemsleyanum Diels et Gilg, the quality of Tetrastigma hemsleyanum Diels et Gilg from different origins were evaluated by similarity evaluation, cluster analysis, and principal component analysis. Results: The optimum extraction process for the total flavonoids of Trifolium was determined to be extraction time 65 min, extraction temperature 83 ℃, solid-to-liquid ratio 1:30 g·mL−1, ethanol concentration 60%, and the total flavonoids yield was 37.89 mg·g−1 under this condition. The total flavonoids yield of Tetrastigma hemsleyanum Diels et Gilg from different origins varied greatly, among which the total flavonoids content of Tetrastigma hemsleyanum Diels et Gilg from Yunnan Chuxiong, Fujian Fuzhou and Guizhou Qianxinan was higher. The HPLC fingerprints of the total flavonoids of Tetrastigma hemsleyanum Diels et Gilg from 9 different origins were established, and a total of 11 common peaks were identified, with similarities of 0.770~0.961. The results of cluster analysis and principal component analysis were consistent, and the samples of Tetrastigma hemsleyanum Diels et Gilg from different origins could be classified into 4 categories. The principal component analysis showed that the cumulative variance contribution of the first three principal components was 84.92%, and the three factors were selected for the comprehensive evaluation. Based on the comprehensive evaluation scores, it was found that the quality of Tetrastigma hemsleyanum Diels et Gilg from Zhejiang Taizhou was the best, followed by Yunnan Chuxion, and Guangdong Qingyuan was the worst. Conclusion: The results of this study would provide a reference for the quality evaluation of the quality of Tetrastigma hemsleyanum Diels et Gilg from different origins, and provide technical support for the regulation of Tetrastigma hemsleyanum Diels et Gilg sales market and subsequent resource development.
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