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China Surfactant Detergent & Cosmetics ›› 2023, Vol. 53 ›› Issue (5): 544-550.doi: 10.3969/j.issn.2097-2806.2023.05.008

• Development and application • Previous Articles     Next Articles

Study on the preparation of Astragalus by enzymatic hydrolysis and its application

Qi Guofeng*(),Li Ganggang,An Yan   

  1. Anyang Vocational and Technical College, Anyang, Henan 455000, China
  • Received:2022-05-17 Revised:2023-04-26 Online:2023-05-22 Published:2023-05-22
  • Contact: * Tel.: +86-13303728334, E-mail: 18937251819@189.com.

Abstract:

This research investigated the preparation of astragalin by enzymatic hydrolysis method and its application. Using the extraction rate of Astragalus as the evaluation index, astragalin was extracted by enzymatic hydrolysis method and determined by using high performance liquid chromatography (HPLC). By constructing aging model mice, the astragalin prepared by enzymatic hydrolysis method was applied to the aging model mice, and the learning and memory ability and the oxidation level of brain tissue of the aging model mice were observed. The results show that the orthogonal test of enzymatic hydrolysis method is superior when the material-liquid ratio is 1∶10, the number of extractions is 3 times, the extraction temperature is 80 ℃ and the extraction time is 1 min, with the highest extraction rate of Astragalus. Compared with the control group, astragalin significantly improves the learning and memory abilities of the aging model mice (P<0.05). The contents of superoxide dismutase (SOD) and catalase (CAT) in the brain tissues of the aging model mice increase significantly after treatment with astragalin (P<0.05), while the contents of malondialdehyde (MDA) decrease significantly (P<0.05). In this study, by optimising the preparation method of Astragalus and testing the anti-ageing ability of Astragalus, the study lays the theoretical and practical foundation for the further development and clinical application of Astragalus in the future.

Key words: enzymatic hydrolysis, Astragalus, aging model mice, anti-oxidation, application research

CLC Number: 

  • TQ658