Yunyun Zheng , Bingge Liu , Xiaojiang Wang , Xiaorui Wu , Pei Wang , Heng Sun , Yini Fu , Kouadio Jean Eric-Parfait Kouame , Xingqian Ye , Jianle Chen
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引用次数: 0
Abstract
Saponins are one of the main active ingredients in Polygonatum. This study aimed to identify Polygonatum saponins with superior biological properties from four species and screen for saponin compounds with high bioactivities. The results indicated that saponins content and bioactivity varied by species, especially PK, which demonstrated superior performance in both yield (extraction yield = 2.43 %, purification yield = 9.86 %) and bioactivities. Specifically, the IC50 values for α-amylase and α-glucosidase were 0.877 mg/mL and 0.747 mg/mL, respectively. UPLC-QTOF/MS analysis further identified three saponins in PK, namely Sibiricoside B, Kingianoside C, and Kingianoside H, which demonstrated remarkable antioxidant activity in vitro. Molecular docking analyses revealed that Sibiricoside B (−8.051 kcal/mol) and Kingianoside H (−7.757 kcal/mol) exhibited significantly lower binding energies and shorter hydrogen bond distances compared to acarbose (−7.641 kcal/mol). These findings suggest that Sibiricoside B and Kingianoside H may serve as promising candidates for the development of natural inhibitors targeting type 2 diabetes mellitus, as well as potential active components in functional foods. Furthermore, all these findings also provide a basis for the valorization of Polygonatum species as natural resources, highlighting their potential to develop novel natural antioxidants and functional food ingredients.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.