Open Access
| Issue |
BIO Web Conf.
Volume 237, 2026
2026 8th International Conference on Biotechnology and Biomedicine (ICBB 2026)
|
|
|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 7 | |
| Section | Pharmacology, Natural Products and Drug Delivery | |
| DOI | https://doi.org/10.1051/bioconf/202623702012 | |
| Published online | 10 June 2026 | |
- IDF Diabetes Atlas 11th Edition (2025). Chapter 3- The global picture of diabetes, pp. 40–71, https://diabetesatlas.org/resources/idf-diabetes-atlas-2025/ [Google Scholar]
- Zhao Li, Liao Juan, Zhao Haijiao, et al. (2025). Identification of key metabolites in fermented quinoa and their α-glucosidase inhibitory mechanisms using widely targeted metabolomics and molecular simulation. Food chemistry, 496(Pt2), 146740. https://doi.org/10.1016/J.FOODCHEM.2025.146740. [Google Scholar]
- Li Zhiming, Zhang Shu, Meng Weihong, et al. (2023). Food-derived α-glucosidase inhibitory peptides: research progress on structure-activity relationship, Safety and Bioavailability. Food Science, 44(15), 298–309. https://doi.org/10.7506/spkx1002-6630-20220822-258. [Google Scholar]
- Jiang Lili, Jia Yanyan, Yin Hang, et al. (2025). Inhibitory mechanism of pterostilbene and pinostilbene on aldose reductase and α-glucosidase: a new insight from inhibition kinetics and molecular docking studies. RSC advances, 15(31), 25579–25585. https://doi.org/10.1039/D5RA03002A. [Google Scholar]
- Xie Xinrui, Lv Bangyu, Gu Yuancong, et al. (2025). Research progress of α-glucosidase inhibitors from fermented food.Journal of Functional Foods, 135, 107076–107076. https://doi.org/10.1016/J.JFF.2025.107076. [Google Scholar]
- Liu Chang, Zhang Baodan, Tu Yu, et al. (2025). Secondary metabolites and their α-glucosidase inhibitory activities from the alpine fungus Phellinus monticola [J]. Chinese Journal of Antibiotics, 1-8. https://doi.org/10.13461/j.cnki.cja.008010. [Google Scholar]
- Wang Qinghua, Wen Jiaying, & Xu Xiaomei. (2020). Molecular Docking of Small-Molecule Monosaccharides and Their Analogues with α- Glucosidase. J. Food Sci, 41, 139–143. https://doi.org/10.7506/spkx1002-6630-20181201-001 [Google Scholar]
- Wang Liping, Gao Caiwen, Feng Haiyue, et al. (2022). In vitro α-glucosidase inhibitory activity of Rhodiola crenulata extract based on molecular docking and enzyme inhibition kinetics. Natural Product Research and Development, 34(12), 2018. https://doi.org/10.16333/j.1001-6880.2022.12.004 [Google Scholar]
- Xu Yuxian, Cheng Huimin, Han Guixin, et al. (2023) Preparation of an α-Glucosidase Inhibitor by fermenting Porphyra with Bacillus subtilis. Food and Fermentation Industries, 49(17): 1–9. https://doi.org/10.13995/j.cnki.11-1802/ts.034464 [Google Scholar]
- Tang Fuhao, Wei Baoyao, Qin Chao, et al. (2024). Enhancing the inhibitory activities of polyphenols in passion fruit peel on α-Amylase and α-Glucosidase via β-Glucosidase-producing Lactobacillus fermentation. Food Bioscience, 62, 105005–105005. https://doi.org/10.1016/J.FBIO.2024.105005. [Google Scholar]
- Xin Xiangdong, Jiang Xueping, Niu Baoxin, et al. (2023). Identification and expression of key genes related to 1-deoxynojirimycin biosynthesis in Streptomyces lavendulae. Electronic Journal of Biotechnology, 64, 1–9. https://doi.org/10.1016/J.EJBT.2023.03.003. [Google Scholar]
- Xi Xiaomeng, Jiang Yunge, Wang Lin, et al. (2021). Mechanism of flavonoids α-glucosidase explored based on molecular docking technology. Journal of Yunnan Minzu University (Natural Sciences Edition), 30(06), 525–531. https://doi.org/10.3969/j.issn.1672-8513.2021.06.002 [Google Scholar]
- Li Delong, Yilzera Aibaidul, Chen Bingting, et al. (2021). Screening of α-glucosidase inhibitory components from Morus nigra Linn. based on molecular docking, Journal of Xinjiang Medical University, 44(11), 1275–1281. https://doi.org/10.3639/j.issn.1009-5551.2021.11.015 [Google Scholar]
- Yang Chunting, Hong Zishan, Zhang Li, et al. (2025). Discovery of novel walnut-derived α-glucosidase inhibitory peptides based on virtual screening and molecular dynamics simulations, Food and Fermentation Industries, 51(16), 236–244. https://doi.org/10.13995/j.cnki.11-1802/ts.040592. [Google Scholar]
- Li Lina, Sun Jingru, Zhao Wanting, et al. (2025). Purification and molecular docking of α-glucosidase inhibitory peptides from mung bean protein hydrolysates. LWT, 222, 117545–117545. https://doi.org/10.1016/J.LWT.2025.117545. [Google Scholar]
- Jiang Mingzhu, Yan Hui, He Ronghai, et al. (2018). Purification and a molecular docking study of α- glucosidase-inhibitory peptides from a soybean protein hydrolysate with ultrasonic pretreatment.European Food Research and Technology, 244(11), 1995–2005. https://doi.org/10.1007/s00217-018-3111-7. [Google Scholar]
- Zhou Qin, Wei Yishi, Liao Yijing, et al. (2025). Inhibitory mechanism of α-glucosidase by liquiritigenin and its combined effect with acarbose: Multi-spectroscopic analyses and molecular docking simulation. Food Bioscience, 63, 105659–105659. https://doi.org/10.1016/J.FBIO.2024.105659. [Google Scholar]
- Bian Miaomiao, Yang Yaxuan, Liu Jun, et al. (2025). Novel α-glucosidase inhibitory peptide derived from Cyperus esculentus meal protein hydrolysates: Screening, inhibition mechanism and stability. Food and Bioproducts Processing, 153, 275–285. https://doi.org/10.1016/J.FBP.2025.06.010. [Google Scholar]
- Sun Huifeng, Zhu Junyi, Guo Lidong, et al. (2022). Research Progress on Biotransformation of Lactic Acid Bacteria on Active Ingredients from Homologous Plants of Medicine and Food. Science and Technology of Food Industry, 43(07), 474–481. https://doi.org/10.13386/j.issn1002-0306.2021090227. [Google Scholar]
- Wang Biao, Wang Chengmo, Duan Yichen, et al.(2023). The effects of Monascus purpureus fermentation on metabolic profile, α-glucosidase inhibitory action, and in vitro digestion of mulberry leaves flavonoids. LWT, 188, https://doi.org/10.1016/J.LWT.2023.115449. [Google Scholar]
- Hong Jian, Wang Mengya, Shi Yun, et al. (2025). The effects of Zygosaccharomyces rouxii fermentation on polyphenol profile, antioxidant properties, α- glucosidase inhibitory activity, and flavor compounds of Cynanchum auriculatum Royle ex Wight beverages. Food Bioscience, 67, 106363. https://doi.org/10.1016/j.fbio.2025.106363 [Google Scholar]
- Zhu Zuohua, Wang Yiwen, Lin Dengfan, et al. (2023). Changes in polyphenols composition and antioxidative properties of hemp (Cannabis sativa L.) inflorescences pretreated by Ganoderma lucidum. Industrial Crops & Products, 195, https://doi.org/10.1016/J.INDCROP.2023.116422. [Google Scholar]
- Wang Lingling, He Yan, Chen Lihua, et al. (2022). Optimization of preparation of Candida utilis polypeptide by ultrasonic pretreatment and double enzyme method. Biomass Conversion and Biorefinery, 14(3),3597–3613. https://doi.org/10.1007/S13399-022-02652-5. [Google Scholar]
- Zhou Sen, Zhang Zhiran, Li Shengxin, et al. (2025). Characterization and efficacy of α-glucosidase inhibitory peptides from enzymatically hydrolyzed Peanut meal. Food Research International, 218, 116864–116864. https://doi.org/10.1016/J.FOODRES.2025.116864. [Google Scholar]
- Kittisak Kuptawach, Papassara Sangtanoo, Bodee Nutho, et al. (2025). Multi-target mechanisms of diabetic inhibitory peptides derived from longan seed protein hydrolysate. Food Bioscience, 68, 106652–106652. https://doi.org/10.1016/J.FBIO.2025.106652. [Google Scholar]
- Dibyendu Das, Mir Ekbal Kabir, Anupriya Borah, et al. (2024). Alpha-glucosidase inhibitory and glucoregulatory potential of soy protein fermented with a bacterium (Bacillus subtilis PMNEIST3) isolated from Hawaijar. Food Bioscience, 62, 105465–105465. https://doi.org/10.1016/J.FBIO.2024.105465. [Google Scholar]
- Ulug Sule Keskin, Jahandideh Forough & Wu Jianping. (2021). Novel technologies for the production of bioactive peptides. Trends in Food Science & Technology, 108, 27–39. https://doi.org/10.1016/J.TIFS.2020.12.002. [Google Scholar]
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