阿卡波糖
麦芽糖酶
淀粉
食品科学
餐后
化学
消化(炼金术)
淀粉酶
诃子
生物化学
儿茶素
传统医学
多酚
抗氧化剂
酶
生物
医学
生物技术
胰岛素
色谱法
标识
DOI:10.1080/10942912.2011.595864
摘要
Starch is the main carbohydrate in human nutrition. Starch digestibility can vary from a rapid digestion to indigestibility. Therefore, postprandial glycaemic control in type 2 diabetics is of great interest in the context of worldwide health concerns. Although powerful synthetic inhibitors of starch digestive enzymes, such as acarbose, are available to control postprandial hyperglycemia, plant-based enzyme inhibitors are potentially safer. Natural enzyme inhibitors, such as wheat albumin, the Phaseolus vulgaris α-amylase inhibitor, and several phenolic compounds, have the potential to serve as a remedy against hyperglycemia-induced chronic diseases. The inhibition of α-amylase and α-glucosidase is mediated by different phenolics found in varieties of raspberry. Maltase inhibitory activities of chebulagic acid and chebulinic acid from fruit of Terminalia chebula are comparable to that of acarbose. The Nepalese herb Pakhanbhed (Bergenia ciliata) phenolics, (-)-3-O-galloylepicatechin and (-)-3-O-galloylcatechin, showed effective inhibition against starch digesting enzymes. In separate studies, oral administration of starch and maltose with persimmon (Diospyros kaki) leaf tea proanthocyanidins [containing (-)-epigallocatechin-3-O-gallate] and black/bitter cumin (Centratherum anthelminticum) seed phenolics, respectively, resulted in a significant and dose-dependent decrease in the blood glucose level in Wistar rats. Co-application of phenolics with synthetic enzyme inhibitors may reduce the effective dose of synthetic inhibitors required in the regulation of starch digestion. Several phenolic compounds might be useful functional food components and could contribute to manage both hyperglycemia and proper cellular redox status. Human dose-selecting studies and well-controlled long-term human studies would help to optimize the beneficial effects of phenolic compounds.
科研通智能强力驱动
Strongly Powered by AbleSci AI