摘要
目的:开发黄皮抗氧化产品和防治糖尿病的药物.方法:从化学组成、相对分子质量、单糖组成、外观形态、DPPH自由基清除率和α-淀粉酶抑制率等方面分析黄皮果肉多糖(CWP-F)、果皮多糖(CWP-P)和种子多糖(CWP-S)的结构特性,以及体外抗氧化和体外降血糖活性.结果:CWP-F的相对分子质量最大,主要由半乳糖和阿拉伯糖组成;CWP-P主要由半乳糖醛酸和阿拉伯糖组成;CWP-S主要由葡萄糖组成.3种多糖的红外光谱都有羧酸结构特征吸收峰;电镜显示其表面结构蓬松.CWP-P有最强的抗氧化能力,其DPPH自由基清除率、OH自由基清除率和总还原力均高于CWP-F和CWP-S的.CWP-P有最强的降血糖能力,CWP-F的次之,而CWP-S无降血糖能力.结论:CWP-F、CWP-P和CWP-S具有不同的组成结构、体外抗氧化和降血糖活性,其中CWP-P具有最好的体外抗氧化和降血糖能力.
Abstract
Objective:This study aimed to develop antioxidant products and anti-diabetes drugs of wampee.The study aimed to research the structural characteristics,anti-oxidation and hypoglycemic properties in vitro of polysaccharides from different parts of wampee.Methods:The structural properties,in vitro antioxidant and hypoglycemic activities of polysaccharides from the fruit,peel and seeds of wampee(CWP-F,CWP-P,and CWP-S)were analyzed and compared from the aspects of chemical composition,molecular weight,monosaccharide composition,appearance,DPPH free radical scavenging rate and α-amylase inhibition rate.Results:CWP-F had the highest molecular weight and was mainly composed of galactose and arabinose,CWP-P was mainly composed of galacturonic acid and arabinose,and CWP-S was mainly composed of glucose.The absorption peaks of the carboxylic acid structure were found in the Fourier transform infrared spectra of the three polysaccharides.Scanning electron microscopy results showed that the surface structure of the three polysaccharides was fluffy.CWP-P had the strongest antioxidant capacity,and its DPPH free radical scavenging rate,OH free radical scavenging rate,and total reducing power all were higher than those of CWP-F and CWP-S.CWP-P had the strongest hypoglycemic ability,followed by CWP-F,and CWP-S had no hypoglycemic ability.Conclusion:In vitro,CWP-F,CWP-P,and CWP-S exhibited varying compositions,structures,and antioxidant and hypoglycemic activity.Notably,CWP-P has shown the most robust antioxidant and hypoglycemic properties.
基金项目
天津市自然科学基金重点项目(16JCZDJC34100)
食品营养与安全国家重点实验室开放基金(SKLFNS-KF-202108)
长江大学大学生创新创业训练计划(Yz2022233)
维普
万方数据