不同产地覆盆子乙醇提取物中的酚类物质及其抗糖尿病活性
Phenolic Compounds and Antidiabetic Activity of Raspberry Ethanol Extract from Different Producing Areas
王佩欣 1卢菲艳 2张露 2周雯娜 2彭春彦 2陈明舜 3涂宗财4
作者信息
- 1. 江西师范大学健康学院,江西南昌 330022;江西师范大学国家淡水鱼加工技术研发专业中心,生命科学学院,江西南昌 330022
- 2. 江西师范大学国家淡水鱼加工技术研发专业中心,生命科学学院,江西南昌 330022
- 3. 江西师范大学健康学院,江西南昌 330022
- 4. 江西师范大学国家淡水鱼加工技术研发专业中心,生命科学学院,江西南昌 330022;南昌大学食品科学与资源挖掘全国重点实验室,江西南昌 330047
- 折叠
摘要
本文以六个产地(广东、广西、安徽、浙江、江西和四川)的覆盆子为原料,采用乙醇提取法提取覆盆子酚类物质,对比分析酚类物质及其抗糖尿病活性.结果表明,在不同产地中,广东覆盆子总酚含量最高(349.77 μg GAE/mg E),浙江覆盆子总黄酮含量最高(202.55 μg QUE/mg E),四川覆盆子提取物中的水解单宁含量最高(125.07 mg GAE/gE).从六个产地的覆盆子提取物中鉴定出了 34种酚类化合物,主要是鞣花单宁、黄酮和酚酸类物质.活性研究显示,四川覆盆子提取物具有最强的DPPH·清除能力(IC50=63.069 μg/mL)、ABTS+·清除能力(IC50=29.977 μg/mL)和a-葡萄糖苷酶抑制能力(IC50=0.086 mg/mL),安徽覆盆子提取物抑制AGEs形成的能力相对较强(81.91％).综上,四川产地覆盆子是抗糖尿病药物的优质来源.
Abstract
In this paper,phenolic compounds of raspberry from six producing areas(Guangdong,Guangxi,Anhui,Zhejiang,Jiangxi and Sichuan)were extracted by ethanol extraction method,and the phenolic compounds and their antidiabetic activities were compared and analyzed.The results showed that the content of polyphenol of raspberry from Guangdong was the highest(349.77 μg GAE/mg E),Zhejiang raspberry showed the highest total flavonoid content(202.55 μg QUE/mg E),while Sichuan raspberry showed the highest content of hydrolyzed tannin(125.07 mg GAE/g E).Thirty-four different phenolic compounds were identified from raspberry extracts,which were mainly ellagitannins,flavonoids and phenolic acids.Studies on antidiabetic activity showed that the DPPH(IC50=63.069 μg/mL)and ABTS+·scavenging capacities(IC50=29.977 μg/mL)and the inhibitory effect on a-glycosidase(IC50=0.086 mg/mL)of raspberry extracts from Sichuan were higher than those from other regions,whereas Anhui raspberry extract showed the strongest inhibitory ability of AGEs(81.91％).In summary,raspberry from Sichuan is a high-quality source of anti-diabetes drugs.
关键词
覆盆子/不同产地/酚类物质/抗糖尿病Key words
raspberry/different producing areas/phenolic compounds/antidiabetic activity引用本文复制引用
基金项目
国家自然科学基金(32301993)
江西省自然科学基金(20232BAB205072)
江西省自然科学基金(20192ACB21011)
江西省技术创新引导类计划(20212AEI91001)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据