低共熔溶剂提取酸枣果肉多糖工艺及其对α-葡萄糖苷酶抑制活性研究
Deep Eutectic Solvent Extraction Polysaccharide of Wild Jujube Flesh and Research on Its Inhibitory Activity against α-Glucosidase
袁书会 1陈强 1刘红波 1史鑫波 1李国龙1
作者信息
- 1. 陕西中医药大学 陕西中药资源产业化省部共建协同创新中心/秦药特色资源研究开发国家重点实验室(培育),陕西 咸阳 712083
- 折叠
摘要
目的:为提高酸枣果肉的利用率,利用低共熔溶剂(DES)提取酸枣果肉多糖(WJFP)并优化其提取工艺,探究WJFP对α-葡萄糖苷酶抑制活性.方法:采用单因素和响应面实验以多糖得率为指标筛选最佳提取工艺,利用HPAEC分析其单糖组成并测定WJFP对α-葡萄糖苷酶抑制活性.结果:最佳DES体系为氯化胆碱-尿素(CCU),摩尔比为1∶2;最佳提取工艺为超声时间62 min、超声温度54℃、含水量24%、料液比1∶20(g·mL-1),在此条件下,WJFP得率可达5.57%;单糖组成分析得阿拉伯糖和半乳糖醛酸为WJFP主要单糖;0.2 mg·mL-1 WJFP对α-葡萄糖苷酶的抑制活性可达到82.05%.结论:利用DES提取所得WJFP对α-葡萄糖苷酶具有一定的抑制活性,拓宽了酸枣果肉的开发前景.
Abstract
Objective:To improve the utilization rate of wild jujube flesh,deep eutectic solvent(DES)was used to extract polysaccharides from wild jujube flesh(WJFP)and optimize the extraction pro-cess.The α-glucosidase inhibitory activity of the polysaccharides was also determined.Methods:The optimal extraction process was explored through single factor and response surface experiments.The monosaccharide composition was determined by HPAEC,and the α-glucosidase inhibitory activity of WJFP was measured.Results:The optimal DES system was choline chloride-urea(CCU)with a mo-lar ratio of 1∶2.The optimal extraction process parameters were as follows:ultrasonic time of 62 min,ultrasonic temperature of 54℃,moisture content of 24%,and solid-liquid ratio of 1∶20(g·mL-1).Under these conditions,the yield of WJFP reached 5.57%.Analysis of WJFP monosaccha-ride composition showed that arabinose and galacturonic acid were the main monosaccharides in the polysaccharides.The α-glucosidase inhibition activity of WJFP at a concentration of 0.2 mg·mL-1 reached 82.05%.Conclusion:Polysaccharides extracted using DES from wild jujube flesh exhibited significant α-glucosidase inhibitory activity,expanding the development prospects of wild jujube flesh.
关键词
酸枣果肉/低共熔溶剂/多糖/响应面法/α-葡萄糖苷酶Key words
Wild jujube flesh/Deep eutectic solvents/Polysaccharide/Response surface/α-Gluco-sidase引用本文复制引用
基金项目
陕西省教育厅重点科学研究计划项目(22JY020)
陕西中医药大学博士科研启动金项目(17102032238)
出版年
2024
NETL
NSTL
万方数据