玉米须多糖的理化性质和体外生物活性研究
Study on the physicochemical characteristics and in vitro bioactivities of corn silk polysaccharides
况慧云 1孙萍东 1林金元 1杨立年 2王慧 1戴惠学 3胡颖雄 1郑洪建4
作者信息
- 1. 上海市农业科学院作物育种栽培研究所,上海特用玉米工程技术研究中心,上海市农业遗传育种重点实验室,上海 201403
- 2. 上海市农业科学院,上海 201403
- 3. 南京市蔬菜科学研究所,南京 210042
- 4. CIMMYT-中国特用玉米研究中心,上海 201403
- 折叠
摘要
为探讨玉米须多糖含量及体外生物活性,采用热水浸提-醇沉法提取3个品种('黑金699''金银308'和'夏王')玉米须多糖,并对其理化性质和体外生物活性进行对比.结果表明:'黑金699''金银308'和'夏王'3个品种玉米须多糖含量分别为(32.57±0.12)mg/g、(96.39±0.76)mg/g和(27.48±0.63)mg/g.理化性质研究表明,3个品种玉米须多糖主要由阿拉伯糖、半乳糖和葡萄糖组成,且分子量大小分布不同.红外光谱分析表明,3个品种玉米须多糖均为β构型的酸性吡喃多糖.体外活性研究表明,3个品种玉米须多糖具有良好抗氧化、降血糖和抗肿瘤活性,且呈剂量依赖性,其中'黑金699'玉米须多糖表现最为优异.综上,3个品种玉米须多糖具有较好的生物活性,该研究可为其在功能性食品、药品和化妆品中的应用提供依据.
Abstract
The polysaccharides were extracted from three varieties('Heijin 699','Jinyin 308',and'Xiawang')of corn silk by hot water extraction-alcohol sedimentation method,and the physicochemical properties and in vitro bioactivities of these polysaccharides were comparatively studied.The results showed that the contents of three polysaccharides('Heijin 699','Jinyin 308',and'Xiawang')were(32.57±0.12)mg/g,(96.39±0.76)mg/g and(27.48±0.63)mg/g,respectively.The results of the physicochemical properties showed that the three polysaccharides mainly consisted of arabinose,galactose and glucose,and had different molecular weight distributions.Fourier transform-infrared spectra analysis showed that three polysaccharides were acidic pyran polysaccharides with β-configuration.In vitro bioactivities results indicated that three polysaccharides possessed good antioxidant,hypoglycemic,and antitumor activities in a dose-dependent manner,among which polysaccharides in'Heijin 699'showed the best performance.In conclusion,three polysaccharides have good biological activities,which provide an experimental basis for their application in functional food,pharmaceuticals,and cosmetics.
关键词
玉米须/多糖/理化性质/抗氧化/降血糖、抗肿瘤Key words
Corn silk/Polysaccharide/Physicochemical characteristics/Antioxidant/Hypoglycemic/Antitumor引用本文复制引用
基金项目
上海市科技兴农项目(沪农科推字2022第1-10号)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据