茶多酚抗氧化增效及其在油脂保鲜中的应用研究进展
Research Progress on the Antioxidant and Synergistic Effects of Tea Polyphenols and Their Application in Oil Preservation
蒋心怡 1傅立妮 1麦倩雯 1韩晓姗 1柯德森1
作者信息
- 1. 广州大学生命科学学院,广东广州 510006
- 折叠
摘要
茶多酚(Tea Ployphenols,TP)是茶叶中重要的功效成分,在医药卫生、保健食品行业中有较广泛的应用,但因其脂溶性较差而限制了在脂类食品保鲜中的应用.目前可通过溶剂法、包埋法、酰化修饰、酶催化修饰等方法增加茶多酚脂溶性.使用复配型茶多酚抗氧化剂的抗氧化效果往往要比使用同剂量的茶多酚本身效果强,即不同抗氧化剂之间可能存在协同增效作用.茶多酚发挥其抗氧化效用主要通过与自由基结合,且可通过螯合金属离子、偶联反应等与其他抗氧化剂作用以起到协同增效的效果.通过以上复配过程,茶多酚可有效防止植物油和动物油脂酸败.文章全面综述了增强茶多酚脂溶性的常见方法并对其优缺点作出相应分析总结,分析了目前茶多酚与其他天然抗氧化剂协同增效机理,并重点阐述了其在油脂防酸败中的应用,为后续研究提供指引和参考.
Abstract
Tea polyphenols(TP)are important active components in tea,widely used in medicine,health care,and the health food industry.However,their poor lipid solubility limits their application in the preservation of lipid-based foods.Currently,the lipid solubility of tea polyphenols can be increased by solvent methods,embedding methods,acylation modification,enzyme catalyzed modification and other techniques.The antioxidant effect of compounded tea polyphenol antioxidants is often stronger than using the same dose of tea polyphenol alone,indicating possible synergistic effects between different antioxidants.Tea polyphenols exert their antioxidant effects mainly by binding to free radicals,and may act synergistically with other antioxidants by chelating metal ions and coupling reactions.Through the above compounding process,tea polyphenols can effectively prevent the rancidity of vegetable oils and animal fats.This paper comprehensively reviewed the common methods to enhance the lipid solubility of tea polyphenols and summarized their advantages and disadvantages,analyzed the synergistic mechanisms between tea polyphenols and other natural antioxidants,and emphasized their application in the prevention of rancidity of fats and oils.It provides guidance and reference for future research.
关键词
茶多酚/抗氧化/增效/油脂保鲜/复配抗氧化剂Key words
Tea polyphenols/Antioxidation/Synergistic/Preservation of fats and oils/Compound antioxidants引用本文复制引用
基金项目
广东省大学生创新训练项目(2022)(s202211078132)
出版年
2024
国家科技期刊平台
NSTL
万方数据