食品科学2025，Vol.46Issue(11)：364-374,11.DOI:10.7506/spkx1002-6630-20241121-155
含硫氨基酸对代谢健康的影响及其检测方法研究进展
Research Progress in the Effects of Sulfur-Containing Amino Acids on Metabolic Health and a Review of the Methods for Their Detection
摘要
Abstract
Sulfur-containing amino acids(SAA),primarily including methionine,cysteine and cystine,are abundant in foods and play important roles in maintaining metabolic health.This article begins with a summary of the effects of varying levels of SAA intake on metabolic health.It discusses the benefits associated with moderate SAA restriction,such as lipid-and glucose-lowering effects,mitigation of oxidative stress,and extension of lifespan.It also covers the detrimental effects of excessive SAA restriction,such as growth retardation,increased oxidative stress,and reduced bone mass.Additionally,it explores the benefits of moderate additional SAA intake,such as promoting protein synthesis,improving liver glucose and lipid metabolism,and regulating redox homeostasis.It highlights the detrimental effects of excessive additional SAA intake,such as glucose and lipid metabolic disorders,increased oxidative stress,and an increased risk of cardiovascular diseases.Subsequently,this article reviews the sample pre-treatments(acid hydrolysis,oxidative hydrolysis,and dithiothreitol oxidative hydrolysis)and analytical methods(indirect analysis after derivatization and spectrophotometry)currently used to detect the SAA content in foods,with a discussion about their advantages and disadvantages.Finally,the methods for achieving SAA precision nutrition and their applications are examined.This review is expected to provide theoretical references for SAA detection in foods and the improvement of metabolic health through precision regulation of dietary SAA intake.关键词
含硫氨基酸/蛋氨酸/半胱氨酸/代谢健康/检测方法/精准营养Key words
sulfur-containing amino acids/methionine/cysteine/metabolic health/detection method/precision nutrition分类
医药卫生引用本文复制引用
杨浩,崔桂芳,鲁嫚嫚,王亚新,谢岩黎,杨玉辉..含硫氨基酸对代谢健康的影响及其检测方法研究进展[J].食品科学,2025,46(11):364-374,11.基金项目
中国博士后科学基金面上资助项目(2023M730977) （2023M730977）
河南省重点研发与推广专项(科技攻关)(232102110154) （科技攻关）
河南省科技研发计划联合基金项目(222103810062) （222103810062）
