Chen Yanfeng, Weng Huachun, Tang Zengxu, Lu Junjie, Wang Liqiang, Xu Weisheng
College of Medical Technology, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China.
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Wei Sheng Yan Jiu. 2025 Jul;54(4):573-581. doi: 10.19813/j.cnki.weishengyanjiu.2025.04.007.
To establish a high performance liquid chromatography(HPLC) method for determination of flavonoids(epicatechin, L-epicatechin, quercetin, luteolin and kaempferol) and phenolic acids(gallic acid, chlorogenic acid, caffeic acid, p-coumaric acid, and ferulic acid) in vegetables.
Phenolic compounds were isolated by ethanol-water(1∶1, V/V) from homogenized vegetable samples under ultrasonic extraction at 50 ℃ for 10 min. The supernatant after centrifugation was dried and re-dissolved, which was eluted with Symmetry C_(18)(4.6 mm× 250 mm, 5 μm) chromatographic column at 280 nm wavelength, and quantified by external standard method.
The 10 phenolic compounds could be separated within 40 min, with linear correlation coefficients greater than 0.999. The detection limit was 0.006-0.034 μg/g, and the limit of quantitation of the method was 0.020-0.100 μg/g. The recoveries of phenolic compounds in the three vegetables were 57.7%-96.8%, and the relative standard deviation of recoveries were less than 11.3%(n=6). The composition and concentration of phenolic compounds in 25 kinds of vegetable samples were different, and the total concentration of phenolic compounds in brassica vegetables were the highest.
The method is sensitive, accurate and reproducible, and is suitable for the determination of phenolic compounds in vegetables.
建立一种高效液相色谱法(HPLC),用于测定蔬菜中的黄酮类化合物(表儿茶素、L-表儿茶素、槲皮素、木犀草素和山奈酚)和酚酸类化合物(没食子酸、绿原酸、咖啡酸、对香豆酸和阿魏酸)。
采用乙醇-水(1∶1,V/V)从匀浆后的蔬菜样品中提取酚类化合物,于50℃超声提取10分钟。离心后的上清液经干燥后重新溶解,以Symmetry C₁₈(4.6 mm×250 mm,5μm)色谱柱在280 nm波长下进行洗脱,采用外标法进行定量分析。
10种酚类化合物可在40分钟内实现分离,线性相关系数均大于0.999。检测限为0.006 - 0.034μg/g,方法定量限为0.020 - 0.100μg/g。三种蔬菜中酚类化合物的回收率为57.7% - 96.8%,回收率的相对标准偏差小于11.3%(n = 6)。25种蔬菜样品中酚类化合物的组成和含量各不相同,十字花科蔬菜中酚类化合物的总含量最高。
该方法灵敏、准确、重现性好,适用于蔬菜中酚类化合物的测定。