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通过DPPH法测定各种特征性茶化合物在抗氧化能力中的贡献率。

The contribution ratio of various characteristic tea compounds in antioxidant capacity by DPPH assay.

作者信息

He Yansu, Lin Yong, Li Qingsheng, Gu Yuxuan

机构信息

School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, P.R. China.

School of Public Health, Zhejiang University, Hangzhou, P.R. China.

出版信息

J Food Biochem. 2020 Jul;44(7):e13270. doi: 10.1111/jfbc.13270. Epub 2020 May 11.

Abstract

Tea is a worldwide health beneficial beverage for its antioxidant ability. 1,1-diphenyl-2-picryl-hydrazyl (DPPH) assay is a common method to measure the antioxidant capacity of tea compounds, yet the contribution ratio of various characteristic tea compounds is still unclear. high-performance liquid chromatography (HPLC) was used to examine the content of polyphenol compounds in 24 tea samples from four tea categories (green tea, white tea, oolong tea, and black tea). Based on the results of DPPH and HPLC, contribution ratio of each tea compound was analyzed by the Pearson correlation analysis and the partial least squares regression (PLSR). The Pearson correlation analysis showed that the order of correlation between the area of 13 peaks and the antioxidant ability of tea samples was x8 > x6 > x3 > x13 > x10 > x7 > x2 > x5 > x11 > x9 > x4 > x12 > x1; the regression equation fit by PLSR was Y = 47.258 - 0.760x1 + 0.287x2 - 1.484x3 - 0.569x4 + 0.674x5 + 2.257x6 + 1.698x7 + 1.389x8 - 0.188x9 + 0.467x10 + 0.297x11 + 1.314x12 + 0.963x13. We identified nine common peaks by reference standard substances: the x3 was gallic acid (GA), x4 was theobromine, x5 was catechuic acid (CA), x6 was epigallocatechin (EGC), x8 was epigallocatechin gallate (EGCG), x9 was caffeine, x10 was epicatechin (EC), x12 was epicatechin gallate (ECG), and x13 was gallocatechin gallate (GCG). Based on the study of spectrum-effect correlation, we obtain a better understanding of the antioxidant activity of complex tea polyphenols component. PRACTICAL APPLICATIONS: Identify the contribution of specific chemical compound to antioxidant activity by the coefficients in PLSR equation and provide a deeper insight into the joint effect of multiple ingredients of tea. Further, we can infer the DPPH free radical scavenging ability of a new kind of tea by the PLSR equation without chemical detection.

摘要

茶因其抗氧化能力而成为一种全球有益健康的饮品。1,1-二苯基-2-苦基肼(DPPH)法是测定茶叶化合物抗氧化能力的常用方法,但各种特征性茶叶化合物的贡献率仍不明确。采用高效液相色谱法(HPLC)检测了来自绿茶、白茶、乌龙茶和红茶四类的24个茶叶样品中多酚类化合物的含量。基于DPPH和HPLC的结果,通过Pearson相关分析和偏最小二乘回归(PLSR)分析了每种茶叶化合物的贡献率。Pearson相关分析表明,13个峰面积与茶叶样品抗氧化能力之间的相关顺序为x8 > x6 > x3 > x13 > x10 > x7 > x2 > x5 > x11 > x9 > x4 > x12 > x1;PLSR拟合的回归方程为Y = 47.258 - 0.760x1 + 0.287x2 - 1.484x3 - 0.569x4 + 0.674x5 + 2.257x6 + 1.698x7 + 1.389x8 - 0.188x9 + 0.467x10 + 0.297x11 + 1.314x12 + 0.963x13。我们通过标准物质鉴定出9个共有峰:x3为没食子酸(GA),x4为可可碱,x5为儿茶素(CA),x6为表没食子儿茶素(EGC),x8为表没食子儿茶素没食子酸酯(EGCG),x9为咖啡因,x10为表儿茶素(EC),x12为表儿茶素没食子酸酯(ECG),x13为没食子儿茶素没食子酸酯(GCG)。基于谱效关系研究,我们对复杂茶多酚成分的抗氧化活性有了更好的理解。实际应用:通过PLSR方程中的系数确定特定化合物对抗氧化活性的贡献,并深入了解茶叶多种成分的联合作用。此外,我们可以通过PLSR方程推断一种新型茶的DPPH自由基清除能力,而无需进行化学检测。

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