Evaluating the Intensity of Bitter–Astringent Interactive Perception in Green Tea Based on the Weber–Fechner Law

IF 4.4 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Siying Li, Dongdong Du, Shaoming Cheng, Zhenbo Wei
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引用次数: 1

Abstract

This study aimed to quantify the bitter–astringent interactive perceived intensity (BAIPI) of green tea based on the Weber–Fechner law by two-alternative forced choice test. Caffeine, (-)-epigallocatechin-3-gallate (EGCG), and Quercetin-3-o-rutinoside (Que-rut) were identified as the key bitter–astringent compounds. Then, BAIPI values were assessed based on the concentration ratios and ranges of caffeine, EGCG, and Que-rut in green tea according to the Weber–Fechner law. The BAIPI values were further fitted to a logarithmic curve: yBAIPIvalue=a×lnxconcentration of caffeine−b−⁡c+IVinitialBAIPIvalue−1. The constant terms a, b, and c were derived from the ratio of caffeine to EGCG, as the slope and X-intercept of the curves correlated exponentially with this ratio. The initial BAIPI value (IV) was calculated as: IVinitialBAIPIvalue=18.7960−0.3956q(the ratio of caffeine to Que−rut). Validation showed a standard error of 1.5865 between estimated and actual BAIPI values. This method enables the estimation of bitter–astringent intensity in green tea by analyzing the concentrations of caffeine, EGCG, and Que-rut.
基于Weber-Fechner定律的绿茶苦-涩交互感知强度评价
本研究旨在基于Weber-Fechner定律,采用双选项强制选择检验,量化绿茶的苦涩味交互感知强度(BAIPI)。咖啡因、(-)-表没食子儿茶素-3-没食子酸酯(EGCG)和槲皮素-3-o-芦丁苷(Que-rut)被确定为苦涩味的关键化合物。然后,根据Weber-Fechner定律,根据绿茶中咖啡因、EGCG和Que-rut的浓度比和范围评估BAIPI值。BAIPI值进一步拟合成对数曲线:yBAIPIvalue=a×lnxconcentration of caffeine - b−(c) +IVinitialBAIPIvalue - 1。常数项a、b和c是从咖啡因与EGCG的比值推导出来的,因为曲线的斜率和x截距与这个比值呈指数相关。初始BAIPI值(IV)计算为:IVinitialBAIPIvalue=18.7960−0.3956q(咖啡因与Que−rut的比值)。验证表明,估计值与实际BAIPI值之间的标准误差为1.5865。这种方法可以通过分析咖啡因、EGCG和Que-rut的浓度来估计绿茶中的苦味强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemosensors
Chemosensors Chemistry-Analytical Chemistry
CiteScore
5.00
自引率
9.50%
发文量
450
审稿时长
11 weeks
期刊介绍: Chemosensors (ISSN 2227-9040; CODEN: CHEMO9) is an international, scientific, open access journal on the science and technology of chemical sensors published quarterly online by MDPI.The journal is indexed in Scopus, SCIE (Web of Science), CAPlus / SciFinder, Inspec, Engineering Village and other databases.
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