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基于大麻球形 AgNPs-SERS 的快速检测祁门红茶中的多种着色剂掺假。

Rapid detection of multiple colorant adulteration in Keemun black tea based on hemp spherical AgNPs-SERS.

机构信息

State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230036, China.

State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230036, China.

出版信息

Food Chem. 2023 Jan 1;398:133841. doi: 10.1016/j.foodchem.2022.133841. Epub 2022 Aug 2.

Abstract

This study synthesized stable and sensitive hemp spherical AgNPs as the SERS substrate for the simultaneous and rapid detection of sunset yellow, lemon yellow, carmine and erythrosine adulteration in black tea. With R6G as the probe molecule, the AgNPs were determined to have satisfactory stability over 60 days with an enhancement factor of 10. The effects of three variable screening methods on model performance were compared. Among them, CARS-PLS exhibited superior performance for the quantification of all the four colorants, with prediction set correlation coefficients of 0.95, 0.97, 0.99 and 0.88, respectively. The differentiation of the mixed colorants was also achieved, with recoveries ranging from 91.87 % to 106.5 % with RSD value <1.97 %, demonstrating the high accuracy and precision of the proposed method. The results indicate that AgNPs-based SERS is an effective method and has substantial potential for application in the identification and quantification of colorant in tea.

摘要

本研究合成了稳定且灵敏的大麻球形 AgNPs 作为 SERS 基底,用于同时快速检测红茶中日落黄、柠檬黄、胭脂红和赤藓红的掺假。以 R6G 作为探针分子,AgNPs 在 60 天内具有令人满意的稳定性,增强因子为 10。比较了三种变量筛选方法对模型性能的影响。其中,CARS-PLS 对所有四种着色剂的定量表现出优异的性能,预测集相关系数分别为 0.95、0.97、0.99 和 0.88。还实现了混合着色剂的区分,回收率范围为 91.87%至 106.5%,RSD 值<1.97%,表明该方法具有较高的准确性和精密度。结果表明,基于 AgNPs 的 SERS 是一种有效的方法,在茶叶中着色剂的鉴定和定量方面具有很大的应用潜力。

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