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评估掺硼金刚石电极在食品和环境基质中高度灵敏伏安法测定偶氮染料胭脂红 E-122 中的应用。

Assessment of the use of boron-doped diamond electrode for highly sensitive voltammetric determination of the azo-dye carmoisine E-122 in food and environmental matrices.

机构信息

Laboratório de Eletroanalítica e Sensores, Departamento de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina, CEP 86057-970, Londrina - PR, Brazil.

Laboratório de Eletroanalítica e Sensores, Departamento de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina, CEP 86057-970, Londrina - PR, Brazil.

出版信息

Talanta. 2020 Dec 1;220:121417. doi: 10.1016/j.talanta.2020.121417. Epub 2020 Jul 18.

Abstract

A new protocol for the analysis of the azo-dye carmoisine (CMS) is presented by coupling differential pulse voltammetry (DPV) with a cathodically pretreated boron-doped diamond electrode (CPT-BDDE), in phosphate buffer solution (pH 2.0). The CMS presented diffusion-controlled oxidation and reduction peaks at +0.88 and -0.15 V vs Ag/AgCl, respectively. The effect of the pretreatment conditions, pH, and supporting electrolytes were evaluated to the voltammetric determination of CMS. Under optimized conditions, the differential pulse voltammetric signals for CMS were linear over the concentration range of 0.059-1.31 μmol L and 0.010-0.079 μmol L with limits of detection of 7.0 and 3.0 nmol L, for the anodic and cathodic processes respectively. The method was precise for CMS determination (RSD < 5.0%) and selective against other dyes. The developed protocol was successfully applied in the analysis of CMS in surface water and foodstuffs with accurate results in comparison with those obtained using a validated spectrophotometric method.

摘要

本文提出了一种新的偶氮染料胭脂红(CMS)分析方案,该方案将差分脉冲伏安法(DPV)与阴极预处理的掺硼金刚石电极(CPT-BDDE)相结合,在磷酸盐缓冲溶液(pH 2.0)中进行。CMS 在 +0.88 和 -0.15 V 相对于 Ag/AgCl 处分别呈现出扩散控制的氧化和还原峰。研究了预处理条件、pH 值和支持电解质对 CMS 伏安测定的影响。在优化条件下,CMS 的差分脉冲伏安信号在 0.059-1.31 μmol L 和 0.010-0.079 μmol L 的浓度范围内呈线性,检测限分别为 7.0 和 3.0 nmol L,对应于阳极和阴极过程。该方法对 CMS 测定具有较高的精密度(RSD < 5.0%),并且对其他染料具有选择性。与经过验证的分光光度法相比,该方法成功地应用于地表水和食品中 CMS 的分析,结果准确。

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