Department of Civil and Environmental Engineering, University of Massachusetts Lowell, Lowell, MA, USA.
United States Army Combat Capabilities Development Command, Combat Feeding Directorate, Natick, MA, USA.
Food Chem. 2021 Aug 1;352:129327. doi: 10.1016/j.foodchem.2021.129327. Epub 2021 Feb 23.
This paper describes a voltammetric method and data analysis program developed for the detection of arsenic(III) in commercial apple juice. Arsenic(III) was detected using square wave stripping voltammetry with gold nanoparticle modified screen printed electrodes. The only sample pretreatment performed was the addition of a 100 mM phosphate buffer with a pH of 7. To compensate for interference from high ascorbic acid concentrations, a data analysis program was developed in MATLAB to fit a non-linear baseline, allowing for accurate peak height measurement. With this data analysis program, the developed methodology had a sensitivity of 0.1007 µA (µg L) and a limit of detection of 16.73 µg L. A comparison between the voltammetric method and graphite furnace atomic absorption spectroscopy showed no bias in the voltammetric results and a good correlation between the two sets of predicted concentrations, with an R of 0.939.
本文描述了一种用于检测商业苹果汁中砷(III)的伏安法和数据分析程序。使用金纳米粒子修饰的丝网印刷电极进行方波 stripping 伏安法检测砷(III)。仅进行了一项样品预处理，即在 pH 值为 7 的 100 mM 磷酸盐缓冲液中添加样品。为了补偿高浓度抗坏血酸的干扰，在 MATLAB 中开发了一个数据分析程序来拟合非线性基线，从而可以准确测量峰高。使用此数据分析程序，所开发的方法的灵敏度为 0.1007 µA（µg L），检测限为 16.73 µg L。伏安法和石墨炉原子吸收光谱法的比较表明，伏安法结果没有偏差，并且两组预测浓度之间具有良好的相关性，相关系数为 0.939。
