Department of Chemistry, Federal University of Paraíba, 58051-970, João Pessoa, PB, Brazil.
School of Chemistry, College of Science, University of Lincoln, Brayford Pool, Lincoln, LN67TS, United Kingdom.
Anal Chim Acta. 2020 Oct 2;1132:36-46. doi: 10.1016/j.aca.2020.07.062. Epub 2020 Aug 5.
This work studied the use of three-dimensional voltammetry, particularly potential-time-current (E-t-i) data, on the development of electroanalytical methods. E-t-i data was obtained by taking chronoamperograms at potentials applied as pulses on a staircase waveform. By using this three-way kind of data and appropriate calibration algorithms, the possibility of achieving the second-order advantage was evaluated in the determination of ferrocyanide in the presence of the uncalibrated interference hydroquinone as a model system. The determination of acetaminophen in urine samples, where ascorbic acid and uric acid play the major roles as interferents was also studied. Parallel factor analysis (PARAFAC) and multivariate curve resolution alternating least-squares (MCR-ALS) were the algorithms employed in this work. Both algorithms successfully achieved the second-order advantage by correctly predicting the concentrations of the validation synthetic samples. Excellent predictions were obtained in the direct analysis of acetaminophen-spiked urine samples by E-t-i data and MCR-ALS.
这项工作研究了三维伏安法，特别是电位-时间-电流（E-t-i）数据，在电分析方法开发中的应用。E-t-i 数据是通过在阶梯波上施加脉冲电位来获得计时安培图而得到的。通过使用这种三向数据和适当的校准算法，在测定亚铁氰化物时评估了在存在未校准干扰对苯二酚的情况下实现二阶优势的可能性，这是一个模型系统。还研究了尿液样品中对乙酰氨基酚的测定，其中抗坏血酸和尿酸作为主要干扰物起作用。平行因子分析（PARAFAC）和多变量曲线分辨交替最小二乘法（MCR-ALS）是本工作中使用的算法。这两种算法都通过正确预测验证合成样品的浓度成功地实现了二阶优势。通过 E-t-i 数据和 MCR-ALS 对乙酰氨基酚加标尿液样品的直接分析，得到了很好的预测结果。
