4.7 Article

Simultaneous determination of ascorbic and uric acids and dopamine in human serum samples using three-way calibration with data from square wave voltammetry

期刊

MICROCHEMICAL JOURNAL
卷 129, 期 -, 页码 205-212

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.microc.2016.07.004

关键词

Ascorbic acid; Uric acid; Dopamine; Square wave voltammetry; Three-way calibration

资金

  1. Agencia Nacional de Promocion Cientifica y Tecnologica FONCYT [PICT 0916/2010]
  2. Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) [PIP 112-201101-00184]
  3. Ministerio de Ciencia y Tecnologia de la Provincia de Cordoba (MINCyT) [PID 050/2010]
  4. Secretaria de Ciencia y Tecnica (SECT) from Universidad Nacional de Rio Cuarto [1230/2014]
  5. CONICET

向作者/读者索取更多资源

We present for the first time a novel analytical method based on a model of three-way calibration using second order data generated from the combination of records of forward (oxidation) and reverse (reduction) currents using a glassy carbon electrode modified with a dispersion of electrochemically reduced graphene oxide (GCE/RGO) as the working electrode, which can be obtained from a square wave voltammetry single experiment. This methodology was used for the simultaneous determination of ascorbic (AA) and uric (UA) adds, and dopamine (DO) in the presence de glucose (interfering species) in lyophilized human serum samples. The serum samples have analyte different concentration levels (normal and pathological levels). The forward and reverse currents were pre-processed using AsLS and COW, to generate the second order data and finally the data were modeled with the U-PLS algorithm. Recovery studies were made in order to validate the proposed method. Recovery percentages between 92.4 and 120% were obtained. The present method has the advantage to generate second order data through a simple voltammetric experiment. Among the advantages of the proposed method can be mentioned speed, easy data acquisition and the possibility of using modified electrodes with nano-structures. (C) 2016 Elsevier B.V. All rights reserved.

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