4.6 Article

Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode

Journal

MOLECULES
Volume 27, Issue 19, Pages -

Publisher

MDPI
DOI: 10.3390/molecules27196410

Keywords

levodopa; non-enzymatic sensor; ITO electrode; FeVO4; Fe2V4O13

Funding

  1. INCT in Bioanalytics [2014/50867-3]
  2. CNPq [465389/2014-7]
  3. Fundacao Araucaria [38.647 SIT.22391]

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This study reports a facile approach for constructing a low-cost and remarkable electroactivity iron vanadate semiconductor material for dopamine detection. The structure and morphology of the iron vanadate obtained by the Successive Ionic Adsorption and Reaction process were characterized, and the photoelectrochemical characterization showed a high photoelectroactivity. Dopamine was successfully detected under best conditions, with good accuracy and selectivity. DFT-based electronic structure calculations were also conducted to help interpret the results.
This study reports a facile approach for constructing low-cost and remarkable electroactivity iron vanadate (Fe-V-O) semiconductor material to be used as a photoelectrochemical sensor for dopamine detection. The structure and morphology of the iron vanadate obtained by the Successive Ionic Adsorption and Reaction process were critically characterized, and the photoelectrochemical characterization showed a high photoelectroactivity of the photoanode in visible light irradiation. Under best conditions, dopamine was detected by chronoamperometry at +0.35 V vs. Ag/AgCl, achieving two linear response ranges (between 1.21 and 30.32 mu mol L-1, and between 30.32 and 72.77 mu mol L-1). The limits of detection and quantification were 0.34 and 1.12 mu mol L-1, respectively. Besides, the accuracy of the proposed electrode was assessed by determining dopamine in artificial cerebrospinal fluid, obtaining recovery values ranging from 98.7 to 102.4%. The selectivity was also evaluated by dopamine detection against several interferent species, demonstrating good precision and promising application for the proposed method. Furthermore, DFT-based electronic structure calculations were also conducted to help the interpretation. The dominant dopamine species were determined according to the experimental conditions, and their interaction with the iron vanadate photoanode was proposed. The improved light-induced DOP detection was likewise evaluated regarding the charge transfer process.

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