4.5 Article

Glassy Carbon Electrode Modified with C/Au Nanostructured Materials for Simultaneous Determination of Hydroquinone and Catechol in Water Matrices

期刊

CHEMOSENSORS
卷 9, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/chemosensors9050088

关键词

simultaneous determination; modified electrode; nanomaterials; hydroquinone; catechol; chemometric tool

资金

  1. FONDECYT [1170352]
  2. DICYT-USACh project [022142SG_POSTDOC]
  3. CONICYT/ANID [21, 160, 955, 190, 322]

向作者/读者索取更多资源

The simultaneous determination of hydroquinone and catechol was achieved using a glassy carbon electrode modified with Gold Nanoparticles (AuNP) and functionalized multiwalled carbon nanotubes. Good response, sensitivity, and detection limits were observed in winery wastewater samples, with the developed method also showing reliability in spiked tap water and industrial wastewater. Additionally, chemometric tools were successfully used to quantify both isomers in real matrices with prediction errors of lower than 10% in fortified wastewater.
The simultaneous determination of hydroquinone and catechol was conducted in aqueous and real samples by means of differential pulse voltammetry (DPV) using a glassy carbon electrode modified with Gold Nanoparticles (AuNP) and functionalized multiwalled carbon nanotubes by drop coating. A good response was obtained in the simultaneous determination of both isomers through standard addition to samples prepared with analytical grade water and multivariate calibration by partial least squares (PLS) in winery wastewater fortified with HQ and CT from 4.0 to 150.00 mu M. A sensitivity of 0.154 mu A mu M-1 and 0.107 mu A mu M-1, and detection limits of 4.3 and 3.9 mu M were found for hydroquinone and catechol, respectively. We verified the reliability of the developed method by simultaneously screening analytes in spiked tap water and industrial wastewater, achieving recoveries over 80%. In addition, this paper demonstrates the applicability of chemometric tools for the simultaneous quantification of both isomers in real matrices, obtaining prediction errors of lower than 10% in fortified wastewater.

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