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Facile fabrication of CdS@GO binary nanocomposite coated GCE for separate and parallel electrochemical sensing of ascorbic acid, uric acid and nitrite

  • Carbon Letters
  • Abbr : Carbon Lett.
  • 2025, 35(2), pp.881~893
  • DOI : 10.1007/s42823-024-00838-7
  • Publisher : Korean Carbon Society
  • Research Area : Natural Science > Natural Science General > Other Natural Sciences General
  • Received : June 1, 2024
  • Accepted : December 23, 2024
  • Published : June 5, 2025

Dhamodharan A. 1 Murugan E. 2 Pang Huan 1 Perumal K. 3 Jhansirani K. 4 Gao Yajun 1

1Yangzhou University
2University of Madras
3Department of Physics, Science and Humanities, Jeppiaar Engineering College
4National Dong Hwa University,

Accredited

ABSTRACT

The accurate detection of vital biomarkers such as Ascorbic Acid (AA), Uric Acid (UA) and Nitrite (NO2−) is crucial for human health surveillance. However, existing methods often struggle with concurrent detection and quantification of multiple species, highlighting the need for a more effective solution. To address this challenge, this study aimed to develop a multifunctional electrochemical sensor capable of parallel detection of AA, UA and NO2− using a synergistic combination of Graphene Oxide (GO) and Cadmium Sulfide (CdS) materials. Notably, the fabricated CdS@GO/Glassy Carbon Electrode (GCE) exhibited exceptional electrochemical activity, as evidenced by Differential Pulse Voltammetry (DPV) analysis. The sensor demonstrated remarkable sensitivity (8.13, 10.12, and 9.05 μA·μM−1·cm−2) and ultra-low detection limits (0.034, 0.062, and 0.084 µM) for AA, UA and NO2−, respectively. Furthermore, it successfully identified single molecules of each analyte in aqueous and biologic fluid samples, with recovery values comparable to those obtained using High-Performance Liquid Chromatography (HPLC) standard addition methods. The significance of this study lies in developing a novel CdS@GO/GCE sensor that enables concurrent detection and quantification of multiple vital biomarkers, offering a promising tool for human health monitoring and diagnosis.

Citation status

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