4.6 Article

A Silver-Loaded Exfoliated Graphite Nanocomposite Anti-Fouling Electrochemical Sensor for Bisphenol A in Thermal Paper Samples

期刊

ACS OMEGA
卷 6, 期 14, 页码 9401-9409

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsomega.0c05836

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资金

  1. National Research Foundation, South Africa (CPRR grant) [118546]
  2. Centre for Nanomaterials Science Research, University of Johannesburg, South Africa

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Silver nanoparticles were synthesized and loaded onto exfoliated graphite layers to form a composite, which was then compressed into a pellet and used as an electrochemical sensor for bisphenol A detection. The sensor showed linear response to BPA concentrations, with a low detection limit and good reproducibility. The method was successfully applied to determine bisphenol A in thermal paper samples with accurate recovery rates.
Silver nanoparticles (AgNPs) were synthesized separately and loaded onto the expanded layers of exfoliated graphite (EG) to form a silver nanoparticle-exfoliated graphite nanocomposite (AgNPs-EG). The AgNPs-EG was compressed into a pellet (0.6 cm in diameter) and used to prepare an electrochemical sensor for bisphenol A (BPA) in standard samples and in thermal paper. The synthesized materials were characterized by ultraviolet-visible spectrophotometry, X-ray diffraction spectroscopy, scanning electron microscopy, and energy-dispersive X-ray. The electrochemical behavior of BPA on the AgNPs-EG sensor was investigated by cyclic voltammetry and square wave voltammetry. Under optimized experimental conditions, the oxidation peak current was linearly proportional to bisphenol A concentrations in the range from 5.0 to 100 mu M, with a coefficient of determination (R-2) of 0.9981. The obtained limit of detection of the method was 0.23 mu M. The fabricated sensor was able to overcome electrode fouling with good reproducibility (RSD = 2.62%, n = 5) by mechanical polishing of the electrode on emery paper. The proposed method was successfully applied to determine bisphenol A in thermal paper samples and demonstrated good accuracy of 93.1 to 113% recovery.

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