Hydrothermally synthesized cobalt selenide graphene nanocomposite as a sensitive probe for electrochemical profiling of dopamine and uric acid


Khalid M., Younas M., Ali A., Nazir A., Ahmed A. Y., Bayach I., ...Daha Fazla

RSC Advances, cilt.16, sa.34, ss.32175-32188, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 34
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1039/d5ra08825a
  • Dergi Adı: RSC Advances
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chemical Abstracts Core, Compendex, Directory of Open Access Journals
  • Sayfa Sayıları: ss.32175-32188
  • Süleyman Demirel Üniversitesi Adresli: Evet

Özet

Electrochemical sensing is an affordable and efficient method for detecting a wide range of biologically, medically, and environmentally important substances. Carbon-based materials, such as graphene and carbon nanotubes, are commonly employed in the fabrication of electrochemical sensors due to their unique structures and advantageous properties including high electrocatalytic activity, minimal surface fouling, low cost, biocompatibility, and efficient electron transfer kinetics. This study proposes the hydrothermal synthesis of graphene based cobalt selenide (CoSe@GO) nanocomposites for electrochemical sensing of uric acid and dopamine. The as-fabricated electrode's structure and morphology were examined using scanning electron microscopy (SEM) coupled with energy-dispersive X-ray spectroscopy (EDS). X-rays diffraction (XRD) was employed to examine the crystalline structure and phase composition of the microelectrode material. While electrochemical performance was evaluated using various electrochemical methods, including cyclic voltammetry and chronoamperometry. The fabricated CoSe-GO@GCE sensor provides a good linear range of up to 1.6 mM and 2.0 mM with a low detection limit of 1.5 mM and 0.03 mM for dopamine and uric acid, respectively. By developing these advanced nanocomposites, this research seeks to enhance sensitivity, selectivity, and detection limits for uric acid and dopamine, contributing to improved biomedical diagnostics and monitoring.