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<p>A green synthesis method was adopted in this work to formulate the copper oxide nanoparticles <b>(</b>CuONPs) from locally procured coffea arabica leaves. The synthesized CuONPs were combined with graphene nanoplatelets (GNPs) and then electrochemically polymerized with aspartic acid (AA) to develop a poly (aspartic acid) layered copper oxide nanoparticles-graphene nanoplatelets composite sensor (PALCGCS) to analyze vanillin (VN) in food samples by voltammetric techniques like cyclic voltammetry (CV) and differential pulse voltammetry (DPV). Energy dispersive X-ray spectroscopy (EDXS) and X-ray diffraction (XRD) technique revealed the elemental composition and crystallinity of CuONPs. Furthermore, electrochemical impedance spectroscopy (EIS) and scanning electron microscopy (SEM) was employed to analyze and compare morphological and electrochemical features of PALCGCS and bare copper nanoparticles-graphene nanoplatelets composite sensor (BCGCS). The incorporation of CuONPs in the electrode material has evidently contributed to the augmented anodic current response. The modified sensor displayed high sensitivity towards VN with a limit of detection (LOD) of 0.05 µM and 0.16 µM in the linear range of 0.1 µM − 1.0 µM and 1.0 µM − 3.0 µM, respectively. Moreover, to validate the applicability, the designed PALCGCS was effectively employed in the detection of VN in various VN containing food stuffs.</p>

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Coffee Leaf-Derived CuO Nanocatalyst for Ultra-Sensitive Vanillin Sensing

  • 期刊论文

  • 发表日期：

    2026年4月29日

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  • B. M. Sharmila,
  • J. G. Manjunatha,
  • K. P. Moulya,
  • N. Hareesha,
  • Gaber E. Eldesoky

摘要

A green synthesis method was adopted in this work to formulate the copper oxide nanoparticles (CuONPs) from locally procured coffea arabica leaves. The synthesized CuONPs were combined with graphene nanoplatelets (GNPs) and then electrochemically polymerized with aspartic acid (AA) to develop a poly (aspartic acid) layered copper oxide nanoparticles-graphene nanoplatelets composite sensor (PALCGCS) to analyze vanillin (VN) in food samples by voltammetric techniques like cyclic voltammetry (CV) and differential pulse voltammetry (DPV). Energy dispersive X-ray spectroscopy (EDXS) and X-ray diffraction (XRD) technique revealed the elemental composition and crystallinity of CuONPs. Furthermore, electrochemical impedance spectroscopy (EIS) and scanning electron microscopy (SEM) was employed to analyze and compare morphological and electrochemical features of PALCGCS and bare copper nanoparticles-graphene nanoplatelets composite sensor (BCGCS). The incorporation of CuONPs in the electrode material has evidently contributed to the augmented anodic current response. The modified sensor displayed high sensitivity towards VN with a limit of detection (LOD) of 0.05 µM and 0.16 µM in the linear range of 0.1 µM − 1.0 µM and 1.0 µM − 3.0 µM, respectively. Moreover, to validate the applicability, the designed PALCGCS was effectively employed in the detection of VN in various VN containing food stuffs.