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Abstract <p>This study presents the development of a novel electrochemical sensor for the determination of erlotinib (<b>ERT</b>), a non-small cell lung cancer drug, using a modified glassy carbon electrode composed of <i>p</i>-type cuprous delafossite CuBO<sub>2</sub> nanosheets and graphene quantum dots. The CuBO<sub>2</sub> was synthesized <i>via</i> a hydrothermal method and characterized using X-ray diffraction and scanning electron microscopy. The modified electrode exhibited enhanced electrocatalytic activity towards ERT oxidation, which caused a significant increase in oxidation current and shifted the oxidation potential to more negative values. The sensor demonstrated a linear response to ERT concentrations ranging from 1.0 to 60.0 µmol/L, with a detection limit of 0.5 µmol/L. The electrode also showed excellent stability, reproducibility, and selectivity, making it suitable for real sample analysis. The proposed method was successfully applied to determine ERT in human serum samples.</p>

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A Novel Electrochemical Sensor for the Determination of the Non-Small Cell Lung Cancer Drug Erlotinib Using p-Type Cuprous Delafossite CuBO2 Nanosheets and Graphene Quantum Dots

  • 期刊论文

  • 发表日期：

    2025年10月22日

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  • Foroozan Hasanpour,
  • Masoud Fouladgar

摘要

Abstract

This study presents the development of a novel electrochemical sensor for the determination of erlotinib (ERT), a non-small cell lung cancer drug, using a modified glassy carbon electrode composed of p-type cuprous delafossite CuBO2 nanosheets and graphene quantum dots. The CuBO2 was synthesized via a hydrothermal method and characterized using X-ray diffraction and scanning electron microscopy. The modified electrode exhibited enhanced electrocatalytic activity towards ERT oxidation, which caused a significant increase in oxidation current and shifted the oxidation potential to more negative values. The sensor demonstrated a linear response to ERT concentrations ranging from 1.0 to 60.0 µmol/L, with a detection limit of 0.5 µmol/L. The electrode also showed excellent stability, reproducibility, and selectivity, making it suitable for real sample analysis. The proposed method was successfully applied to determine ERT in human serum samples.