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<p>A novel analytical methodology based on a chrysin-modified pencil graphite electrode (Chr/PGE) was developed for the sensitive determination of caffeine (CAF) using differential pulse adsorptive stripping voltammetry (DPAdSV). The Chr/PGE was fabricated via cyclic voltammetry (CV) and fully characterized using CV, electrochemical impedance spectroscopy (EIS), and scanning electron microscopy (SEM). Under optimized conditions, the DPAdSV response exhibited a linear relationship with CAF concentration from 0.0075 to 0.1&#xa0;mM. The limit of detection (LOD) and limit of quantification (LOQ) were determined to be 1.485&#xa0;µM and 4.45&#xa0;µM, respectively. The practical performance of the Chr/PGE was successfully validated through the accurate quantification of CAF in authentic Turkish coffee samples, demonstrating the sensor’s robustness and effectiveness for applications in complex food matrices.</p> Graphical Abstract <p></p>

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Electrochemical Sensing of Caffeine in Turkish Coffee via a Natural Flavonoid-Modified Pencil Graphite Electrode: A Rapid and Cost-effective DPAdSV Approach

  • 期刊论文

  • 发表日期：

    2026年7月27日

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  • Aysel Rustemova,
  • Şeyma Korkmaz,
  • Wael Bosnali,
  • İbrahim Ender Mülazımoğlu,
  • Ayşen Demir Mülazımoğlu

摘要

A novel analytical methodology based on a chrysin-modified pencil graphite electrode (Chr/PGE) was developed for the sensitive determination of caffeine (CAF) using differential pulse adsorptive stripping voltammetry (DPAdSV). The Chr/PGE was fabricated via cyclic voltammetry (CV) and fully characterized using CV, electrochemical impedance spectroscopy (EIS), and scanning electron microscopy (SEM). Under optimized conditions, the DPAdSV response exhibited a linear relationship with CAF concentration from 0.0075 to 0.1 mM. The limit of detection (LOD) and limit of quantification (LOQ) were determined to be 1.485 µM and 4.45 µM, respectively. The practical performance of the Chr/PGE was successfully validated through the accurate quantification of CAF in authentic Turkish coffee samples, demonstrating the sensor’s robustness and effectiveness for applications in complex food matrices.

Graphical Abstract