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Electrochemical detection of caffeine in sports drinks based on molecular imprinting technology

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Abstract

This work presents the development of a novel electrochemical sensor for caffeine detection in sports drinks, utilizing molecular imprinting technology with surface-imprinted nanoparticles. Key to this study is the synthesis of caffeine-imprinted polypyrrole nanoparticles via electropolymerization, which displayed a high specific surface area (25 m2/g) and efficient template binding. The sensor exhibited a notable linear detection range from 30 to 150 µM and a significantly low limit of detection at 2.5 µM. Characterization of the nanoparticles was rigorously conducted using SEM, FTIR, and BET analysis. Optimized sensing conditions were established at pH 5, with a 5 min accumulation time and a scan rate of 50 mV/s, ensuring high sensitivity and selectivity. Practical application was demonstrated through the accurate detection of caffeine in commercially available sports drinks, with recovery rates ranging from 97.6 to 101.5%. This research underscores the potential of molecularly imprinted polymer-based sensors in simplifying and enhancing the detection of caffeine in complex matrices, offering a promising tool for health monitoring and sports performance analysis.

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Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

This work was supported by the Education Department of Sichuan Province (Multi source data-driven green governance and sustainable development of the sports industry towards the "dual carbon" strategic goal Research on the Path of Development, No. XXTYCY2023B04) and Research and innovation of teaching mode and quantitative evaluation of college public tennis course based on data driven (NO.CJF23072)

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Authors and Affiliations

  1. Department of Physical Education, School of Physical Education, Xihua University, Pidu District, Chengdu, 610039, Sichuan, China

    Huan Li

  2. Department of Computer Science, School of Computer and Software Engineering, Xihua University, Pidu District, Chengdu, 610039, Sichuan, China

    Dongmei Wei

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  1. Huan Li
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Correspondence to Huan Li.

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Li, H., Wei, D. Electrochemical detection of caffeine in sports drinks based on molecular imprinting technology. Food Measure (2024). https://doi.org/10.1007/s11694-024-02427-8

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