Saqib Muhammad, Solomonenko Anna N, Hazra Nirmal K, Aljasar Shojaa A, Korotkova Elena I, Dorozhko Elena V, Vashisth Mrinal, Kar Pradip K
Chemical Engineering Division, School of Earth Sciences and Engineering, National Research Tomsk Polytechnic University, 30 Lenin Avenue, 634050 Tomsk, Russia.
UNESCO Laboratory of Environmental Electrochemistry, Department of Analytical Chemistry, Faculty of Science, Charles University, Hlavova 8/2030, 128 43 Prague 2, Czech Republic.
Biosensors (Basel). 2025 Aug 4;15(8):505. doi: 10.3390/bios15080505.
Contamination of food with heavy metals is an important factor leading to serious health concerns. Rapid identification of these heavy metals is of utmost priority. There are several methods to identify traces of heavy metals in food. Conventional methods for the detection of heavy metal residues have their limitations in terms of cost, analysis time, and complexity. In the last decade, voltammetric analysis has emerged as the most prominent electrochemical determination method for heavy metals. Voltammetry is a reliable, cost-effective, and rapid determination method. This review provides a detailed primer on recent advances in the development and application of graphene-based electrochemical sensors for heavy metal monitoring over the last decade. We critically examine aspects of graphene modification (fabrication process, stability, cost, reproducibility) and analytical properties (sensitivity, selectivity, rapid detection, lower detection, and matrix effects) of these sensors. Furthermore, to our knowledge, meta-analyses were performed for the first time for all investigated parameters, categorized based on graphene materials and heavy metal types. We also examined the pass-fail criteria according to the WHO drinking water guidelines. In addition, the effects of heavy metal toxicity on human health and the environment are discussed. Finally, the contribution of heavy metal contamination to the seventeen Sustainable Development Goals (SDGs) stated by the United Nations in 2015 is discussed in detail. The results confirm the significant impact of heavy metal contamination across twelve SDGs. This review critically examines the existing knowledge in this field and highlights significant research gaps and future opportunities. It is intended as a resource for researchers working on graphene-based electrochemical sensors for the detection of heavy metals in food safety, with the ultimate goal of improving consumer health protection.
食品中的重金属污染是引发严重健康问题的一个重要因素。快速识别这些重金属至关重要。有多种方法可用于识别食品中的痕量重金属。传统的重金属残留检测方法在成本、分析时间和复杂性方面存在局限性。在过去十年中,伏安分析已成为检测重金属最突出的电化学测定方法。伏安法是一种可靠、经济高效且快速的测定方法。本综述详细介绍了过去十年中基于石墨烯的电化学传感器在重金属监测方面的发展与应用的最新进展。我们批判性地审视了这些传感器的石墨烯修饰方面(制备过程、稳定性、成本、重现性)和分析特性(灵敏度、选择性、快速检测、低检测限和基质效应)。此外,据我们所知,首次对所有研究参数进行了荟萃分析,并根据石墨烯材料和重金属类型进行了分类。我们还根据世界卫生组织饮用水指南研究了通过/失败标准。此外,还讨论了重金属毒性对人类健康和环境的影响。最后,详细讨论了重金属污染对联合国2015年提出的十七个可持续发展目标(SDG)的影响。结果证实了重金属污染对十二个可持续发展目标的重大影响。本综述批判性地审视了该领域的现有知识,突出了重大研究差距和未来机遇。它旨在为致力于基于石墨烯的电化学传感器以检测食品安全中的重金属的研究人员提供资源,最终目标是改善消费者健康保护。