Electrochemical sensors and biosensors have become indispensable in diverse fields, including biomedical diagnostics, environmental monitoring, and food safety. However, their performance in terms of sensitivity, selectivity, and detection limits, remains constrained by conventional transduction mechanisms. Nanotechnology has emerged as a transformative approach to address these limitations by enhancing signal transduction at the nanoscale. Despite significant advancements, a research gap remains in understanding the mechanistic interplay between nanomaterials and transduction processes across different sensor platforms. This review aims to bridge this gap by systematically exploring the role of nanotechnology in augmenting electrochemical transduction mechanisms. It highlights the integration of nanomaterials such as carbon-based structures, metal nanoparticles, and quantum dots with various electrochemical transducers, including amperometric, potentiometric, impedimetric, and field-effect transistor (FET) systems. By analyzing recent research, we identify how these nanostructures improve electron transfer efficiency, enhance surface reactivity, and enable miniaturization, resulting in superior sensor performance metrics such as lower detection limits, faster response times, and enhanced stability. The implications of these findings extend to critical applications, such as early disease diagnosis, pollutant detection, and real-time monitoring. Challenges like material scalability, biocompatibility, and long-term stability are also discussed, alongside regulatory and economic considerations. The review concludes by suggesting future research directions, emphasizing the need for interdisciplinary approaches that combine nanotechnology with artificial intelligence and Internet of Things platforms to enable next-generation smart sensors. This study underscores the transformative potential of nanotechnology in revolutionizing electrochemical sensors and biosensors while highlighting avenues for future innovation.
Abdulraheem et al. (2026) studied this question.
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