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July 16, 2025Sensors21 citationsOpen Access

Functional Nanomaterials for Advanced Bioelectrode Interfaces: Recent Advances in Disease Detection and Metabolic Monitoring

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JMJunlong MaCentral South UniversitySYSiyi YangChang'an UniversityZYZhi-Hao YangUniversity of International Business and Economics

Key Points

  • Recent advancements in nanomaterials significantly enhance bioelectrode performance for accurate disease detection.
  • Innovative interface designs improve electrophysiological and electrochemical signal acquisition for better monitoring.
  • The review addresses technical challenges related to biocompatibility and operational stability of nanomaterials.
  • Findings suggest that enhanced bioelectrodes can lead to breakthroughs in wearable medical devices for personalized health.

Abstract

As critical interfaces bridging biological systems and electronic devices, the performance of bioelectrodes directly determines the sensitivity, selectivity, and reliability of biosensors. Recent advancements in functional nanomaterials (e.g., carbon nanomaterials, metallic nanoparticles, 2D materials) have substantially enhanced the application potential of bioelectrodes in disease detection, metabolic monitoring, and early diagnosis through strategic material selection, structural engineering, interface modification, and antifouling treatment. This review systematically examines the latest progress in nanomaterial-enabled interface design of bioelectrodes, with particular emphasis on performance enhancements in electrophysiological/electrochemical signal acquisition and multimodal sensing technologies. We comprehensively analyze cutting-edge developments in dynamic metabolic parameter monitoring for chronic disease management, as well as emerging research on flexible, high-sensitivity electrode interfaces for early disease diagnosis. Furthermore, this work focused on persistent technical challenges regarding nanomaterial biocompatibility and long-term operational stability while providing forward-looking perspectives on their translational applications in wearable medical devices and personalized health management systems. The proposed framework offers actionable guidance for researchers in this interdisciplinary field.

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Cite This Study

Ma et al. (2025) studied this question.

synapsesocial.com/papers/689a02c3e6551bb0af8cc9cbhttps://doi.org/10.3390/s25144412
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