Editorial
, Volume: 14( 2)Design and Performance of Electrochemical Sensors for Environmental and Biomedical Applications
Mei-Ling Chen* Department of Chemical Engineering, National Taiwan University, Taiwan *Corresponding author: Mei-Ling Chen, National Taiwan University, Taiwan, Email: mlchen@ntu.edu.tw Received: January 6, 2024; Accepted: January 12, 2025; Published: January 22, 2024
Abstract
Abstract Electrochemical sensors have become indispensable tools for real-time detection of chemical and biological species due to their high sensitivity, selectivity, and rapid response. This article presents a comprehensive overview of electrochemical sensor design principles, transduction mechanisms, and material innovations. Special attention is given to amperometric, potentiometric, and voltammetric sensors used in environmental monitoring and biomedical diagnostics. Advances in nanomaterials, surface functionalization, and miniaturization technologies have significantly improved sensor performance. The integration of electrochemical sensors with portable and wearable devices is also discussed, emphasizing their growing role in point-of-care testing and smart sensing platforms. Keywords: Electrochemical noise, corrosion monitoring, signal analysis, noise resistance, localized corrosion Electrochemical sensors, biosensors, nanomaterials, environmental monitoring, diagnostics Citation: Mei-Ling Chen. Design and Performance of Electrochemical Sensors for Environmental and Biomedical Applications. 2024;14 (2):282. © 2024 Trade Science Inc. Introduction The increasing demand for rapid and reliable analytical techniques has driven extensive research into electrochemical sensors. These sensors operate by converting chemical information into an electrical signal, offering advantages such as low detection limits, operational simplicity, and compatibility with miniaturized systems. Electrochemical sensors are widely applied in detecting pollutants, monitoring physiological markers, and ensuring food safety. Recent developments in electrode materials, including carbon nanostructures and metal nanoparticles, have enhanced electron transfer kinetics and analyte recognition. As interdisciplinary research continues to bridge chemistry, biology, and electronics, electrochemical sensors are poised to play a central role in next-generation analytical technologies. Corrosion remains a critical challenge in industrial systems, leading to material degradation, economic losses, and safety risks. Traditional electrochemical techniques such as polarization resistance and impedance spectroscopy provide valuable insights but often require system perturbation, which may alter natural corrosion processes. Electrochemical noise analysis offers an alternative approach by measuring spontaneous fluctuations generated by electrochemical reactions occurring on metal surfaces. These fluctuations arise from stochastic events such as pit initiation, film breakdown, and mass transport variations. Over the past two decades, advances in data acquisition systems and digital signal processing have significantly improved the reliability and interpretability of electrochemical noise measurements. As a result, ENA has gained increasing acceptance as a practical tool for in-situ corrosion monitoring in pipelines, marine structures, and reinforced concrete systems. Conclusion Electrochemical sensors continue to evolve as versatile analytical devices with broad application potential. Innovations in materials science and device engineering have substantially improved their sensitivity, stability, and portability. Despite challenges related to long-term performance and interference effects, ongoing research efforts are addressing these limitations. The future of electrochemical sensing lies in smart, connected systems capable of continuous monitoring and data-driven decision-making. Electrochemical noise analysis represents a robust and sensitive technique for understanding corrosion mechanisms without disturbing the system under study. Its ability to detect early-stage localized corrosion makes it particularly valuable for industrial applications requiring continuous monitoring. While challenges remain in data interpretation and standardization, ongoing advancements in signal processing and modeling are steadily enhancing the predictive capabilities of ENA. Future research focused on integrating ENA with machine learning and multi-sensor platforms is expected to further expand its applicability in corrosion science and engineering. REFERENCES 1. James M, Stokes R, Wan NG et al. Chemical Connections 2, VCE Chemistry Units 3 and 4, Jacaranda 2nd Edition, John Wiley and Sons Australia. 2000;Chapters 14 and 15:274-314. 2. Smith R. Conquering chemistry. Mc Graw Hill HSC Course, 3rd Edition, Mc Graw Hill Australia. 2001;Chapter 3:67-91. 3. Leo M. Likar. Background ionized radiation battery energy nuclear. Res Rev Electrochemistry. 2019; 9(Article in press):3. 4. Leo M. Likar. Background ionized radiation battery energy nuclear. Res Rev Electrochemistry. 2019; 9(Article in press):4. 5. Gautreau R, Savin W. Theory and problems of modern physics. Schaum’s Outlines 2nd Edition Mc Graw Hill. 1999;Chapters 19 and 20:193-223.
