Next Article in Journal
Carboxymethyl Dextran-Based Biosensor for Simultaneous Determination of IDO-1 and IFN-Gamma in Biological Material
Previous Article in Journal
Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale Entropy Analysis
Previous Article in Special Issue
Recent Advances in Flexible Sensors for Neural Interfaces: Multimodal Sensing, Signal Integration, and Closed-Loop Feedback
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Electrochemical Impedance Spectroscopy-Based Biosensors for Label-Free Detection of Pathogens

1
College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
2
Qianwan Institute, Ningbo Institute of Materials Technology and Engineering (NlMTE), Chinese Academy of Sciences, Ningbo 315201, China
3
State Key Laboratory of Advanced Marine Materials, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China
4
China College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
5
Faculty of Sports Science, Ningbo University, Ningbo 315211, China
6
Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
*
Authors to whom correspondence should be addressed.
Biosensors 2025, 15(7), 443; https://doi.org/10.3390/bios15070443
Submission received: 5 June 2025 / Revised: 2 July 2025 / Accepted: 9 July 2025 / Published: 10 July 2025
(This article belongs to the Special Issue Material-Based Biosensors and Biosensing Strategies)

Abstract

The escalating threat of infectious diseases necessitates the development of diagnostic technologies that are not only rapid and sensitive but also deployable at the point of care. Electrochemical impedance spectroscopy (EIS) has emerged as a leading technique for the label-free detection of pathogens, offering a unique combination of sensitivity, non-invasiveness, and adaptability. This review provides a comprehensive overview of the design and application of EIS-based biosensors tailored for pathogen detection, focusing on critical components such as biorecognition elements, electrode materials, nanomaterial integration, and surface immobilization strategies. Special emphasis is placed on the mechanisms of signal generation under Faradaic and non-Faradaic modes and how these underpin performance characteristics such as the limit of detection, specificity, and response time. The application spectrum spans bacterial, viral, fungal, and parasitic pathogens, with case studies highlighting detection in complex matrices such as blood, saliva, food, and environmental water. Furthermore, integration with microfluidics and point-of-care systems is explored as a pathway toward real-world deployment. Emerging strategies for multiplexed detection and the utilization of novel nanomaterials underscore the dynamic evolution of the field. Key challenges—including non-specific binding, matrix effects, the inherently low ΔRct/decade sensitivity of impedance transduction, and long-term stability—are critically evaluated alongside recent breakthroughs. This synthesis aims to support the future development of robust, scalable, and user-friendly EIS-based pathogen biosensors with the potential to transform diagnostics across healthcare, food safety, and environmental monitoring.
Keywords: biorecognition strategies; nanomaterial enhancement; non-faradaic detection; point-of-care diagnostics; microfluidic integration biorecognition strategies; nanomaterial enhancement; non-faradaic detection; point-of-care diagnostics; microfluidic integration

Share and Cite

MDPI and ACS Style

Zhang, H.; Sun, Z.; Sun, K.; Liu, Q.; Chu, W.; Fu, L.; Dai, D.; Liang, Z.; Lin, C.-T. Electrochemical Impedance Spectroscopy-Based Biosensors for Label-Free Detection of Pathogens. Biosensors 2025, 15, 443. https://doi.org/10.3390/bios15070443

AMA Style

Zhang H, Sun Z, Sun K, Liu Q, Chu W, Fu L, Dai D, Liang Z, Lin C-T. Electrochemical Impedance Spectroscopy-Based Biosensors for Label-Free Detection of Pathogens. Biosensors. 2025; 15(7):443. https://doi.org/10.3390/bios15070443

Chicago/Turabian Style

Zhang, Huaiwei, Zhuang Sun, Kaiqiang Sun, Quanwang Liu, Wubo Chu, Li Fu, Dan Dai, Zhiqiang Liang, and Cheng-Te Lin. 2025. "Electrochemical Impedance Spectroscopy-Based Biosensors for Label-Free Detection of Pathogens" Biosensors 15, no. 7: 443. https://doi.org/10.3390/bios15070443

APA Style

Zhang, H., Sun, Z., Sun, K., Liu, Q., Chu, W., Fu, L., Dai, D., Liang, Z., & Lin, C.-T. (2025). Electrochemical Impedance Spectroscopy-Based Biosensors for Label-Free Detection of Pathogens. Biosensors, 15(7), 443. https://doi.org/10.3390/bios15070443

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop