CAPACITANCE BIOSENSORS FOR THE RAPID DETECTION OF ESCHERICHIA COLI IN WATER
Abstract
Ensuring the safety of drinking water and environmental water sources is a critical public health priority, with microbial contamination, particularly by fecal indicator bacteria like Escherichia coli (E. coli), posing significant risks. Traditional methods for detecting E. coli are often time-consuming, labor-intensive, and require specialized laboratory facilities, hindering rapid response to contamination events. This article explores the potential of capacitance biosensors as a rapid, label-free, and sensitive alternative for E. coli detection in water. The introduction highlights the importance of water quality monitoring and the limitations of current detection techniques. The methods section details the fundamental principles of impedance/capacitance microbiology and the design considerations for capacitance biosensors tailored for bacterial detection. The results synthesize current research demonstrating the efficacy of these biosensors in real-time monitoring of bacterial activity and specific pathogen identification. The discussion interprets the advantages and challenges of capacitance biosensors, emphasizing their potential for decentralized, on-site water quality assessment, and outlines future directions for research and development to achieve widespread adoption.
Keywords
References
Most read articles by the same author(s)
- Jean Paul Kazungu, Jean Pierre Ntayagabiri, Jeremie Ndikumagenge, M. Kokou Assogba, QUANTITATIVE EVALUATION OF ARTIFICIAL INTELLIGENCE IN HOSPITAL MANAGEMENT: SYSTEMATIC REVIEW OF REAL-WORLD IMPLEMENTATIONS AND OUTCOMES (2019–2024) , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Prof. Kavita Menon, An In-Depth Review of Recent Advances in Cables and Towed Objects for Ocean Engineering Towing Systems , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Dr. Aditya Wijaya, Dr. Putri Lestari, Next-Generation Semantic AI Infrastructure for Sustainable Business Intelligence , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Mateo Villarreal, Cloud-Enabled Big Data Analytics: Architectural Foundations, Security Challenges, And Sectoral Applications in The Era of Scalable Digital Intelligence , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Ismoyilov Diyorbek Bektemir og’li, Fayzillayeva Oykhon Qodir qizi, Esanova Dilsinoy Dilmurod qizi, Artificial Intelligence Today And In The Future , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Emily Chen, Improving Economic Results by Implementing Structured Administrative Governance , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Michael R. Thompson, Architecting Scalable Leader Selection and Community-Aware Coordination in Distributed Systems: A Submodular and Network-Theoretic Perspective , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Linh Thuy Nguyen, Kofi Mensah, OPTIMIZING SOFTWARE EFFORT ESTIMATION: A SYNERGISTIC HYBRID DEEP LEARNING FRAMEWORK WITH ENHANCED METAHEURISTIC OPTIMIZATION , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Aleksandar Iliev, Dr. Elena Stojanovsk, Systematic Analysis of Deep Learning Models for Performance Assessment , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Aarav Sharma, Ananya Patel, AI-Driven Scalability and Robotics Integration for Sustainable Construction Management , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
Similar Articles
- Alaric Whitemore, The Architecture of Quality: Integrating Machine Learning, Blockchain, and Automated Analysis for the Evolution of Secure and Modular Software Systems , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Kwame Mensah, Ama Owusu, Event-Driven Intelligent Manufacturing: Autonomous Exception Resolution Using Multi-Agent Generative AI and SAP S/4HANA , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Dr. Arjun Mehta, Cognitive Automation Architectures Advancing Pharmacy Benefit Service Governance Outcomes , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Dr. Elena Markovic, Adaptive Latency-Aware Microservice Orchestration and Anomaly-Resilient Edge–Cloud Architectures for Mixed Reality and Time-Critical Applications , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Andre Castillo, Role of Smart Digital Technologies in Enhancing Regulatory Alignment and Formal Documentation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Raka Pratama, Siti Maharani, Policy-Based Automation for Secure Governance of Machine and Workload Identities in Cloud IAM , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Diego Fernández Morales, Computational Methods for Equipment Health Assessment in Electrical Supply Networks , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Dr. Manish Jain, Future of Transportation Safety: Emerging Technologies, Challenges, And Opportunities , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Xavier P. Lockwood, From Reactive IT to Cognitive Operations: The Evolution of AI-Driven DevOps in Large-Scale Software Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dr. Amelia R. Foster, AI-Driven Cloud-Native Intelligence for Cost-Efficient, Secure, and Domain-Specific Decision Systems: An Integrative Research Study Across Hybrid Cloud Optimization, Healthcare Analytics, Edge-IoT, and E-Learning , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
You may also start an advanced similarity search for this article.