GET THE APP

Biosensors for Water Quality Monitoring: Ensuring Safe Drinking Water
..

International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

Opinion - (2025) Volume 14, Issue 1

Biosensors for Water Quality Monitoring: Ensuring Safe Drinking Water

Ferreira Julio*
*Correspondence: Ferreira Julio, Department of Industrial and Systems Engineering, University at Buffalo, New York, USA, Email:
Department of Industrial and Systems Engineering, University at Buffalo, New York, USA

Received: 21-Dec-2024, Manuscript No. sndc-25-161004; Editor assigned: 23-Dec-2024, Pre QC No. P-161004; Reviewed: 06-Jan-2025, QC No. Q-161004; Revised: 11-Jan-2025, Manuscript No. R-161004; Published: 18-Jan-2025 , DOI: 10.37421/2090-4886.2025.14.312
Citation: Julio, Ferreira. “Biosensors for Water Quality Monitoring: Ensuring Safe Drinking Water.” Int J Sens Netw Data Commun 14 (2025): 312.
Copyright: © 2025 Julio F. This is an open-access article distributed under the terms of the creative commons attribution license which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Introduction

Biosensors have become an essential tool for water quality monitoring, offering a rapid, sensitive and cost-effective solution for detecting contaminants in drinking water. With growing concerns about pollution, industrial waste and waterborne diseases, ensuring safe and clean water has never been more critical. Traditional water testing methods, such as chromatography and spectrophotometry, are often time-consuming, expensive and require skilled personnel. In contrast, biosensors provide real-time, on-site monitoring, making them ideal for applications in both developed and developing regions. One of the most significant advantages of biosensors is their ability to detect multiple contaminants simultaneously. Advanced biosensing platforms can integrate various biological recognition elements such as enzymes, antibodies and nucleic acids on a single chip, allowing for multiplex detection of bacteria, viruses, heavy metals and chemical pollutants in a single test. This capability is particularly useful in emergency situations, such as after natural disasters or chemical spills, where rapid water safety assessments are required to prevent outbreaks of waterborne diseases [1,2].

Description

Recent advancements in nanotechnology have further enhanced the performance of biosensors for water quality monitoring. Nanomaterials, including graphene, gold nanoparticles and carbon nanotubes, have been incorporated into biosensors to improve their sensitivity, stability and detection limits. For example, graphene-based electrochemical biosensors can detect extremely low concentrations of contaminants, such as lead or mercury, even at parts-per-billion levels. This level of precision is crucial, as even trace amounts of certain pollutants can have serious health consequences over time. Another breakthrough in water biosensor technology is the development of wireless and internet-connected devices. These smart biosensors are capable of transmitting real-time water quality data to cloud-based platforms, enabling remote monitoring and instant alerts for contamination events. This Internet of Things (IoT) enabled approach is particularly beneficial for municipal water treatment plants, where continuous monitoring of water distribution networks can help identify contamination sources before they reach households. It also has applications in agriculture, where irrigation water quality needs to be monitored to prevent crop damage and ensure food safety [3,4]. Many of these biosensors operate using simple colorimetric reactions, where a visible color change indicates the presence of contaminants.

Biosensors are also playing a key role in detecting emerging contaminants such as microplastics and pharmaceutical residues in water. The increasing use of plastic products and pharmaceutical drugs has led to significant pollution in water sources, with microplastics and active pharmaceutical ingredients being found in drinking water worldwide. Researchers are now developing biosensors that use specially designed biomolecules to detect and quantify these emerging pollutants, helping to assess their impact on human health and the environment. Another promising development in biosensor technology is the use of bioelectronic systems, where living microorganisms or biological cells are integrated into biosensing platforms. Microbial biosensors, for example, utilize bacteria that produce electrical signals in response to toxic substances, enabling the detection of pollutants in real-time. Such biosensors can be used for continuous, long-term monitoring of industrial wastewater discharge, ensuring that factories comply with environmental safety regulations. Paper-based biosensors are another cost-effective innovation in water quality monitoring. These disposable and eco-friendly biosensors require minimal resources to manufacture and can be used in low-resource settings where laboratory facilities are unavailable [5].

Conclusion

The future of biosensors for water quality monitoring is expected to bring even more sophisticated innovations. Scientists are exploring self-powered biosensors that use microbial fuel cells to generate energy from pollutants, eliminating the need for external power sources. AI-driven biosensor systems are also under development, capable of analyzing water quality trends and predicting potential contamination risks before they become critical. Biosensors are revolutionizing water quality monitoring by providing a fast, affordable and highly accurate solution for detecting contaminants. As the technology continues to evolve, biosensors will play an even greater role in ensuring global access to safe drinking water, protecting public health and promoting sustainable water resource management. Their integration with smart technology and AI-driven data analysis will further enhance their impact, making clean water more accessible to communities worldwide. This makes them ideal for use in remote villages, disaster relief operations and developing nations, where access to clean drinking water is a major public health challenge.

References

  1. Chu, Dapeng, Yong Mao, Haoxiang Li and Hong Bie, et al. “Dual-polarized multi-beam fixed-frequency beam scanning leaky-wave antenna.” Sens 23 (2023): 5070.

    Google Scholar, Crossref, Indexed at

  2. Le, Ha An, Trinh Van Chien, Tien Hoa Nguyen and Hyunseung Choo, et al. “Machine learning-based 5G-and-beyond channel estimation for MIMO-OFDM communication systems.” Sens 21 (2021): 4861.

    Google Scholar, Crossref, Indexed at

  3. He, Yulian, Yuansheng Wang, Mo Li and Qinghui Yang, et al “All-optical spatial terahertz modulator with surface-textured and passivated silicon.” Opt Express 29 (2021): 8914-8925.

    Google Scholar, Crossref, Indexed at

  4. Wang, Fubin, Fang Yang and Jian Song. “Constellation optimization under the ergodic VLC channel based on generalized spatial modulation.” Opt Express 28 (2020): 21202-21209.

    Google Scholar, Crossref, Indexed at

  5. Behera, Bikash Ranjan, Mohammed H. Alsharif and Abu Jahid. “Investigation of a circularly polarized metasurface antenna for hybrid wireless applications.” Micromachines 14 (2023): 2172.

    Google Scholar, Crossref, Indexed at

Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward