TY - JOUR
T1 - Sensors for detection and monitoring of contaminants in wastewater
AU - Weerasinghe, Manura
AU - Jayathilaka, Keshani
AU - Vithanage, Meththika
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/6
Y1 - 2025/6
N2 - Wastewater contamination with hazardous materials poses a serious risk to the environment and public health and hence wastewater must be comprehensively monitored. Therefore, sensors have become essential instruments for identifying and measuring contaminants in wastewater. Sensors are of different types: chemical, electrochemical (nickel-based materials, carbon electrode with immobilized silver hexacyanoferrate nanoparticles), optical (cellulose membrane-based sensors, optical fluorescents), and biosensors (acetylcholinesterase, urease). Compared to the conventional electrochemical, optical and biosensors, real-time monitoring is more readily transportable, robust, affordable, and has a longer battery life. The future of wastewater monitoring is becoming more sensitive, smart, efficient, and resilient due to developments in sensor technologies and analytics, due to the involvement of real-time systems involving artificial intelligence and the Internet of Things. These developments have the potential to improve the reliability and precision of contaminants detection even further, creating the path to more secure environmental procedures and successful public health protection.
AB - Wastewater contamination with hazardous materials poses a serious risk to the environment and public health and hence wastewater must be comprehensively monitored. Therefore, sensors have become essential instruments for identifying and measuring contaminants in wastewater. Sensors are of different types: chemical, electrochemical (nickel-based materials, carbon electrode with immobilized silver hexacyanoferrate nanoparticles), optical (cellulose membrane-based sensors, optical fluorescents), and biosensors (acetylcholinesterase, urease). Compared to the conventional electrochemical, optical and biosensors, real-time monitoring is more readily transportable, robust, affordable, and has a longer battery life. The future of wastewater monitoring is becoming more sensitive, smart, efficient, and resilient due to developments in sensor technologies and analytics, due to the involvement of real-time systems involving artificial intelligence and the Internet of Things. These developments have the potential to improve the reliability and precision of contaminants detection even further, creating the path to more secure environmental procedures and successful public health protection.
UR - http://www.scopus.com/inward/record.url?scp=105001270598&partnerID=8YFLogxK
U2 - 10.1016/j.coesh.2025.100609
DO - 10.1016/j.coesh.2025.100609
M3 - Article
AN - SCOPUS:105001270598
SN - 2468-5844
VL - 45
JO - Current Opinion in Environmental Science and Health
JF - Current Opinion in Environmental Science and Health
M1 - 100609
ER -