[en] Water quality can affect all aspects of life, such as food, energy, health, and the economy. Early detection of threats from polluted water can protect all aspects of life and habitat degradation. Traditional wastewater monitoring techniques are sophisticated, require rapid sampling, have a high cost, and are time-consuming; it also fails to monitor timely change in pollutant concentration. The development of biosensors has attracted substantial attention for their precise monitoring, high sensitivity, simplicity, reliability, low cost, and online monitoring. This chapter provides a general overview of a biosensor used for online monitoring of several pollutants including toxic pollutants, nitrogen, and organic pollutants present in wastewater, as well as monitoring of infectious disease outbreaks through wastewater. Furthermore, the chapter includes future trends and perspectives of biosensors in wastewater.
Disciplines :
Civil engineering
Author, co-author :
Srivastava, Pratiksha; Australian Maritime College, College of Sciences and Engineering, University of Tasmania, Launceston, Australia
MITTAL, Yamini ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) ; Environment and Sustainability Department, CSIR-Institute of Minerals and Materials Technology, Bhubaneswar, India ; Academy of Scientific and Innovative Research (AcSIR), CSIR-Human Resource Development Centre, Ghaziabad, India
Gupta, Supriya; Environment and Sustainability Department, CSIR-Institute of Minerals and Materials Technology, Bhubaneswar, India ; Academy of Scientific and Innovative Research (AcSIR), CSIR-Human Resource Development Centre, Ghaziabad, India
Abbassi, Rouzbeh; School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, Australia
Garaniya, Vikram; Australian Maritime College, College of Sciences and Engineering, University of Tasmania, Launceston, Australia
External co-authors :
yes
Language :
English
Title :
Recent progress in biosensors for wastewater monitoring and surveillance
Publication date :
2022
Main work title :
Artificial Intelligence and Data Science in Environmental Sensing
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