Wastewater-born eviruses and bacteria, surveillance and biosensors at the interface of academia and field deployment

废水 软件部署 复矩阵 生物传感器 生化工程 预警系统 环境科学 污水处理 生物技术 计算机科学 生物 纳米技术 工程类 环境工程 电信 化学 材料科学 色谱法 操作系统
作者
Rajendra Singh,Jaewon Ryu,Woo Hyoung Lee,Joo‐Hyon Kang,Sanghwa Park,Keugtae Kim
出处
期刊:Critical Reviews in Biotechnology [Taylor & Francis]
卷期号:: 1-21 被引量:2
标识
DOI:10.1080/07388551.2024.2354709
摘要

Wastewater is a complex, but an ideal, matrix for disease monitoring and surveillance as it represents the entire load of enteric pathogens from a local catchment area. It captures both clinical and community disease burdens. Global interest in wastewater surveillance has been growing rapidly for infectious diseases monitoring and for providing an early warning of potential outbreaks. Although molecular detection methods show high sensitivity and specificity in pathogen monitoring from wastewater, they are strongly limited by challenges, including expensive laboratory settings and prolonged sample processing and analysis. Alternatively, biosensors exhibit a wide range of practical utility in real-time monitoring of biological and chemical markers. However, field deployment of biosensors is primarily challenged by prolonged sample processing and pathogen concentration steps due to complex wastewater matrices. This review summarizes the role of wastewater surveillance and provides an overview of infectious viral and bacterial pathogens with cutting-edge technologies for their detection. It emphasizes the practical utility of biosensors in pathogen monitoring and the major bottlenecks for wastewater surveillance of pathogens, and overcoming approaches to field deployment of biosensors for real-time pathogen detection. Furthermore, the promising potential of novel machine learning algorithms to resolve uncertainties in wastewater data is discussed.
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