废水中的病毒和细菌、学术界和实地部署之间的监控和生物传感器。

IF 8.1 2区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Rajendra Singh, Jaewon Ryu, Woo Hyoung Lee, Joo-Hyon Kang, Sanghwa Park, Keugtae Kim
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引用次数: 0

摘要

废水是一个复杂但理想的疾病监测和监控矩阵,因为它代表了当地集水区的全部肠道病原体负荷。它既能捕捉到临床疾病负担,也能捕捉到社区疾病负担。全球对废水监测的兴趣一直在迅速增长,以用于传染病监测和提供潜在疾病爆发的早期预警。虽然分子检测方法在监测废水中的病原体方面显示出较高的灵敏度和特异性,但它们受到各种挑战的严重限制,包括昂贵的实验室环境和漫长的样品处理和分析时间。另外,生物传感器在实时监测生物和化学标记物方面具有广泛的实用性。然而,由于废水基质复杂,样品处理和病原体浓缩步骤耗时较长,这对生物传感器的实地应用构成了主要挑战。本综述总结了废水监测的作用,并概述了具有传染性的病毒和细菌病原体及其尖端检测技术。它强调了生物传感器在病原体监测中的实际效用、废水病原体监测的主要瓶颈,以及现场部署生物传感器实时检测病原体的克服方法。此外,还讨论了新型机器学习算法在解决废水数据不确定性方面的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wastewater-borne viruses and bacteria, surveillance and biosensors at the interface of academia and field deployment.

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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来源期刊
Critical Reviews in Biotechnology
Critical Reviews in Biotechnology 工程技术-生物工程与应用微生物
CiteScore
20.80
自引率
1.10%
发文量
71
审稿时长
4.8 months
期刊介绍: Biotechnological techniques, from fermentation to genetic manipulation, have become increasingly relevant to the food and beverage, fuel production, chemical and pharmaceutical, and waste management industries. Consequently, academic as well as industrial institutions need to keep abreast of the concepts, data, and methodologies evolved by continuing research. This journal provides a forum of critical evaluation of recent and current publications and, periodically, for state-of-the-art reports from various geographic areas around the world. Contributing authors are recognized experts in their fields, and each article is reviewed by an objective expert to ensure accuracy and objectivity of the presentation.
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