Talanta · 2026
Progresses in viral detection technologies for wastewater-based epidemiology.
СтатьяОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Tanaka Yuki, Salleh Nur Asinah Binte Mohamed, Ow Sian Yang, Zheng Xin Ting, Su Xiaodi, Sutarlie Laura
Аннотация
Wastewater-based epidemiology (WBE) has emerged as a powerful surveillance tool used to assess public health by tracking infectious materials shed into sewage systems by infected hosts. To enable a widespread implementation of WBE, advanced analytical technologies are required for timely, efficient, and accurate detection of the viruses from the complex water matrix. This review discusses key advancements in molecular methods and biosensors demonstrated on wastewater samples that largely enhance wastewater surveillance, including improved sensitivity, enhanced portability, shortened turnover time, integration with wastewater sample treatment, multiplexing ability, and the incorporation of artificial intelligence (AI)/machine learning (ML). We also compare the analytical performance of these advanced methods, their advantages, current challenges, and future direction on how they can better enable wastewater surveillance via efficient detection of targeted and emerging/untargeted viruses from wastewater.