A Field-Deployable Microfluidic CNT-FET Platform for Direct Monitoring of Multiplexed Respiratory Viruses in Environmental Waters
Environmental water-based epidemiology (EWBE) has emerged as a critical tool for population-level surveillance of respiratory viruses, yet its potential remains constrained by reliance on centralized laboratory assays that lack rapid, field-deployable capabilities. Here, we report a field-deployable biosensing platform that integrates carbon nanotube field-effect transistors (CNT-FETs) with a microfluidic sample processing module for direct, multiplexed detection of SARS-CoV-2, influenza, and respiratory syncytial virus in raw environmental waters. The microfluidic chip incorporates a hierarchical filtration architecture that removes environmental debris without the need for external pretreatment, enabling the delivery of intact virions to functionalized biosensor surfaces. The platform achieves a limit of detection of 10 −17 M for viral surface proteins and 10 0 TCID 50 /mL for intact virions, with a total assay time of under 5 min. In a validation study of 24 environmental water samples spiked with virus, the platform demonstrates 100% detection accuracy, with performance comparable to reverse transcription-polymerase chain reaction. By combining ultrasensitivity, multiplexing, and true field-readiness, this work addresses a critical gap between centralized molecular diagnostics and on-site EWBE applications, offering a scalable solution for near-source outbreak surveillance.
Authors
- Chunyun Wang (ORCID: https://orcid.org/0000-0002-1320-1296)
- Dianbing Wang (ORCID: https://orcid.org/0000-0001-6225-7010)
- Xian‐En Zhang (ORCID: https://orcid.org/0000-0003-1347-3168)
- 吕松 Lü Song
- Dong Men (ORCID: https://orcid.org/0000-0003-1190-9570)
- Chenyang Yang (ORCID: https://orcid.org/0000-0002-9265-9560)
- Rui Gong (ORCID: https://orcid.org/0000-0002-5000-1314)
- Bei He
- Fengyun Li
Institutions
- University of Alberta (CA)
- Shenzhen University (CN)
- Chinese Academy of Sciences (CN)
- Czech Academy of Sciences, Institute of Biophysics (CZ)
- Guangzhou Experimental Station (CN)
- Institut de Biologie systémique et synthétique (FR)
- Evolutionary Genomics (United States) (US)
- Shenzhen Institutes of Advanced Technology (CN)
- Shenzhen Technology University (CN)
- State Key Laboratory of Chemical Engineering (CN)
- Laboratoire des Biomolécules (FR)
- State Key Laboratory of Biomacromolecules (CN)
- Lanzhou University (CN)
- University of South China (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2026-06-18
- DOI
- https://doi.org/10.1021/acssensors.6c01300
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00