Capacitive Biosensor for Rapid Detection of Avian (H5N1) Influenza and E. coli in Aerosols

作者：Joshin Kumar, Xu Meng, Y. Li, Shu-Wen You, Brookelyn M. Doherty, Woodrow D. Gardiner, John R. Cirrito, Carla M. Yuede, Ananya Benegal, Michael D. Vahey, Astha Joshi, Kuljeet Seehra, Adrianus C. M. Boon, Yin-Yuan Huang, Joseph V. Puthussery, Rajan K. Chakrabarty · 发表于：ACS Sensors · 年份：2025 · DOI：10.1021/acssensors.4c03087 · 被引用次数：19 · 研究领域：Advanced Chemical Sensor Technologies、Influenza Virus Research Studies、Viral gastroenteritis research and epidemiology

High Resolution Image Download MS PowerPoint Slide Airborne transmission via aerosols is a dominant route for the transmission of respiratory pathogens, including avian H5N1 influenza A virus and E. coli bacteria. Rapid and direct detection of respiratory pathogen aerosols has been a long-standing technical challenge. Herein, we develop a novel label-free capacitive biosensor using an interlocked Prussian blue (PB)/graphene oxide (GO) network on a screen-printed carbon electrode (SPCE) for direct detection of avian H5N1 and E. coli . A single-step electro- co -deposition process grows GO branches on the SPCE surface, while the PB nanocrystals simultaneously decorate around the GO branches, resulting in an ultrasensitive capacitive response at nanofarad levels. We tested the biosensor for H5N1 concentrations from 2.0 viral RNA copies/mL to 1.6 × 10 5 viral RNA copies/mL, with a limit of detection (LoD) of 56 viral RNA copies/mL. We tested it on E. coli for concentrations ranging from 2.0 bacterial cells/mL to 1.8 × 10 4 bacterial cells/mL, with a LoD of 5 bacterial cells/mL. The detection times for both pathogens were under 5 min. When integrated with a custom-built wet cyclone bioaerosol sampler, our biosensor could detect and quasi-quantitatively estimate H5N1 and E. coli concentrations in air with spatial resolutions of 93 viral RNA copies/m 3 and 8 bacterial cells/m 3, respectively. The quasi-quantification method, based on dilution and binary detection (positive/negative)...