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

Airborne transmission via aerosols is a dominant route for the transmission of respiratory pathogens, including avian H5N1 influenza A virus and <i>E. coli</i> 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 <i>E. coli</i>. A single-step electro-<i>co</i>-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<sup>5</sup> viral RNA copies/mL, with a limit of detection (LoD) of 56 viral RNA copies/mL. We tested it on <i>E. coli</i> for concentrations ranging from 2.0 bacterial cells/mL to 1.8 × 10<sup>4</sup> 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 <i>E. coli</i> concentrations in air with spatial resolutions of 93 viral RNA copies/m<sup>3</sup> and 8 bacterial cells/m<sup>3</sup>, respectively. The quasi-quantification method, based on dilution and binary detection (positive/negative), achieved an overall accuracy of >90% for pathogen-laden aerosol samples. This biosensor is adaptable for multiplexed detection of other respiratory pathogens, making it a versatile tool for real-time airborne pathogen monitoring and risk assessment.

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Publication Details

Journal
ACS Sensors
Published
2025-02-21
DOI
https://doi.org/10.1021/acssensors.4c03087
Citations
11
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
7.42

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article

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

Ananya Benegal, Y. Li, Joshin Kumar, Yin-Yuan Huang et al.
11 citations
ACS Sensors
Advanced Chemical Sensor Technologies
7.42
article

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

Ananya Benegal, Y. Li, Joshin Kumar, Yin-Yuan Huang, Carla M. Yuede, Adrianus C. M. Boon, Joseph V. Puthussery, Kuljeet Seehra, Woodrow D. Gardiner, Astha Joshi, Rajan K. Chakrabarty, John R. Cirrito, Brookelyn M. Doherty, Shu-Wen You, Michael D. Vahey, Xu Meng
article en
11 citations

Abstract

Airborne transmission via aerosols is a dominant route for the transmission of respiratory pathogens, including avian H5N1 influenza A virus and <i>E. coli</i> 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 <i>E. coli</i>. A single-step electro-<i>co</i>-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<sup>5</sup> viral RNA copies/mL, with a limit of detection (LoD) of 56 viral RNA copies/mL. We tested it on <i>E. coli</i> for concentrations ranging from 2.0 bacterial cells/mL to 1.8 × 10<sup>4</sup> 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 <i>E. coli</i> concentrations in air with spatial resolutions of 93 viral RNA copies/m<sup>3</sup> and 8 bacterial cells/m<sup>3</sup>, respectively. The quasi-quantification method, based on dilution and binary detection (positive/negative), achieved an overall accuracy of >90% for pathogen-laden aerosol samples. This biosensor is adaptable for multiplexed detection of other respiratory pathogens, making it a versatile tool for real-time airborne pathogen monitoring and risk assessment.

ACS SensorsVol. 10(5)
Washington University in St. Louis (US), Hope Center for Neurological Disorders (US), Bipar (FR)
Flu Lab
Openalex Percentile: Top 3%
Advanced Chemical Sensor Technologies
7.42
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