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

作者信息

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

机构信息

Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.

Department of Neurology, Hope Center for Neurological Disease, Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, Missouri 63110, United States.

出版信息

ACS Sens. 2025 May 23;10(5):3381-3389. doi: 10.1021/acssensors.4c03087. Epub 2025 Feb 21.


DOI:10.1021/acssensors.4c03087
PMID:39982783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12105078/
Abstract

Airborne transmission via aerosols is a dominant route for the transmission of respiratory pathogens, including avian H5N1 influenza A virus and 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 . A single-step electro--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 viral RNA copies/mL, with a limit of detection (LoD) of 56 viral RNA copies/mL. We tested it on for concentrations ranging from 2.0 bacterial cells/mL to 1.8 × 10 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 concentrations in air with spatial resolutions of 93 viral RNA copies/m and 8 bacterial cells/m, 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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/55726896aee4/se4c03087_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/a8570c018ef4/se4c03087_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/5e7c2e01d020/se4c03087_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/5b3db3debde3/se4c03087_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/55726896aee4/se4c03087_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/a8570c018ef4/se4c03087_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/5e7c2e01d020/se4c03087_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/5b3db3debde3/se4c03087_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4735/12105078/55726896aee4/se4c03087_0004.jpg

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[1]
Capacitive Biosensor for Rapid Detection of Avian (H5N1) Influenza and in Aerosols.

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引用本文的文献

[1]
Strategic Detection of in the Poultry Industry: Food Safety Challenges, One Health Approaches, and Advances in Biosensor Technologies.

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本文引用的文献

[1]
Concentrating viable airborne pathogens using a virtual impactor with a compact water-based condensation air sampler.

Aerosol Sci Technol. 2024

[2]
Risk assessment of a highly pathogenic H5N1 influenza virus from mink.

Nat Commun. 2024-5-15

[3]
Prussian Blue Analogues for Sodium-Ion Battery Cathodes: A Review of Mechanistic Insights, Current Challenges, and Future Pathways.

Small. 2024-8

[4]
Advances in Detection Techniques for the H5N1 Avian Influenza Virus.

Int J Mol Sci. 2023-12-5

[5]
The episodic resurgence of highly pathogenic avian influenza H5 virus.

Nature. 2023-10

[6]
A comprehensive review of highly pathogenic avian influenza (HPAI) H5N1: An imminent threat at doorstep.

Travel Med Infect Dis. 2023

[7]
Rapid Direct Detection of SARS-CoV-2 Aerosols in Exhaled Breath at the Point of Care.

ACS Sens. 2023-8-25

[8]
Capacitive biosensors for label-free and ultrasensitive detection of biomarkers.

Talanta. 2024-1-1

[9]
Real-time environmental surveillance of SARS-CoV-2 aerosols.

Nat Commun. 2023-7-10

[10]
Electrochemical Biosensors for Pathogen Detection: An Updated Review.

Biosensors (Basel). 2022-10-26

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