Wearable Collector for Noninvasive Sampling of SARS-CoV-2 from Exhaled Breath for Rapid Detection.


Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
08 Sep 2021
Historique:
pubmed: 25 8 2021
medline: 15 9 2021
entrez: 24 8 2021
Statut: ppublish

Résumé

Airborne transmission of exhaled virus can rapidly spread, thereby increasing disease progression from local incidents to pandemics. Due to the COVID-19 pandemic, states and local governments have enforced the use of protective masks in public and work areas to minimize the disease spread. Here, we have leveraged the function of protective face coverings toward COVID-19 diagnosis. We developed a user-friendly, affordable, and wearable collector. This noninvasive platform is integrated into protective masks toward collecting airborne virus in the exhaled breath over the wearing period. A viral sample was sprayed into the collector to model airborne dispersion, and then the enriched pathogen was extracted from the collector for further analytical evaluation. To validate this design, qualitative colorimetric loop-mediated isothermal amplification, quantitative reverse transcription polymerase chain reaction, and antibody-based dot blot assays were performed to detect the presence of SARS-CoV-2. We envision that this platform will facilitate sampling of current SARS-CoV-2 and is potentially broadly applicable to other airborne diseases for future emerging pandemics.

Identifiants

pubmed: 34428374
doi: 10.1021/acsami.1c09309
doi:

Substances chimiques

Antibodies, Viral 0
Polycarboxylate Cement 0
RNA, Viral 0
Viral Proteins 0
polycarbonate 25766-59-0
Collodion 9004-70-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

41445-41453

Subventions

Organisme : NIDCR NIH HHS
ID : R01 DE024971
Pays : United States
Organisme : NCI NIH HHS
ID : R25 CA118681
Pays : United States

Auteurs

Fernando Soto (F)

Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California 94304-5427, United States.
Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.

Mehmet Ozgun Ozen (MO)

Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California 94304-5427, United States.
Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.

Carlos F Guimarães (CF)

Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California 94304-5427, United States.
Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.
3B's Research Group-Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Guimarães 4805-017, Portugal.
ICVS/3B's-Portuguese Government Associate Laboratory, University of Minho, Braga 4710-057, Portugal.

Jie Wang (J)

Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California 94304-5427, United States.
Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.

Kallai Hokanson (K)

Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California 94304-5427, United States.
Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.

Rajib Ahmed (R)

Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California 94304-5427, United States.
Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.

Rui L Reis (RL)

3B's Research Group-Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Guimarães 4805-017, Portugal.
ICVS/3B's-Portuguese Government Associate Laboratory, University of Minho, Braga 4710-057, Portugal.

Ramasamy Paulmurugan (R)

Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.
Molecular Imaging Program at Stanford (MIPS), Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.

Utkan Demirci (U)

Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine Stanford University, Palo Alto, California 94304-5427, United States.
Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94304-5427, United States.

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Classifications MeSH