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Soto F, Ozen MO, Guimarães CF, Wang J, Hokanson K, Ahmed R, Reis RL, Paulmurugan R, Demirci U. Wearable Collector for Noninvasive Sampling of SARS-CoV-2 from Exhaled Breath for Rapid Detection. ACS Appl Mater Interfaces 2021; 13:41445-41453. [PMID: 34428374 PMCID: PMC8406923 DOI: 10.1021/acsami.1c09309] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/12/2021] [Indexed: 05/06/2023]
Abstract
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.
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Affiliation(s)
- Fernando Soto
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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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