Detection of SARS-CoV-2 with RAPID: A prospective cohort study
Summary: COVID-19 has killed over 6 million people worldwide. Currently available methods to detect SARS-CoV-2 are limited by their cost and need for multistep sample preparation and trained personnel. Therefore, there is an urgent need to develop fast, inexpensive, and scalable point-of-care diagno...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-04-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S258900422200325X |
| _version_ | 1819158780962668544 |
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| author | Marcelo D.T. Torres Lucas F. de Lima André L. Ferreira William R. de Araujo Paul Callahan Antonio Dávila, Jr. Benjamin S. Abella Cesar de la Fuente-Nunez |
| author_facet | Marcelo D.T. Torres Lucas F. de Lima André L. Ferreira William R. de Araujo Paul Callahan Antonio Dávila, Jr. Benjamin S. Abella Cesar de la Fuente-Nunez |
| author_sort | Marcelo D.T. Torres |
| collection | DOAJ |
| description | Summary: COVID-19 has killed over 6 million people worldwide. Currently available methods to detect SARS-CoV-2 are limited by their cost and need for multistep sample preparation and trained personnel. Therefore, there is an urgent need to develop fast, inexpensive, and scalable point-of-care diagnostics that can be used for mass testing. Between January and March 2021, we obtained 321 anterior nare swab samples from individuals in Philadelphia (PA, USA). For the Real-time Accurate Portable Impedimetric Detection prototype 1.0 (RAPID) test, anterior nare samples were tested via an electrochemical impedance spectroscopy (EIS) approach. The overall sensitivity, specificity, and accuracy of RAPID in this cohort study were 80.6%, 89.0%, and 88.2%, respectively. We present a rapid, accurate, inexpensive (<$5.00 per unit), and scalable test for diagnosing COVID-19 at the point-of-care. We anticipate that further iterations of this approach will enable widespread deployment, large-scale testing, and population-level surveillance. |
| first_indexed | 2024-12-22T16:30:06Z |
| format | Article |
| id | doaj.art-fcbab50c021843dd934a839b07f51032 |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-12-22T16:30:06Z |
| publishDate | 2022-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-fcbab50c021843dd934a839b07f510322022-12-21T18:20:05ZengElsevieriScience2589-00422022-04-01254104055Detection of SARS-CoV-2 with RAPID: A prospective cohort studyMarcelo D.T. Torres0Lucas F. de Lima1André L. Ferreira2William R. de Araujo3Paul Callahan4Antonio Dávila, Jr.5Benjamin S. Abella6Cesar de la Fuente-Nunez7Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USAMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA; Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, Sao Paulo, BrazilMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA; Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, Sao Paulo, BrazilPortable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, Sao Paulo, BrazilPenn Acute Research Collaboration, Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, USAPenn Acute Research Collaboration, Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, USAPenn Acute Research Collaboration, Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, USAMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA; Corresponding authorSummary: COVID-19 has killed over 6 million people worldwide. Currently available methods to detect SARS-CoV-2 are limited by their cost and need for multistep sample preparation and trained personnel. Therefore, there is an urgent need to develop fast, inexpensive, and scalable point-of-care diagnostics that can be used for mass testing. Between January and March 2021, we obtained 321 anterior nare swab samples from individuals in Philadelphia (PA, USA). For the Real-time Accurate Portable Impedimetric Detection prototype 1.0 (RAPID) test, anterior nare samples were tested via an electrochemical impedance spectroscopy (EIS) approach. The overall sensitivity, specificity, and accuracy of RAPID in this cohort study were 80.6%, 89.0%, and 88.2%, respectively. We present a rapid, accurate, inexpensive (<$5.00 per unit), and scalable test for diagnosing COVID-19 at the point-of-care. We anticipate that further iterations of this approach will enable widespread deployment, large-scale testing, and population-level surveillance.http://www.sciencedirect.com/science/article/pii/S258900422200325XMedicineMedical laboratory technologySensorVirologyBioelectronics |
| spellingShingle | Marcelo D.T. Torres Lucas F. de Lima André L. Ferreira William R. de Araujo Paul Callahan Antonio Dávila, Jr. Benjamin S. Abella Cesar de la Fuente-Nunez Detection of SARS-CoV-2 with RAPID: A prospective cohort study iScience Medicine Medical laboratory technology Sensor Virology Bioelectronics |
| title | Detection of SARS-CoV-2 with RAPID: A prospective cohort study |
| title_full | Detection of SARS-CoV-2 with RAPID: A prospective cohort study |
| title_fullStr | Detection of SARS-CoV-2 with RAPID: A prospective cohort study |
| title_full_unstemmed | Detection of SARS-CoV-2 with RAPID: A prospective cohort study |
| title_short | Detection of SARS-CoV-2 with RAPID: A prospective cohort study |
| title_sort | detection of sars cov 2 with rapid a prospective cohort study |
| topic | Medicine Medical laboratory technology Sensor Virology Bioelectronics |
| url | http://www.sciencedirect.com/science/article/pii/S258900422200325X |
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