A smartphone-read ultrasensitive and quantitative saliva test for COVID-19

Author:

Ning Bo12ORCID,Yu Tao3ORCID,Zhang Shengwei3ORCID,Huang Zhen124ORCID,Tian Di5,Lin Zhen5ORCID,Niu Alex6,Golden Nadia78ORCID,Hensley Krystle8ORCID,Threeton Breanna7,Lyon Christopher J.12,Yin Xiao-Ming5ORCID,Roy Chad J.9ORCID,Saba Nakhle S.6ORCID,Rappaport Jay789,Wei Qingshan3ORCID,Hu Tony Y.12ORCID

Affiliation:

1. Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA.

2. Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA.

3. Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, USA.

4. State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.

5. Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA.

6. Section of Hematology and Medical Oncology, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.

7. Tuberculosis Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA.

8. High Containment Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA.

9. Tulane School of Medicine, Tulane National Primate Research Center, New Orleans, LA 70112, USA.

Abstract

An isolation-free smartphone-based saliva assay can diagnose COVID-19 cases and quantify viral load within 15 min.

Funder

U.S. Department of Defense

National Institute of Allergy and Infectious Diseases

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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