# AFS/SERS Saliva-based SARS-CoV-2 Earliest Infection and Antibodies Detection > **NIH NIH U18** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2022 · $895,041 ## Abstract Project Summary/Abstract: This U18 application is responsive to the NIH’s RADx-rad Emergency Responses to the COVID- pandemic for new or non-traditional technologies developed for single extracellular vesicle, exosome and extracellular RNA (exRNA) isolation and analysis and reposition them for detection of SARS-CoV-2. The applicant’s group is a grantee in the NIH Common Fund “Extracellular RNA Communication (ERC)” Program advancing a new and emerging technology of Acoustofluidic Separation (AFS) for label-free, high yield and purity exosomes from biofluids which is coupled to extracellular RNA characterization using Surface Enhanced Raman Spectroscopy (SERS) for single EV identification. This U18 application is to reposition the AFS EV technology and SERS for the non-invasive earliest detection of SARS-CoV-2 in saliva of infected patients. Host immunity to SARS-CoV-2 will also be assessed in the saliva samples, permitting the earliest detection of SARS-CoV-2 infection and host immunity non-invasively in a saliva sample. Five Specific Aims are in place to reposition the saliva-based AFS and SERS technologies, in a 2-year U18 proposal, to test the hypothesis that an integrated multi-parametric non-invasive saliva test for SARS-CoV- 2 infection, viral load and host immunity test demonstrating clinical performance surpassing current saliva-based SARS-CoV-2 EUA tests. ## Key facts - **NIH application ID:** 10320991 - **Project number:** 4U18TR003778-02 - **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES - **Principal Investigator:** Tony Jun Huang - **Activity code:** U18 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2022 - **Award amount:** $895,041 - **Award type:** 4N - **Project period:** 2020-12-21 → 2023-11-30 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10320991 ## Citation > US National Institutes of Health, RePORTER application 10320991, AFS/SERS Saliva-based SARS-CoV-2 Earliest Infection and Antibodies Detection (4U18TR003778-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10320991. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*