dbGaP Study Accession: phs002924

NIH Institute/Center: NHLBI

RADx Data Program: RADx-rad

Release Date: 08/30/2024

DOI: 10.60773/w35s-2a90

Study Description: This project developed a biomimetic olfaction-and gustation-based sensors for detecting volatile organic compound (VOC) biomarkers against SARS-CoV-2. The project used computational design to deduce sets of odorant binding peptide (OBP) sequences that selectively bind to exhaled VOCs associated with SARS-CoV-2 from libraries of olfactory proteins. Chimeric peptides including these OBP sequence and a aromatic carbon-binding group were then synthesized, validated for vapor phase VOC binding, and then bound on to separate low-cost graphene and carbon nanotube sensor field effect transistors in multiplexed arrays developed in this project. The exhalant or simulated exhalant response data from these multiplexed OBP-functionalized sensor arrays were used to train an AI-driven diagnosis system to create a rapid, easily scalable test for SARS-CoV-2 based on direct exhaled breath.

Updated Date: 05/19/2022

Principal Investigator: Mackenzie, Devin

Has Data Files: No

Study Domain: Biosensor Technology; Artificial Intelligence and Machine Learning; Virological Testing

Data Collection Method: Breath Analysis Device / Airborne Detection Device

Keywords: COVID-19 Diagnosis; SARS-CoV-2 Antigen; Antigen Detection

Study Design: Longitudinal Cohort

Multi-Center Study: FALSE

Data Types: Other

Data Types, Other: Ethanol, rethyl butyrate, rhexadecane, rhexanal, rnonanal, roctanal, rtetradecane, rtridecane

Study Start Date: 12/21/2020

Study End Date: 11/30/2023

Species: Non-Human Data

Estimated Cohort Size: 50

Study Population Focus: Adults

Acknowledgement Statement: This study was supported through funding, 5U01HL152401-04, for the National Heart Lung and Blood Institute (NHLBI) as part of the RADx-rad program. Approved users should acknowledge the provision of data access by dbGaP for accession phs002924.v1.p1, and the NIH RADx Data Hub. Approved users should also acknowledge the specific version(s) of the dataset(s) obtained from the NIH RADx Data Hub.

Funding Opportunity Announcement (FOA) Number: RFA-OD-19-014

NIH Grant or Contract Number(s): 5U01HL152401-04

Consent/Data Use Limitations: General Research Use