Project name: Rapid Acceleration of Diagnostics - Radical (RADx-rad): Broad-spectrum Detection of VOC and Non-VOC Biomarkers from Patient Exhalant Using Biomimetic Multiplexed eNose Biosensor for COVID 19 Diagnosis

Description: This project will develop biomimetic olfaction-based and gustation-based sensors for detecting volatile organic compound (VOC) biomarkers against SARS-CoV-2. We employ a computational design to deduce sets of odorant binding peptide (OBP) sequences that will selectively bind to exhaled VOCs associated with SARS-CoV-2 from libraries of olfactory proteins. Chimeric peptides including these OBP sequences and a aromatic carbon-binding group are then synthesized, validated for vapor phase VOC binding, and then bound 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 will be used to train an AI-driven diagnosis... (for more see dbGaP study page.)

Data type: Phenotype or Genotype

Sample scope: Multiisolate

Relevance: Medical