Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva Samples

Journal Article · 15 January 2025 · ECS Sensors Plus

DOI: https://doi.org/10.1149/2754-2726/ad9c92 · OSTI ID:2502137

Saint-John, Brandon; Wolf-Yadlin, Alejandro; Jacobsen, Daniel E.; Inman, Jamie L.; Gart, Serge; Keener, Matt; McMurray, Cynthia; Snijders, Antoine M.; Mukundan, Harshini ; Kubicek-Sutherland, Jessica Z.; Brown, James B.

Rapid, reagent-free pathogen-agnostic diagnostics that can be performed at the point of need are vital for preparedness against future outbreaks. Yet, many current strategies are pathogen-specific and require several reagents. We present hyperspectral sensing, using light to non-invasively measure the composition of several molecules to form a spectral signature, to overcome these barriers. To generate these spectral signatures, we present the ProSpectral ^TM V1, a novel, miniaturized hyperspectral platform with high spectral resolution with two mini-spectrometers. Furthermore, we developed state-of-the-art ML pipelines for near real-time analysis of spectral signatures in saliva samples. We found that we could accurately identify SARS-CoV-2 infection status in double-blinded saliva samples and demonstrate 100% accuracy on a hold out test dataset. To our knowledge, this establishes the fastest hyperspectral diagnostic platform and in a small form factor, and executable with liquid samples, without ligands or reagents, all while maintaining PCR level specificity and sensitivity.

• Sponsoring Organization: USDOE
• OSTI ID: 2502137
• Journal Information: ECS Sensors Plus, Journal Name: ECS Sensors Plus Journal Issue: 1 Vol. 4; ISSN 2754-2726
• Publisher: The Electrochemical SocietyCopyright Statement
• Country of Publication: United Kingdom
• Language: English