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

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 t...

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Main Authors: Brandon Saint-John, Alejandro Wolf-Yadlin, Daniel E. Jacobsen, Jamie L. Inman, Serge Gart, Matt Keener, Cynthia McMurray, Antoine M. Snijders, Harshini Mukundan, Jessica Z. Kubicek-Sutherland, James B. Brown
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:ECS Sensors Plus
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Online Access:https://doi.org/10.1149/2754-2726/ad9c92
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Summary: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.
ISSN:2754-2726