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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author 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
author_facet 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
author_sort Brandon Saint-John
collection DOAJ
description 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.
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spelling doaj-art-a5d4c687151246bc924b1955f494e2cc2025-01-16T17:53:18ZengIOP PublishingECS Sensors Plus2754-27262025-01-014101460110.1149/2754-2726/ad9c92Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva SamplesBrandon Saint-John0Alejandro Wolf-Yadlin1Daniel E. Jacobsen2Jamie L. Inman3Serge Gart4Matt Keener5Cynthia McMurray6Antoine M. Snijders7Harshini Mukundan8https://orcid.org/0000-0002-0931-0545Jessica Z. Kubicek-Sutherland9James B. Brown10Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States of AmericaPattern Computer, Inc., Redmond, Washington 98052, United States of AmericaPhysical Chemistry and Applied Spectroscopy, Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States of AmericaBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States of AmericaPattern Computer, Inc., Redmond, Washington 98052, United States of AmericaPattern Computer, Inc., Redmond, Washington 98052, United States of AmericaDivision of Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States of AmericaBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States of AmericaBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States of America; Physical Chemistry and Applied Spectroscopy, Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States of AmericaPhysical Chemistry and Applied Spectroscopy, Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States of AmericaEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory , Berkeley, California 94720, United States of America; Department of Statistics, University of California, Berkeley , Berkeley, California 94720, United States of AmericaRapid, 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.https://doi.org/10.1149/2754-2726/ad9c92biosensorshyperspectral sensorsagnostic diagnosticscoronavirus
spellingShingle 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
Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva Samples
ECS Sensors Plus
biosensors
hyperspectral sensors
agnostic diagnostics
coronavirus
title Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva Samples
title_full Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva Samples
title_fullStr Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva Samples
title_full_unstemmed Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva Samples
title_short Reagent-free Hyperspectral Diagnosis of SARS-CoV-2 Infection in Saliva Samples
title_sort reagent free hyperspectral diagnosis of sars cov 2 infection in saliva samples
topic biosensors
hyperspectral sensors
agnostic diagnostics
coronavirus
url https://doi.org/10.1149/2754-2726/ad9c92
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