0000000001134310

AUTHOR

Matthew J. Baker

showing 2 related works from this author

Infrared based saliva screening test for COVID‐19

2021

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in an unprecedented need for diagnostic testing that is critical in controlling the spread of COVID-19. We propose a portable infrared spectrometer with purpose-built transflection accessory for rapid point-of-care detection of COVID-19 markers in saliva. Initially, purified virion particles were characterized with Raman spectroscopy, synchrotron infrared (IR) and AFM-IR. A data set comprising 171 transflection infrared spectra from 29 subjects testing positive for SARS-CoV-2 by RT-qPCR and 28 testing negative, was modeled using Monte Carlo Double Cross Validation with 50 randomized test and model sets. The testing se…

SalivaMaterials scienceCoronavirus disease 2019 (COVID-19)Spectrophotometry InfraredInfraredPoint-of-care testingInfrared spectroscopy010402 general chemistry01 natural sciencesProof of Concept StudySensitivity and SpecificityCatalysisSpecimen HandlingCohort Studies03 medical and health sciences0302 clinical medicineCOVID-19 TestingSpectrophotometryChlorocebus aethiopsmedicineCOVID-19 diagnostic infrared spectroscopy Raman spectroscopy saliva SARS-CoV-2 virionsAnimalsHumansQDLeast-Squares AnalysisSalivaVero CellsMass screening030304 developmental biologyDetection limit0303 health sciencessalivaChromatographymedicine.diagnostic_test010405 organic chemistrySARS-CoV-2COVID-19Discriminant AnalysisGeneral Chemistry030206 dentistryGeneral Medicine0104 chemical sciences3. Good healthPoint-of-Care TestingMonte Carlo MethodATR-FTIRResearch ArticleAngewandte Chemie (International Ed. in English)
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Dataset and Data analysis for "Infrared based saliva screening test for COVID-19"

2021

External Modelling 1 is the Quasar .ows model to process the Source data 1 to generate the PCA plot shown in Figure 4B and loadings plots in Figure 4C. External Modelling 2 is the MCDCV-PLS-DA Matlab model that can be used in combination with PLS-Tool Box to generate the Receiver Operating Curves (ROC) and the prediction model shown in Figures 4D and 4E, respectively. Source Data 1 is for the PCA modelling. Source Data 2 for the MCDCV-PLS-DA.

COVID-19InfraredSpectroscopyMatlab
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