0000000000378901

AUTHOR

Diana E. Bedolla

showing 3 related works from this author

ATR-Spin: an open-source 3D printed device for direct cytocentrifugation onto attenuated total reflectance crystals.

2021

Infrared Spectroscopy (IR) enables the direct and rapid characterization of cells at the molecular level. Achieving a rapid and consistent cell preparation is critical for the development of Point-of-Care diagnostics for cell analysis. Here we introduce an open-source, 3D printed device for integrating the isolation, preconcentration, and measurement of attenuated total reflectance IR spectra of cells from biofluids. The tool comprises a disposable card for cytocentrifugation, equipped with magnets, which allows reproducible integration into the pathlength of the IR spectrophotometer. Preliminary results using cell media containing A459 cells indicate that this system enables a qualitative …

3d printedMaterials scienceSpectrophotometry Infraredbusiness.industryCell preparation010401 analytical chemistryBiomedical EngineeringInfrared spectroscopyBioengineeringCell analysis02 engineering and technologyGeneral Chemistry021001 nanoscience & nanotechnology01 natural sciencesBiochemistry0104 chemical sciencesOpen sourceMolecular levelAttenuated total reflectionPrinting Three-DimensionalSpectroscopy Fourier Transform InfraredOptoelectronics0210 nano-technologybusinessLab on a chip
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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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