Literature DB >> 31579394

Analysis of Paper-Based Colorimetric Assays With a Smartphone Spectrometer.

Elizabeth V Woodburn1, Kenneth D Long1, Brian T Cunningham1.   

Abstract

We report on the adaptation of a smartphone's rear-facing camera to function as a spectrometer that measures the spectrum of light scattered by common paper-based assay test strips. We utilize a cartridge that enables a linear series of test pads in a single strip to be swiped past the read head of the instrument while the phone's camera records video. The strip is housed in a custom-fabricated cartridge that slides through the instrument to facilitate illumination with white light from the smartphone's flash LED that is directed through an optical fiber. We demonstrate the ability to detect subtle changes in the scattered spectrum that enables quantitative analysis of single-analyte and multi-analyte strips. The demonstrated capability can be applied to broad classes of paper-based assays in which visual observation of colored strips is not sufficiently quantitative, and for which analysis of red-green-blue pixel values of a camera image are not capable of measuring complex scattered spectra.

Entities:  

Keywords:  Biomarkers; biomedical monitoring; biosensors; cellular phones; multimodal sensors; patient monitoring; point-of-care; smartphone biosensing; smartphone spectroscopy

Year:  2019        PMID: 31579394      PMCID: PMC6774390          DOI: 10.1109/JSEN.2018.2876631

Source DB:  PubMed          Journal:  IEEE Sens J        ISSN: 1530-437X            Impact factor:   3.301


  29 in total

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Review 5.  Medical diagnostics with mobile devices: Comparison of intrinsic and extrinsic sensing.

Authors:  L Kwon; K D Long; Y Wan; H Yu; B T Cunningham
Journal:  Biotechnol Adv       Date:  2016-03-04       Impact factor: 14.227

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Authors:  Rita Rastogi Kalyani; Christopher D Saudek; Frederick L Brancati; Elizabeth Selvin
Journal:  Diabetes Care       Date:  2010-02-25       Impact factor: 19.112

8.  Automated and visual analysis of commercial urinary dipsticks in dogs, cats and cattle.

Authors:  M Defontis; N Bauer; K Failing; A Moritz
Journal:  Res Vet Sci       Date:  2013-01-26       Impact factor: 2.534

Review 9.  Urinary clinical pathologic findings and glomerular filtration rate in the horse.

Authors:  Catherine J Savage
Journal:  Vet Clin North Am Equine Pract       Date:  2008-08       Impact factor: 1.792

10.  The usefulness of a free self-test for screening albuminuria in the general population: a cross-sectional survey.

Authors:  Markus M J Nielen; François G Schellevis; Robert A Verheij
Journal:  BMC Public Health       Date:  2009-10-09       Impact factor: 3.295

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  3 in total

1.  Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care.

Authors:  Madeleine Flaucher; Michael Nissen; Katharina M Jaeger; Adriana Titzmann; Constanza Pontones; Hanna Huebner; Peter A Fasching; Matthias W Beckmann; Stefan Gradl; Bjoern M Eskofier
Journal:  IEEE J Transl Eng Health Med       Date:  2022-05-30

2.  CandyCodes: simple universally unique edible identifiers for confirming the authenticity of pharmaceuticals.

Authors:  William H Grover
Journal:  Sci Rep       Date:  2022-05-06       Impact factor: 4.996

3.  Predictive System Implementation to Improve the Accuracy of Urine Self-Diagnosis with Smartphones: Application of a Confusion Matrix-Based Learning Model through RGB Semiquantitative Analysis.

Authors:  Seon-Chil Kim; Young-Sik Cho
Journal:  Sensors (Basel)       Date:  2022-07-21       Impact factor: 3.847

  3 in total

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