Evidence map›Paper›PMID 31579394›Full record

ArticleIEEE sensors journal2019

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

Elizabeth V Woodburn, Kenneth D Long, Brian T Cunningham, Fellow, IEEE

Abstract read
In one paragraph

Article in IEEE sensors journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care.IEEE journal of translational engineering in health and medicine · 2022
    Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Elizabeth V WoodburnE. V. Woodburn was with the Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA. She is now with the Carle Illinois College of Medicine, Champaign, IL 61820 USA (woodbrn2@illinois.edu). K. D. Long is with the Department of Bioengineering, University of Illinois at Urbana-Champaign and the College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (long6@illinois.edu). B. T. Cunningham is with the Department of Electrical and Computer Engineering and the Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (bcunning@illinois.edu).ORCID https://orcid.org/0000-0001-7350-9949
Kenneth D LongE. V. Woodburn was with the Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA. She is now with the Carle Illinois College of Medicine, Champaign, IL 61820 USA (woodbrn2@illinois.edu). K. D. Long is with the Department of Bioengineering, University of Illinois at Urbana-Champaign and the College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (long6@illinois.edu). B. T. Cunningham is with the Department of Electrical and Computer Engineering and the Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (bcunning@illinois.edu).
Brian T CunninghamE. V. Woodburn was with the Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA. She is now with the Carle Illinois College of Medicine, Champaign, IL 61820 USA (woodbrn2@illinois.edu). K. D. Long is with the Department of Bioengineering, University of Illinois at Urbana-Champaign and the College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (long6@illinois.edu). B. T. Cunningham is with the Department of Electrical and Computer Engineering and the Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (bcunning@illinois.edu).ORCID https://orcid.org/0000-0002-9681-2104
Fellow, IEEE

Funding

Photonic Crystal Based Point-of-Care Detection of HIV Viral Load Using a Smartphone BiosensorF30AI122925 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LONG, KENNETH · 2016 to 2019
$159k
NIAID NIH HHS F30 AI122925
6 · The paper itself

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.

Indexed as

Biomarkersbiomedical monitoringbiosensorscellular phonesmultimodal sensorspatient monitoringpoint-of-caresmartphone biosensingsmartphone spectroscopy

Identifiers

PMID31579394
PMCPMC6774390

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.