Evidence map›Paper›PMID 34497933›Full record

ArticleACS omega2021

Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter.

Kristen Abels, Elizabeth M Salvo-Halloran, Dawn White, Monsur Ali, Nisha R Agarwal, Vincent Leung, Muntakim Ali, Mariam Sidawi, Alfredo Capretta, John D Brennan and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Article
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

12 authors at 2 institutions in 1 country.

Kristen AbelsDepartment of Chemical Engineering, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Elizabeth M Salvo-HalloranBiointerfaces Institute, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Dawn WhiteBiointerfaces Institute, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Monsur AliBiointerfaces Institute, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Nisha R AgarwalBiointerfaces Institute, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Vincent LeungDepartment of Chemical Engineering, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Muntakim AliDepartment of Chemical Engineering, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Mariam SidawiDepartment of Chemical Engineering, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Alfredo CaprettaBiointerfaces Institute, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
John D BrennanBiointerfaces Institute, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.ORCID https://orcid.org/0000-0003-3461-9824
Jake NeaseDepartment of Chemical Engineering, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.
Carlos D M FilipeDepartment of Chemical Engineering, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4M1, Canada.ORCID https://orcid.org/0000-0002-7410-3323
McMaster University · CAOntario Tech University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorimetric assays typically offer a rapid and convenient method to assess analytes that span healthcare monitoring to water quality testing. However, such tests can only provide qualitative results when employed in resource-limited settings or require bulky and expensive equipment such as lab spectrophotometers to allow quantitative measurements. In this paper, we report on the use of a handheld colorimeter to quantitatively determine the concentration of analytes in a manner that is independent of ambient lighting or initial sample color. The method combines the response of the sensor with first-principles modeling that better describes the nature of the assay compared to linear-in-parameters regression modeling that is typically performed in other studies. This method was successfully demonstrated using a number of colorimetric assays: (1) determination of solution pH using a universal indicator, (2) quantification of the DNase presence using a DNA-gold nanoparticle assay, and (3) quantification of the concentration of the antibiotic tetracycline using a cell-based assay.

Identifiers

PMID34497933
PMCPMC8412955
OpenAlexW3195469103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.