Evidence map›Paper›PMID 35293204›Full record

ArticleAnalytical chemistry2022

Automated Immunoassay Performed on a 3D Microfluidic Paper-Based Device for Malaria Detection by Ambient Mass Spectrometry.

Sierra Jackson, Suji Lee, Abraham K Badu-Tawiah

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2022. 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
1.4field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Sierra JacksonDepartment of Chemistry and Biochemistry, The Ohio State University, 100 W. 18th Avenue, Columbus, Ohio 43210, United States.
Suji LeeDepartment of Chemistry and Biochemistry, The Ohio State University, 100 W. 18th Avenue, Columbus, Ohio 43210, United States.ORCID 0000-0002-7967-6796
Abraham K Badu-TawiahDepartment of Chemistry and Biochemistry, The Ohio State University, 100 W. 18th Avenue, Columbus, Ohio 43210, United States.ORCID 0000-0001-8642-3431
The Ohio State University · US

Funding

Malaria Management through an On-demand Diagnostic Approach using Novel Ionic ProbesR01AI143809 · NIAID · OHIO STATE UNIVERSITY · PI BADU-TAWIAH, ABRAHAM · 2019 to 2023
$1.3M
NIAID NIH HHS R01 AI143809
6 · The paper itself

Abstract

Microfluidic paper-based analytical devices (μPADs) are emerging as a prominent platform for disease detection, specifically in developing countries. This paper device offer simplicity and affordability not typically seen in centralized laboratory settings. However, detection limits in μPADs are inadequate and often require test results to be read within a specific time interval to ensure accuracy. To overcome these challenges, we are developing an on-chip mass spectrometry (MS) detection strategy for immunoassays performed on paper substrates. Herein, we present our initial results from a proof-of-concept study toward the development of μPADs capable of storing immunoassay reagents within the confinements of the 3D device, automatic splitting of biofluid into four individual test zones, immuno-capture of the disease biomarker, and on-chip MS detection of the captured species. The reported study encourages the development of point-of-care and direct-to-customer testing using disposable μPADs to collect samples, followed by sensitive analysis using portable MSs. We demonstrate this capability using malaria

Indexed as

MalariaMicrofluidic Analytical TechniquesHumansImmunoassayMass SpectrometryMicrofluidicsPaper

Identifiers

PMID35293204
PMCPMC9022466
OpenAlexW4221033004

What OpenQuestion holds

Textmetadata
LicenceTDM
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.