Evidence map›Paper›PMID 41209517›Full record

ArticleRSC advances2025

A disposable, passive microfluidic cartridge for point-of-care detection of antibodies in total capillary blood based on hemagglutination and machine-learning assisted interpretation.

Munawar Jawad, Afroza Tabassum Akhi, Rian Wendling, Vanessa Redecke, Hans Häcker, Bruce Gale

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Munawar JawadDepartment of Mechanical Engineering, The University of Utah Salt Lake City UT 84112 USA munawar.jawad@utah.edu.ORCID https://orcid.org/0000-0002-4403-4283
Afroza Tabassum AkhiDepartment of Mechanical Engineering, The University of Utah Salt Lake City UT 84112 USA munawar.jawad@utah.edu.
Rian WendlingNanoSpot.ai Salt Lake City UT 84108 USA.
Vanessa RedeckeNanoSpot.ai Salt Lake City UT 84108 USA.
Hans HäckerNanoSpot.ai Salt Lake City UT 84108 USA.
Bruce GaleDepartment of Mechanical Engineering, The University of Utah Salt Lake City UT 84112 USA munawar.jawad@utah.edu.ORCID https://orcid.org/0000-0001-5843-3464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care (PoC) detection of antibodies in blood enables rapid, on-site diagnosis. However, these devices often face challenges related to user variability due to the requirement of multiple manual operations. To address this issue, we designed and developed a disposable microfluidic device that requires minimal user input for rapid detection of SARS-CoV-2 antibodies (ABs) in total blood and antigens associated with blood types. Here, we present a passive pressure-driven pumping technique that rapidly mixes blood samples with reagents, delivering results within three minutes. The device requires 15 μL of capillary blood and can detect SARS-CoV-2 ABs across a concentration range of 0 to 60 μg mL

Identifiers

PMID41209517
PMCPMC12593424

What OpenQuestion holds

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LicenceCC BY-NC
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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.