Evidence map›Paper›PMID 40277527›Full record

ArticleBiosensors2025

Optimized Microfluidic Biosensor for Sensitive C-Reactive Protein Detection.

Amirmahdi Tavakolidakhrabadi, Matt Stark, Alexander Küenzi, Sandro Carrara, Cédric Bessire

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Amirmahdi TavakolidakhrabadiInstitute for Human Centered Engineering HuCE, Department of Engineering and Computer Science, Bern University of Applied Sciences, 2501 Biel, Switzerland.ORCID 0000-0001-9271-4673
Matt StarkInstitute for Human Centered Engineering HuCE, Department of Engineering and Computer Science, Bern University of Applied Sciences, 2501 Biel, Switzerland.
Alexander KüenziInstitute for Human Centered Engineering HuCE, Department of Engineering and Computer Science, Bern University of Applied Sciences, 2501 Biel, Switzerland.ORCID 0009-0006-0379-3749
Sandro CarraraBio/CMOS Interfaces Laboratory (BCI), École Polytechnique Fédérale de Lausanne (EPFL), 2002 Lausanne, Switzerland.
Cédric BessireInstitute for Human Centered Engineering HuCE, Department of Engineering and Computer Science, Bern University of Applied Sciences, 2501 Biel, Switzerland.

Funding

Innosuisse - Swiss Innovation Agency 52116.1 IP-LS
6 · The paper itself

Abstract

Lateral flow immunoassays (LFIAs) were integrated into microfluidic chips and tested to enhance point-of-care testing (POCT), with the aim of improving sensitivity and expanding the range of CRP detection. The microfluidic approach improves upon traditional methods by precisely controlling fluid speed, thus enhancing sensitivity and accuracy in CRP measurements. The microfluidic approach also enables a one-step detection system, eliminating the need for buffer solution steps and reducing the nitrocellulose (NC) pad area to just the detection test line. This approach minimizes the non-specific binding of conjugated antibodies to unwanted areas of the NC pad, eliminating the need to block those areas, which enhances the sensitivity of detection. The gold nanoparticle method detects CRP in the high-sensitivity range of 1-10 μg/mL, which is suitable for chronic disease monitoring. To broaden the CRP detection range, including infection levels beyond 10 μg/mL, fluorescent labels were introduced, extending the measuring range from 1 to 70 μg/mL. Experimental results demonstrate that integrating microfluidic technology significantly enhances operational efficiency by precisely controlling the flow rate and optimizing the mixing efficiency while reducing fabrication resources by eliminating the need for separate pads, making these methods suitable for resource-limited settings. Microfluidics also provides greater control over fluid dynamics compared to traditional LFIA methods, which contributes to enhanced detection sensitivity even with lower sample volumes and no buffer solution, helping to enhance the usability of POCT. These findings highlight the potential to develop accessible, accurate, and cost-effective diagnostic tools essential for timely medical interventions at the POC.

Indexed as

Biosensing TechniquesC-Reactive ProteinGoldHumansImmunoassayMetal NanoparticlesMicrofluidicsPoint-of-Care TestingC-Reactive ProteinGoldconjugated fluorescent antibodiesextended detection range for CRP measurementgold nanoparticle-based detectionmicrofluidic-controlled LFIA for CRPmicrofluidic integration

Identifiers

PMID40277527
PMCPMC12024833

What OpenQuestion holds

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LicenceCC BY
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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.