Evidence mapPaperPMID 41902139Full record

ReviewSensors (Basel, Switzerland)2026

Cell-Based Immuno-Biosensors Using Microfluidics.

Briggs Pugner, Erik Petersson, Seedahmed Ahmed, Maha Mustafa, Justin Okoh, Yuhao Qiang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2026. 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
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

1 citing paper in PubMed.

  1. 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

6 authors.

Briggs PugnerDepartment of Engineering, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.ORCID 0009-0005-1262-2303
Erik PeterssonDepartment of Engineering, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.
Seedahmed AhmedDepartment of Engineering, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.
Maha MustafaDepartment of Engineering, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.
Justin OkohDepartment of Pharmaceutical Science, School of Pharmacy, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.ORCID 0009-0005-3724-5110
Yuhao QiangDepartment of Engineering, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.ORCID 0009-0009-5262-7386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-based immuno-biosensors are novel platforms for studying immune responses of biological cells, with real-time insights more similar to physiological and pathological conditions. These systems utilize living immune cells as their main components, enabling them to detect disease-related biomarkers and cellular traits in a way that is often highly sensitive and label-free. Integration with microfluidics and organ-on-chip technologies has facilitated precise manipulational control over the cellular microenvironment. Not only has this resulted in high-throughput screening, but it also enabled smaller, more portable systems which can be used at the point of care. In this work, we review the recent advance in microfluidic cell-based immuno-biosensing associated with immune cells such as neutrophils, macrophages, T cell and dendrite cells. Some of the exciting developments include fusion with methods such as advanced imaging, electrical impedance sensing and application of machine learning to phenotyping. We will also elaborate on the issues related to the standardization of these systems, cell heterogeneity, and the challenges for translating these technologies for clinical application. Taken together, such integrated platforms have potential to fill the gap left in-between cellular immunology with biosensor engineering.

Indexed as

Biosensing TechniquesMicrofluidicsAnimalsHumansMachine Learningimmuno-biosensormachine learningmicrofluidicspoint-of-care

Identifiers

PMID41902139
PMCPMC13030127

What Socratic holds

Textmetadata
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 Socratic graph.