Evidence map›Paper›PMID 42393043›Full record

ArticleMicrosystems & nanoengineering2026

An automated, digital immunoassay on a microfluidic cartridge for on-demand cytokine profiling.

Adrienne D Füredi, Mark Nicolas, Michael Forte, Rohan Yadav, Nadine L N Halligan, Mary K Dahmer, Heidi Flori, Ming X Tan, Yujing Song, Katsuo Kurabayashi

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. 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

10 authors.

Adrienne D FürediDepartment of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA.ORCID http://orcid.org/0000-0002-8866-5490
Mark NicolasWainamics Inc, Campbell, CA, USA.
Michael ForteDepartment of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA.
Rohan YadavDepartment of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA.
Nadine L N HalliganDepartment of Pediatrics, Division of Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Mary K DahmerDepartment of Pediatrics, Division of Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0001-7329-1943
Heidi FloriDepartment of Pediatrics, Division of Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-6047-6970
Ming X TanWainamics Inc, Campbell, CA, USA.
Yujing SongDepartment of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA. yujing.song@nyu.edu.ORCID http://orcid.org/0000-0003-1448-3069
Katsuo KurabayashiDepartment of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA. kk5165@nyu.edu.ORCID http://orcid.org/0000-0002-9613-3590

Funding

National Science Foundation (NSF) 1931905
6 · The paper itself

Abstract

Patients with critical illness often exhibit profound biological heterogeneity, complicating the identification of effective interventions. Resolving distinct molecular profiles to enable timely treatment decisions remains challenging, as integrating biomarker-guided care into routine monitoring is often hindered by fragmented, batch-based workflows. These manual operations decouple molecular data from the acute clinical timeline and are a barrier to reliable, real-time, near to patient, multi-center implementation. To address this gap, we developed an integrated microfluidic digital immunoassay system that achieves high analytical fidelity through a fully automated, simple workflow. The system utilizes a monolithic disposable cartridge to automate bead-based analyte capture, oil-phase partitioning, and signal amplification, eliminating the manual handling and emulsion steps that typically compromise digital assay robustness. The platform enables protein measurement within 45 minutes, achieving sub-picogram limit of detection ( < 0.13 pg/mL), a dynamic range spanning three orders of magnitude, and strong analytical reproducibility. We demonstrate the clinical utility of the system by profiling a validated panel of inflammatory biomarkers in plasma from critically ill pediatric patients, using low sample volumes. Results show strong agreement with gold-standard multiplex assays (R

Identifiers

PMID42393043
PMCPMC13328554

What Socratic 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 Socratic graph.