Evidence map›Paper›PMID 40942690›Full record

ArticleSensors (Basel, Switzerland)2025

Development of a Miniaturized, Automated, and Cost-Effective Device for Enzyme-Linked Immunosorbent Assay.

Majid Aalizadeh, Shuo Yang, Suchithra Guntur, Vaishnavi Potluri, Girish Kulkarni, Xudong Fan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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. Article
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.

Majid AalizadehDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-4312-1940
Shuo YangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-3351-5249
Suchithra GunturArborsense Inc., 674 S Wagner Rd., Ann Arbor, MI 48103, USA.
Vaishnavi PotluriArborsense Inc., 674 S Wagner Rd., Ann Arbor, MI 48103, USA.
Girish KulkarniArborsense Inc., 674 S Wagner Rd., Ann Arbor, MI 48103, USA.ORCID 0000-0003-0125-0856
Xudong FanDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-0149-1326

Funding

Rapid and non-invasive device for drug detection through sweatR44DA052941 · NIDA · ARBORSENSE, INC. · PI KULKARNI, GIRISH · 2022 to 2023
$1.7M
NIDA NIH HHS R44 DA052941NIH HHS 2R44DA052941-02
6 · The paper itself

Abstract

In this work, a miniaturized, automated, and cost-effective ELISA device is designed and implemented, without the utilization of conventional techniques such as pipetting or microfluidic valve technologies. The device has dimensions of 24 cm × 19 cm × 14 cm and weighs <3 kg. The total hardware cost of the device is estimated to be approximately $1200, which can be further reduced through optimization during scale-up production. Three-dimensional printed disposable parts, including the reagent reservoir disk and the microfluidic connector, have also been developed. IL-6 is used as a model system to demonstrate how the device provides an ELISA measurement. The cost per test is estimated to be <$10. The compactness, automated operation, along with the cost-effectiveness of this ELISA device, makes it suitable for point-of-care applications in resource-limited regions.

Indexed as

MiniaturizationAutomationCost-Benefit AnalysisEnzyme-Linked Immunosorbent AssayEquipment DesignHumansInterleukin-6Lab-On-A-Chip DevicesPoint-of-Care SystemsInterleukin-6automationbiosensingELISAmicrofluidicspoint of care

Identifiers

PMID40942690
PMCPMC12431479

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.