Evidence map›Paper›PMID 40934393›Full record

ArticleJournal of agricultural and food chemistry2025

Empowering Gliadin Detection: A Visible-Code Semiquantitative Lateral Flow System for Rapid and Reliable Results.

Wen-Hao Chen, Jill Christiansen Smith, Seaton Smith, Hui-Yin Huang, Chester Yuh-Cherng Chu, Yuen-Yee Choi, Yuyu Chen, Huan-Chi Chang, Chuan-Chih Hsu, Yu-Cheng Hsiao

Abstract readEvaluation Study
In one paragraph

Article in Journal of agricultural and food chemistry, 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

10 authors.

Wen-Hao ChenResearch and Development Group, Leo Verification System Inc., Powell, Wyoming 82435, United States.
Jill Christiansen SmithResearch and Development Group, Leo Verification System Inc., Powell, Wyoming 82435, United States.
Seaton SmithResearch and Development Group, Leo Verification System Inc., Powell, Wyoming 82435, United States.
Hui-Yin HuangResearch and Development Group, Leo Verification System Inc., Powell, Wyoming 82435, United States.
Chester Yuh-Cherng ChuResearch and Development Group, Bion Inc., Taipei 110, Taiwan.
Yuen-Yee ChoiResearch and Development Group, Bion Inc., Taipei 110, Taiwan.
Yuyu ChenResearch and Development Group, Bion Inc., Taipei 110, Taiwan.
Huan-Chi ChanguMeal Co., Ltd., Taipei 110, Taiwan.
Chuan-Chih HsuDepartment of Surgery, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-3772-1704
Yu-Cheng HsiaoResearch and Development Group, Bion Inc., Taipei 110, Taiwan.ORCID 0000-0003-3312-7318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat is a global staple, but its main protein, "gluten," can trigger severe reactions in people with celiac disease, an autoimmune disorder affecting around 1% of the population. The only treatment is a lifelong gluten-free diet. Gliadin, a gluten component, is the primary trigger and is difficult to detect due to its low solubility. This makes it challenging for celiac patients to safely eat out or to enjoy diverse foods. To address this, we developed LEO (Lateral flow Enhanced by Optical imaging), a portable gluten detection system combining lateral flow assays with smartphone-based image analysis. LEO uses IoT-enhanced technology to deliver results in under 3 min, accurately quantifying gliadin with over 98% accuracy and sensitivity below the FDA's 20 ppm threshold. In real-world trials, LEO successfully detected hidden gluten in mislabeled "gluten-free" restaurant dishes. With its fast, accurate results and user-friendly design, LEO supports safer food choices for individuals with celiac disease and is suitable for personal, clinical, industrial, and regulatory use.

Indexed as

GliadinOptical ImagingCeliac DiseaseGlutensHumansSmartphoneTriticumGliadinGlutensgliadin testergluten detectiongluten sensorgluten testerIoT of image analysis

Identifiers

PMID40934393
PMCPMC12464975

What OpenQuestion 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 OpenQuestion graph.