Evidence map›Paper›PMID 39713688›Full record

ArticleACS omega2024

Rapid Gluten Allergen Detection Using an Integrated Photoimaging Assay and Ionic Liquid Extraction Sensor.

Wen-Hao Chen, Chuan-Chih Hsu, Hsin-Jung Ho, Jill Smith, Seaton Smith, Hui-Yin Huang, Huan-Chi Chang, Yu-Cheng Hsiao

Abstract read
In one paragraph

Article in ACS omega, 2024. 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

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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

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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

8 authors.

Wen-Hao ChenResearch and Development Group, Leo Verification Systems Inc., Powell, Wyoming 82435, United States.
Chuan-Chih HsuDepartment of Surgery, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Hsin-Jung HoTechnology Commercialization Center, Taipei Medical University, Taipei 110, Taiwan.
Jill SmithResearch and Development Group, Leo Verification Systems Inc., Powell, Wyoming 82435, United States.
Seaton SmithResearch and Development Group, Leo Verification Systems Inc., Powell, Wyoming 82435, United States.
Hui-Yin HuangResearch and Development Group, Leo Verification Systems Inc., Powell, Wyoming 82435, United States.
Huan-Chi ChanguMeal Co., Ltd., Taipei 110, Taiwan.
Yu-Cheng HsiaoGraduate Institute of Biomedical Optomechatronics, Taipei Medical University, Taipei 110, Taiwan.ORCID https://orcid.org/0000-0003-3312-7318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, food allergies and food sensitivities have remained critical public health problems that affect approximately 15% of the global population. Wheat is a major food source worldwide, but it is also a common food allergen. Celiac disease is chronic immune-mediated enteropathy triggered by exposure to dietary gluten in genetically predisposed individuals; it can be treated only through strict gluten avoidance. Therefore, rapid gluten detection is crucial for protecting the health of patients. Gluten contains two primary water-insoluble proteins: gliadin and glutenin. Gliadin is a key contributor to celiac disease and poses challenges for sample pretreatment owing to its insolubility, thereby reducing the accuracy and sensitivity of detection systems. Rapid sample processing is a critical problem in gliadin detection. In this report, we developed a gliadin sensor system called the integrated food allergy and microorganism sensor (iFAMs). The iFAMs comprises a gliadin lateral flow chip, a one-pot extraction solution, and an image assay app. The iFAMs enables gliadin extraction and detection in under 2 min with high sensitivity (0.04 mg/kg for gliadin, lower than the regulatory limit of 20 mg/kg). Users can easily measure gluten concentrations in samples and quantify gliadin levels using the smartphone-based image assay app. In samples collected from restaurants, the iFAMs successfully detected hidden gluten within "gluten-free" food items. The compact size and user-friendly design of the iFAMs render it suitable for not only consumers but also clinicians, food industries, and regulators to enhance food safety.

Identifiers

PMID39713688
PMCPMC11656241

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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.