Evidence map›Paper›PMID 42073228›Full record

ArticleFoods (Basel, Switzerland)2026

Triplex Proofman-LMTIA: A Rapid, Specific, and Sensitive Assay for Detecting Wheat, Peanut, and Soybean Allergens in Foods.

Linqing Guo, Dan Zhou, Chunmei Song, Chaoqun Wang, Duoxuan Liu, Yue Cao, Xiaodong Zhang, Bo Tian, Deguo Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 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
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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

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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

9 authors.

Linqing GuoFood College, Northeast Agricultural University, Harbin 150000, China.
Dan ZhouKey Laboratory of Biomarker Based Rapid-Detection Technology for Food Safety of Henan Province, Food and Pharmacy College, Xuchang University, Xuchang 461000, China.
Chunmei SongKey Laboratory of Biomarker Based Rapid-Detection Technology for Food Safety of Henan Province, Food and Pharmacy College, Xuchang University, Xuchang 461000, China.
Chaoqun WangTechnology Center, Zhengzhou Customs District P. R. China, Zhengzhou 450000, China.
Duoxuan LiuCollege of Food Science, Southwest University, Chongqing 400715, China.
Yue CaoKey Laboratory of Biomarker Based Rapid-Detection Technology for Food Safety of Henan Province, Food and Pharmacy College, Xuchang University, Xuchang 461000, China.
Xiaodong ZhangKey Laboratory of Biomarker Based Rapid-Detection Technology for Food Safety of Henan Province, Food and Pharmacy College, Xuchang University, Xuchang 461000, China.ORCID 0000-0002-1675-7716
Bo TianFood College, Northeast Agricultural University, Harbin 150000, China.
Deguo WangFood College, Northeast Agricultural University, Harbin 150000, China.ORCID 0000-0003-0594-9533

Funding

Scientific Research Project of the General Administration of Customs of China (No: 2025HK167).
6 · The paper itself

Abstract

Wheat, soybean, and peanut are recognized as major food allergens, with their prevalence rising globally, necessitating rapid and reliable detection methods. A new detection approach was developed in this research, which integrates Ladder-shape Melting Temperature Isothermal Amplification (LMTIA) with Proofreading Enzyme-Mediated Probe Cleavage (Proofman) technology to enable the concurrent identification of wheat, soybean, and peanut allergens. Compared with the loop-mediated isothermal amplification (LAMP) method under the experimental conditions set in this study, this approach can reduce the false-positive results associated with LAMP, and it does not rely on sophisticated instrumentation required by technologies like mass spectrometry. The

Indexed as

allergen detectionladder-shape melting temperature isothermal amplificationmultiple detectionpeanutsoybeanwheat

Identifiers

PMID42073228
PMCPMC13115237

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LicenceCC BY
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Registered trials

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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.