Evidence map›Paper›PMID 35498982›Full record

ArticleFood chemistry: X2022

Dual-color blending based visual LAMP for food allergen detection: A strategy with enlarged color variation range and contrast.

Fang Zhang, Chenshan Gao, Linlin Bai, Yiquan Chen, Shuying Liang, Xucong Lv, Jinyuan Sun, Shaoyun Wang

Abstract read
In one paragraph

Article in Food chemistry: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Sensitive and rapid detection ofFrontiers in cellular and infection microbiology · 2026
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4 · The record

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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.

Fang ZhangCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Chenshan GaoCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Linlin BaiCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Yiquan ChenClinical Laboratory, Nanan Hospital, Nanan 362300, China.
Shuying LiangCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Xucong LvCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Jinyuan SunBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China.
Shaoyun WangCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food allergy has been a serious public health problem around the world. Its prevention relies heavily on the effective avoidance of any contaminated food, making clear and accurate detection very important. LAMP is one of the most potent methods for allergen rapid detection. However, its current colorimetric readouts usually have low color contrast and narrow color variation range. Thus, here we proposed a strategy based on color evolution to enlarge the variation range as well as the contrast to improve its suitability for naked-eye observation. By simply blending two commonly used color change processes during amplification, a wider color variation window, and a near contrast color change, purple-to-green with a hues difference of 10 were obtained. Three important allergens (walnuts, hazelnuts, and peanuts) were tested with a comparable sensitivity towards fluorescent real-time LAMP. Its feasibility for practical use has also been studied. This simple but effective strategy provides a new idea for the colorimetric detection of LAMP amplicons and can be applied to various fields.

Indexed as

Color blendingColor evolutionFood allergenLAMP, loop-mediated isothermal amplificationLoop-mediated isothermal amplificationVisual detection

Identifiers

PMID35498982
PMCPMC9039889

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LicenceCC BY-NC-ND
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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.