Evidence map›Paper›PMID 42883594›Full record

ReviewFoods (Basel, Switzerland)2026

From Speed and Sensitivity to Robust Reliability: Addressing the Detection Bias of Loop-Mediated Isothermal Amplification (LAMP) in Food Authentication.

Xiong Xiong, Yahui Zhang, Mengxuan Liu, Yan Guo, Ying Yang

Abstract readReview
In one paragraph

Review 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
–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

5 authors.

Xiong XiongCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.ORCID 0000-0001-7965-5859
Yahui ZhangSchool of Horticulture, Anhui Agricultural University, Hefei 230036, China.
Mengxuan LiuCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Yan GuoCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Ying YangSchool of Horticulture, Anhui Agricultural University, Hefei 230036, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food adulteration poses severe threats to the integrity and safety of global food supply chains. Innovations in analytical techniques, especially the rapid development of LAMP-based detection methods, are indispensable for addressing these risks. However, the dominant research paradigm, which has long prioritized accelerated amplification kinetics and ultralow detection limits, largely obscures a critical limitation: insufficient detection reliability when deployed in complex field environments. This review consolidates state-of-the-art advances targeting reliability optimization and delineates key technical strategies to construct robust, improved-reliability LAMP platforms for real-food testing. Specifically, we summarize critical factors at the reaction and readout levels that compromise the reliability of LAMP under realistic scenarios, such as inexperienced operators, degraded samples, matrices containing inhibitory substances, and uncontrolled environments. We further elaborate on effective solutions to bridge the reliability gap between laboratory validation and on-site deployment, which requires coordinated technical improvements throughout the full LAMP testing pipeline. Ultimately, we propose a forward-looking developmental principle for next-generation LAMP assays: analytical reliability and operational robustness should be elevated to equal priority alongside the traditionally pursued ultra-rapid amplification and high sensitivity. This balanced technical framework may help pave the way toward large-scale standardization of LAMP-enabled food authentication, although its presumptive results must be confirmed by an independent validated method before they can support regulatory enforcement or other formal decisions.

Indexed as

analytical reliabilityfood adulterationloop-mediated isothermal amplificationon-site detectionoperational robustnessvisual detection

Identifiers

PMID42883594
PMCPMC13664364

What OpenQuestion holds

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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.