Evidence map›Paper›PMID 41375920›Full record

ArticleFoods (Basel, Switzerland)2025

Highly Sensitive Lateral Flow Immunoassay for Clenbuterol and Structurally Similar Beta2-Agonists in Meat.

Elena A Zvereva, Olga D Hendrickson, Dmitriy V Sotnikov, Anatoly V Zherdev, Xinxin Xu, Chuanlai Xu, Boris B Dzantiev

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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
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1 · What the graph read from it

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Elena A ZverevaA.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, Moscow 119071, Russia.ORCID 0000-0002-8709-2061
Olga D HendricksonA.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, Moscow 119071, Russia.ORCID 0000-0003-3799-9383
Dmitriy V SotnikovA.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, Moscow 119071, Russia.ORCID 0000-0002-4993-0685
Anatoly V ZherdevA.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, Moscow 119071, Russia.ORCID 0000-0003-3008-2839
Xinxin XuState Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Chuanlai XuState Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Boris B DzantievA.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, Moscow 119071, Russia.ORCID 0000-0003-4008-4918

Funding

The Russian Science Foundation 25-26-00214
6 · The paper itself

Abstract

Beta-agonists are growth promoters sparking considerable interest in animal husbandry. However, their numerous negative effects on health have led to a number of restrictions on their presence in agricultural products, which differ depending on the type of preparation and food. In this regard, there is a demand for methods of their mass, rapid, and easy control with strict, focused selectivity. In this paper, a lateral flow immunoassay (LFIA) with clenbuterol (CLE), a priority β2-agonist for food safety, as the main target compound is proposed. The LFIA is based on indirect labeling of specific antibodies by gold nanoparticles via anti-species antibodies. The development of the LFIA involved optimizing the concentrations of immunoreagents and the composition of the reaction mixture (buffer type and pH, ionic strength, detergents, and additional components). In qualitative (visual) mode, the LFIA detects up to 1.0 ng/mL of CLE. In quantitative mode, the detection limit reaches 0.02 ng/mL, surpassing previously described colorimetric LFIAs. The selectivity of the obtained and used monoclonal antibodies allows for the group-specific detection of CLE and structurally close (the presence of a trimethyl residue, similar charge distribution in the benzene ring) common β2-agonists-salbutamol and mabuterol-distinguishing them from other β-agonists, including the widely used β1-agonist ractopamine, which differs in application and biological activity. The assay time is 15 min. The application of the LFIA for meat samples demonstrated that the CLE recovery ranged between 86% and 104%. The obtained results confirm the effectiveness and competitive potential of the developed assay for screening meat products outside of laboratories.

Indexed as

clenbuterolfood safetygold nanoparticlesgrowth promotersimmunochromatographymeat products

Identifiers

PMID41375920
PMCPMC12691505

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