Evidence map›Paper›PMID 42671581›Full record

ArticleAnalytical and bioanalytical chemistry2026

Bacterial biomineralization-engineered Ag-Pt nanozyme for label-free and sensitive colorimetric detection of enrofloxacin in aquatic products.

Zejun Wu, Meiyu Ji, Sizhang Feng, Xichun Zhang, Ning Gan, Cheng Zhao, Jincan He

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

7 authors.

Zejun WuSchool of Public Health, Guangdong Pharmaceutical University, No.283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China.
Meiyu JiSchool of Public Health, Guangdong Pharmaceutical University, No.283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China.
Sizhang FengSchool of Public Health, Guangdong Pharmaceutical University, No.283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China.
Xichun ZhangSchool of Public Health, Guangdong Pharmaceutical University, No.283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China.
Ning GanSchool of Public Health, Guangdong Pharmaceutical University, No.283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China. ganning@gdpu.edu.cn.
Cheng ZhaoPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, No.1 Xingyu Road, Liwan District, Guangzhou, 510370, China. zhaocheng1121@qq.com.
Jincan HeSchool of Public Health, Guangdong Pharmaceutical University, No.283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China. hejincan300@163.com.

Funding

Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences 2026XT150201"Discipline Enhancement, Innovation and Quality Improvement" Engineering Team of Guangdong Pharmaceutical University 2024QZ11National Natural Science Foundation of China 21804025the College Innovation and Entrepreneurship Training Program 202610573001Sthe College Innovation and Entrepreneurship Training Program G202604302002
6 · The paper itself

Abstract

The overuse of enrofloxacin (ENR) in aquaculture poses significant threats to ecological security and food safety, generating an urgent demand for instrument-free on-site detection. Herein, a Listeria-templated Ag-Pt bimetallic nanozyme (Listeria-Ag@Pt) was fabricated via a bacteria-templated in situ mineralization strategy. The intact bacterial template not only prevents nanoparticle aggregation to maximize peroxidase-like activity but also imparts inherent molecular recognition capability toward ENR without requiring antibodies or aptamers. The presence of ENR can enhance the catalytic efficiency of the nanozyme, significantly accelerating the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) by H

Indexed as

Bimetallic nanozymeBiomineralizationColorimetric sensingEnrofloxacinOn-site rapid detection

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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.