Evidence map›Paper›PMID 41227697›Full record

ArticleFoods (Basel, Switzerland)2025

Characterisation of SapYZUs891@Fe/Mn-MOF Provides Insight into the Selection of Temperate Phage and Nanozyme for the Rapid and Sensitive Colourimetric Detection of Viable

Wenyuan Zhou, Wenjuan Li, Yeling Han, Aiping Deng, Yajie Li, Qin Hu, Lei Yuan, Guoqiang Zhu, Zhenquan Yang

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

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

9 authors.

Wenyuan ZhouCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0002-6647-3201
Wenjuan LiCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Yeling HanCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Aiping DengCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Yajie LiCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Qin HuCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Lei YuanCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Guoqiang ZhuCollege of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Zhenquan YangCollege of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.

Funding

China Postdoctoral Science Foundation 2022M712695 and 2024T170755Guangdong Basic and Applied Basic Research Foundation 2023B1515120016National Natural Science Foundation of China 32102100National Natural Science Foundation of China 32372368Open Project of Jiangsu Key Laboratory of Zoonosis R2404
6 · The paper itself

Abstract

Although phage@nanozymes have proven to be a rapid, precise, and cost-effective method for detecting pathogens in food, the basis of phage and nanozyme selection remains poorly understood. In this study, a novel colourimetric biosensor utilising the temperate phage SapYZUs891 and an Fe/Mn-MOF nanozyme was constructed and assessed for its efficacy in detecting

Indexed as

bacteriophagecolourimetric determinationfood samplesoxidase mimicStaphylococcus

Identifiers

PMID41227697
PMCPMC12610485

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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.