Evidence map›Paper›PMID 41629656›Full record

ArticleMikrochimica acta2026

Rapid detection of probiotics in aquaculture using a fluorescent ligand sensor based on a Zr-MOF@Methylene blue composite.

Jiaqing Ye, Hao Shen, Jiacai Wu, Bin Feng, Shaoning Yu

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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.

Jiaqing YeInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, 315211, China.
Hao ShenInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, 315211, China.
Jiacai WuInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, 315211, China.
Bin FengInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, 315211, China. fengbin@nbu.edu.cn.
Shaoning YuInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, 315211, China. yushaoning@nbu.edu.cn.

Funding

the Ningbo 2025 Science and Technology Major Project no. 2021Z018 and 2022Z148the Project of Ningbo Key R&D Plan and "Unveiling and Leading" no. 2023Z174the Zhejiang Natural Science Foundation ZCLQ24B0501
6 · The paper itself

Abstract

We constructed a novel fluorescent aptasensor based on Zr-MOF@MB composite material for rapid and highly sensitive detection of probiotics Bacillus subtilis and Lactobacillus acidophilus in shrimp aquaculture. The sensor utilizes a zirconium-based metal–organic framework to load the signal molecule methylene blue (MB) and immobilizes specific aptamers via Zr–O–P bonds to form a gating structure. In the presence of the target bacteria, a conformational change in the aptamer triggers the release of MB, leading to a decrease in fluorescence intensity, thereby enabling quantitative determination of the bacteria. The method completes detection within 30 min, with a linear range of 10¹ to 10⁷ CFU/mL and detection limit of 7 CFU/mL for B. subtilis and 10 CFU/mL for L. acidophilus. The developed sensor is simple to operate and highly sensitive, providing a reliable tool for effective monitoring of probiotics in shrimp aquaculture and offering new insights for the development of aptamer-based sensors for microbial detection in complex matrices.

Indexed as

Bacillus subtilisFluorescent aptasensorLactobacillus acidophilusMethylene blueZirconium-based metal-organic framework

Identifiers

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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.