Evidence map›Paper›PMID 41148404›Full record

ArticleMikrochimica acta2025

Hierarchical MOF@MOF ratiometric fluorescent probe for ultrasensitive on-site detection of norfloxacin in food and environmental samples.

Xinlou Li, Ganghui Wang, Haoxiang Wang, Aijia Wang, Hongxu Guo

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Xinlou Li *College of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou, 363000, People's Republic of China.
Ganghui Wang *College of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou, 363000, People's Republic of China.
Haoxiang WangCollege of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou, 363000, People's Republic of China.
Aijia WangCollege of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou, 363000, People's Republic of China.
Hongxu GuoCollege of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou, 363000, People's Republic of China. guohx@mnnu.edu.cn.

Funding

Natural Science Foundation of Fujian Province,China 2020J01803
6 · The paper itself

Abstract

Norfloxacin (NFX) residues in food and environmental samples threaten human health, necessitating rapid on-site detection. A hierarchical MOF@MOF probe (Ag-MOF-74/NH₂-MIL-53(Al) for ratiometric NFX sensing has been fabricated, in which NH₂-MIL-53(Al) enhances NFX emission via hydrogen bonding and energy transfer, while Ag-MOF-74 provides a stable reference, enabling self-calibration. The probe can not only achieve ultrasensitive detection within 75 s, but also exhibits a low limit of detection (LOD), high selectivity and good reproducibility. A smartphone-based platform was designed for on-site quantification within minutes. Validated in milk, soil, and water, it showed excellent accuracy (98-102% recovery) and precision (RSD < 2.86%). This MOF@MOF strategy offers a robust on-site screening tool and a versatile design paradigm for food safety and environmental monitoring.

Indexed as

Fluorescent DyesFood ContaminationMetal-Organic FrameworksNorfloxacinAnimalsLimit of DetectionMilkReproducibility of ResultsSmartphoneSoilSpectrometry, FluorescenceFluorescent DyesMetal-Organic FrameworksNorfloxacinSoilFood and environmental samplesHierarchical MOF@MOFNorfloxacin residuesRatiometric fluorescenceSmartphone-based fluorescence platformUltrasensitive on-site detection

Identifiers

PMID41148404

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.