Evidence map›Paper›PMID 41851509›Full record

ArticleAnalytical and bioanalytical chemistry2026

Dual-signal and dual-function probe Ni-MOF@Fe-CDs for sensitive and visual detection of uric acid.

Chunyan Yan, Bowen Yu, Zhengyue Xiao, Panrui He, Di Gao, Xiaomin Tang, Ping Qiu

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.

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

7 authors.

Chunyan YanSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China.
Bowen YuSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China.
Zhengyue XiaoSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China.
Panrui HeJi luan Academy Nanchang University, Nanchang, 330031, China.
Di GaoJi luan Academy Nanchang University, Nanchang, 330031, China.
Xiaomin TangAffiliated Rehabilitation Hospital of Nanchang University, Nanchang, 330003, China. ndsfy00395@ncu.edu.cn.
Ping QiuSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China. pingqiu@ncu.edu.cn.ORCID http://orcid.org/0000-0003-1680-6378

Funding

National Natural Science Foundation of China 21765015National Natural Science Foundation of China 21808099Science and the open project program of State Key Laboratory of Food Science and Resources, Nanchang University SKLF-KF-202416
6 · The paper itself

Abstract

In recent years, the development of nanozyme technology has provided new solutions, but some problems such as insufficient catalytic activity and limited multitarget detection capabilities still need to be addressed. Herein, iron-carbon dots (Fe-CDs) were loaded onto the petals of typical nanoflowery Ni-MOFs, and Ni-MOF@Fe-CDs with excellent catalytic performance and fluorescence characteristics were successfully prepared. Electron paramagnetic resonance (EPR) indicates that •OH is the key intermediate formed during the highly efficient catalytic process of H

Indexed as

Cadmium CompoundsFluorescent DyesIronMetal-Organic FrameworksNickelUric AcidCarbonCarbon Quantum DotsCatalysisElectron Spin Resonance SpectroscopyFluorescent Chemosensor CompoundsHumansHydrogen PeroxideLimit of DetectionSpectrometry, FluorescenceCadmium CompoundsCarbonFluorescent Chemosensor CompoundsFluorescent DyesHydrogen PeroxideIronMetal-Organic FrameworksNickelUric AcidCarbon dotsDual-mode sensingFluorescent probeMetal-organic frameworkNanozyme

Identifiers

PMID41851509

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.