Evidence map›Paper›PMID 42821106›Full record

ArticleMikrochimica acta2026

Copper-doped mesoporous silica nanoparticles for constructing a single-particle enzyme-nanozyme cascade sensing system.

Yu Wu, Qing Liu, Pei-Lin Shen, Jia-Dong Zhang, Tian Shun Song, Xiang-Ling Li, Jing Jing Xie

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.

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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

7 authors.

Yu WuState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing, 211816, PR China.
Qing LiuState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing, 211816, PR China.
Pei-Lin ShenState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing, 211816, PR China.
Jia-Dong ZhangNational & Local Joint Engineering Research Center for Mineral Salt Deep Utilization, School of Chemical Engineering, Huai'an University, Huai'an, 223003, PR China.
Tian Shun SongState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing, 211816, PR China.
Xiang-Ling LiState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing, 211816, PR China. xlli@njtech.edu.cn.ORCID http://orcid.org/0000-0001-8198-9778
Jing Jing XieState Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing, 211816, PR China. xiej@njtech.edu.cn.

Funding

the Cultivation Program for Excellent Doctoral Dissertation of Nanjing Tech University 2025-16the National Key Research and Development Program of China 2021YFA0910400the Natural Science Foundation of Jiangsu Province BK20220002the Open Fund Program of National & Local Joint Engineering Research Center for Mineral Salt Deep Utilization SF202506Xinjiang Uygur Autonomous Region Major Science and Technology Special Project 2025A03009
6 · The paper itself

Abstract

Copper-doped mesoporous silica nanoparticles (Cu-MSNs) were developed as multifunctional carriers to construct a single-particle enzyme-nanozyme cascade system for colorimetric glucose detection. The mesoporous framework provided abundant sites for glucose oxidase (GOx) immobilization and substrate diffusion, while the incorporated Cu⁺/Cu

Indexed as

Biosensing TechniquesCopperGlucoseGlucose OxidaseNanoparticlesSilicon DioxideBenzidinesColorimetryEnzymes, ImmobilizedHumansHydrogen PeroxideLimit of DetectionOxidation-ReductionPorosity3,3',5,5'-tetramethylbenzidineBenzidinesCopperEnzymes, ImmobilizedGlucoseGlucose OxidaseHydrogen PeroxideSilicon DioxideCu-MSNsEnzyme-nanozyme cascadePaper-based analytical deviceSweat glucose analysis

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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.