Evidence map›Paper›PMID 40383856›Full record

ArticleMikrochimica acta2025

Self-cascade and self-activated nanozyme based on Au quantum dot modified covalent organic framework for rapid and sensitive detection of live bacteria.

Yan Tang, Hongmei Ma, Hao Shen

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Yan TangKey Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211, Zhejiang, China.
Hongmei MaOffice of Research Affairs, Zhejiang Wanli University, Ningbo, 315100, Zhejiang, China. mahongmei@zwu.edu.cn.
Hao ShenKey Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211, Zhejiang, China. shenhao@nbu.edu.cn.

Funding

Open Fund of the State Key Laboratory of Molecular Reaction Dynamics in DICP, CAS SKLMRD-K202208Project of Ningbo Key R&D Plan and "Unveiling and Leading" 2023Z174Zhejiang Provincial Natural Science Foundation of China LQN25B050006
6 · The paper itself

Abstract

Multi-enzymes-guided cascade biocatalysis plays an important role in both nature and industry. Nevertheless, the inherent defects of natural enzymes (e.g., unattractive robustness, sensitivity, and reproducibility under severe catalytic environments) have limited their wider employment. Here, a self-cascade nanozyme was synthesized via depositing Au quantum dots (Au QDs) on iron ions and cysteine-doped porphyrin covalent organic framework (Fe@cpCOF). The in situ introduction of cysteine created a beneficial microenvironment around the iron-porphyrin catalytic center, facilitating the activity of the nanozyme. Through the regulation of Au QDs deposition amount on the surface of Fe@cpCOF, the synthetic nanozyme not only possessed robust glucose oxidase (GOx) mimicking activity but also demonstrated promoted peroxidase (POD) mimicking activity. In the self-cascade system, the innocuous glucose could be constantly transformed to sufficient gluconic acid and H

Indexed as

Biosensing TechniquesEscherichia coliMetal-Organic FrameworksQuantum DotsCysteineGlucose OxidaseGoldHydrogen PeroxideIronLimit of DetectionPeroxidasePorphyrinsCysteineGlucose OxidaseGoldHydrogen PeroxideIronMetal-Organic FrameworksPeroxidasePorphyrinsBacteria detectionCovalent organic frameworkNanozymeSelf-cascadeUV-vis 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.