Evidence map›Paper›PMID 40198343›Full record

ArticleAnalytical and bioanalytical chemistry2025

Bimetallic-doped carbon quantum dots with enhanced photoluminescence and peroxidase-mimicking activity for dual-mode colorimetric and ratiometric fluorescence assay of alendronate.

Jue Wang, Guanglong Yu, Shuangshuang Wu, Haifeng Zhou, Xiaoqian Liu, Jiawei Han, Rui Yang

Abstract read
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Article in Analytical and bioanalytical chemistry, 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

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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. 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

7 authors.

Jue Wang *School of Pharmacy, Changzhou University, Changzhou, 213164, P.R. China.
Guanglong Yu *School of Pharmacy, Changzhou University, Changzhou, 213164, P.R. China.
Shuangshuang WuSchool of Pharmacy, Changzhou University, Changzhou, 213164, P.R. China.
Haifeng ZhouJiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, P.R. China.
Xiaoqian LiuSchool of Pharmacy, Changzhou University, Changzhou, 213164, P.R. China. chmliux@cczu.edu.cn.
Jiawei HanSchool of Pharmacy, Changzhou University, Changzhou, 213164, P.R. China. hanjiawei329@163.com.
Rui YangSchool of Pharmacy, Anhui Medical University, Hefei, 230032, P.R. China. yangrui@ahmu.edu.cn.

Funding

Changzhou Sci&Tech Program CJ20235040Changzhou Sci&Tech Program CQ20230080Changzhou Xitaihu Foundation for Frontier Technology of Cell Therapy Project 2024-P-057China Postdoctoral Science Foundation Funded Project 2023M740377China Postdoctoral Science Foundation Funded Project 2024M752702Graduate Research & Practice Innovation Projects of Jiangsu Province SJCX24-1738National Natural Science Foundation of China 82404546Natural Science Foundation of Jiangsu Province BK20240964Research Project of Changzhou University ZMF23020005Research Project of Changzhou University ZMF23020216
6 · The paper itself

Abstract

Carbon quantum dots (CQDs) are powerful signal transducers in dual-mode assays while still being challenged by their poor peroxidase-mimicking activity and photoluminescence property. Herein, bimetallic copper-iron-doped CQDs (CuFe-CQDs) as a multifunctional nanozyme were proposed for dual-mode colorimetric and ratiometric fluorescence assays of alendronate sodium (ALDS). Notably, CuFe-CQDs were identified to show enhanced and tunable photoluminescence and peroxidase-mimicking activities with bimetallic doping, ascribed to the boosting activation ability of H

Indexed as

AlendronateCarbonColorimetryPeroxidaseQuantum DotsCopperHumansIronLimit of DetectionSpectrometry, FluorescenceAlendronateCarbonCopperIronPeroxidaseAlendronateCarbon quantum dotsDual-modeMetal dopingPeroxidase-mimicking activityRatiometric fluorescence

Identifiers

PMID40198343

What OpenQuestion holds

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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.