Evidence map›Paper›PMID 37998134›Full record

ArticleBiosensors2023

A Novel Molecularly Imprinted Sensor Based on CuO Nanoparticles with Peroxidase-like Activity for the Selective Determination of Astragaloside-IV.

Guo-Ying Chen, Ling-Xiao Chen, Jin Gao, Chengyu Chen, Jianli Guan, Zhiming Cao, Yuanjia Hu, Feng-Qing Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2023. 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
0.4field-weighted citation impact, top 48% of its field
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, 4 citations in OpenAlex.

  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

8 authors at 2 institutions in 2 countries.

Guo-Ying ChenDepartment of Pharmaceutical Engineering, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China.
Ling-Xiao ChenDepartment of Pharmaceutical Engineering, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China.
Jin GaoJiaheng Pharmaceutical Technology Co., Ltd., Zhuhai 519000, China.
Chengyu ChenJiaheng Pharmaceutical Technology Co., Ltd., Zhuhai 519000, China.
Jianli GuanJiaheng Pharmaceutical Technology Co., Ltd., Zhuhai 519000, China.
Zhiming CaoJiaheng Pharmaceutical Technology Co., Ltd., Zhuhai 519000, China.
Yuanjia HuState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao 999078, China.
Feng-Qing YangDepartment of Pharmaceutical Engineering, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China.ORCID 0000-0002-9300-5710
Chongqing University · CNUniversity of Macau · MO

Funding

Science and Technology Development Fund of Macau SAR No.: SKL Grant QRCM-IRG2022-010 and SKL-QRCM(UM)-2023-2025Zhuhai UM Science & Technology Research Institute No.: CP-033-2021
6 · The paper itself

Abstract

In this work, dopamine (DA) was polymerized on the surface of CuO nanoparticles (CuO NPs) to form a molecularly imprinted polymer (MIP@PDA/CuO NPs) for the colorimetric detection of astragaloside-IV (AS-IV). The synthesis process of MIP is simple and easy to operate, without adding other monomers or initiators. CuO NPs has high peroxidase (POD)-like activity that can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) to generate oxidized TMB (OxTMB) in the presence of H

Indexed as

Hydrogen PeroxideNanoparticlesCopperPeroxidaseReproducibility of ResultsCoppercupric oxideHydrogen PeroxidePeroxidaseastragaloside-IVCuO nanoparticlesmolecularly imprinted polymernanozymeperoxidase-like activity

Identifiers

PMID37998134
PMCPMC10669883
OpenAlexW4388095017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.