Evidence map›Paper›PMID 38652326›Full record

ArticleMikrochimica acta2024

Construction of a dual-signal readout platform for effective glutathione S-transferase sensing based on polyethyleneimine-capped silver nanoclusters and cobalt-manganese oxide nanosheets with oxidase-mimicking activity.

Zejiao Huo, Yuntai Lv, Nan Wang, Chenyu Zhou, Xingguang Su

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. 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
0.4field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Zejiao HuoDepartment of Analytical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.
Yuntai LvDepartment of Analytical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.
Nan WangDepartment of Analytical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.
Chenyu ZhouDepartment of Analytical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China.
Xingguang SuDepartment of Analytical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, People's Republic of China. suxg@jlu.edu.cn.ORCID http://orcid.org/0000-0001-9856-4653
Jilin University · CN

Funding

National Natural Science Foundation of China No. 22374058Open Funds of the State Key Laboratory of Electroanalytical Chemistry, China No. SKLEAC202201Science and Technology Development Project of Jilin Province, China No. 20220402001GH
6 · The paper itself

Abstract

A novel dual-mode fluorometric and colorimetric sensing platform is reported for determining glutathione S-transferase (GST) by utilizing polyethyleneimine-capped silver nanoclusters (PEI-AgNCs) and cobalt-manganese oxide nanosheets (CoMn-ONSs) with oxidase-like activity. Abundant active oxygen species (O

Indexed as

CobaltColorimetryGlutathione TransferaseManganese CompoundsMetal NanoparticlesOxidesPolyethyleneimineSilverBiosensing TechniquesGlutathioneHumansLimit of DetectionNanostructuresOxidation-ReductionOxidoreductasesPhenylenediaminesCobaltGlutathioneGlutathione TransferaseManganese Compoundsmanganese oxideOxidesOxidoreductasesPhenylenediaminesPolyethyleneimineSilverDual-mode sensingGlutathione S-transferase detectionNanozymeOxidase mimicPolyethyleneimine-capped silver nanoclusters

Identifiers

PMID38652326
OpenAlexW4395046419

What OpenQuestion holds

Textmetadata
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.