Evidence map›Paper›PMID 40932517›Full record

ArticleMikrochimica acta2025

An electrochemical aptasensor for hydrocortisone detection using V-PMOF-derived porous nanomaterials from V

Zhuo Shi, Shuyi Yang, Zhenxia Ma, Zifeng Wang, Zhanhong Li, Linlin Wang, Ľubomír Švorc, Zhigang Zhu

Abstract read
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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. Not yet cited in PubMed.

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

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

8 authors.

Zhuo ShiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Shuyi YangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zhenxia MaSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zifeng WangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zhanhong LiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Linlin WangDepartment of Intensive Care Unit, Shidong Hospital, Yangpu District, Shanghai, 200438, China. neteaz@163.com.
Ľubomír ŠvorcInstitute of Analytical Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, Bratislava, 812 37, Slovak Republic.
Zhigang ZhuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. zhigang_zhu259@163.com.

Funding

International Cooperation Department of the Ministry of Science and Technology of China 2024-9-1Slovak Research and Development Agency SK-CN-23-0005
6 · The paper itself

Abstract

An electrochemical aptasensor for hydrocortisone (HC) detection was developed using a vanadium-based porphyrinic metal-organic framework (V-PMOF) materials synthesized from vanadium-based MXene (V₂CTₓ) and tetrakis (4-carboxyphenyl) porphyrin (TCPP), followed by thermal treatment at 800 °C to obtain V-PMOF

Indexed as

Aptamers, NucleotideBiosensing TechniquesElectrochemical TechniquesHydrocortisoneMetal-Organic FrameworksNanostructuresVanadiumElectrodesGoldHumansLimit of DetectionMetal NanoparticlesPorosityPorphyrinsAptamers, NucleotideGoldHydrocortisoneMetal-Organic FrameworksPorphyrinsVanadiumElectrochemical aptasensor; Differential pulse voltammetryHydrocortisone detectionVanadium-based porphyrinic metal–organic framework; Au nanoparticles

Identifiers

PMID40932517

What OpenQuestion holds

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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.