Evidence map›Paper›PMID 35980479›Full record

ArticleMikrochimica acta2022

Impedimetric aptasensor based on zirconium-cobalt metal-organic framework for detection of carcinoembryonic antigen.

Yingpan Song, Kun Chen, Senrui Li, Linghao He, Minghua Wang, Nan Zhou, Miao Du

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Article in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Yingpan SongCollege of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China.
Kun ChenCollege of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China.
Senrui LiDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Linghao HeCollege of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China.
Minghua WangCollege of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China.
Nan ZhouDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China. fcczhoun@zzu.edu.cn.
Miao DuCollege of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China. dumiao@zzuli.edu.cn.

Funding

Key Research Project of University of Henan Province 19zx004Scientific and Technological Project of Henan Province 222102310493
6 · The paper itself

Abstract

A zirconium-cobalt metal-organic framework (ZrCo-MOF) was prepared and used as sensing material to fabricate an aptasensor for trace detection of carcinoembryonic antigen (CEA). The ZrCo-MOF integrates the 3D porous structure and abundant defects of the MOF framework, the catalytic activity and inherent redox behavior of Co, and high stability of Zr-MOF, providing abundant active sites to effectively anchor aptamers. As a result, the ZrCo-MOF-based aptasensor shows high sensitivity to detect CEA via specific recognition between aptamer and CEA, as well as the formation of aptamer-CEA complex. A detection limit of 0.35 fg·mL

Indexed as

Aptamers, NucleotideMetal-Organic FrameworksCarcinoembryonic AntigenCobaltHumansLimit of DetectionReproducibility of ResultsZirconiumAptamers, NucleotideCarcinoembryonic AntigenCobaltMetal-Organic FrameworksZirconiumCarcinoembryonic antigen detectionEarly diagnosisElectrochemical aptasensorElectrochemical impedance spectroscopyZrCo-MOF

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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.