Evidence map›Paper›PMID 41214027›Full record

ArticleScientific reports2025

The sensitive and selective electrochemical detection of carcinoembryonic antigen using a nanoMIPs-aptamer sandwich assay.

Chutimon Akkapinyo, Yingyot Poo-Arporn, Ramida Rattanakam, Kittitat Subannajui, Peter A Lieberzeit, Peter Wolschann, Rungtiva P Poo-Arporn

Abstract read
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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Chutimon AkkapinyoBiological Engineering Program, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand.
Yingyot Poo-ArpornSynchrotron Light Research Institute (Public Organization), Nakhon Ratchasima, 30000, Thailand.
Ramida RattanakamDepartment of Chemistry, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand.
Kittitat SubannajuiSchool of Materials Science and Innovation, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Peter A LieberzeitDepartment of Physical Chemistry, Faculty for Chemistry, University of Vienna, 1090, Vienna, Austria.
Peter WolschannInstitute of Theoretical Chemistry, University of Vienna, Vienna, 1090, Austria.
Rungtiva P Poo-ArpornBiological Engineering Program, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand. rungtiva.pal@kmutt.ac.th.

Funding

King Mongkut's University of Technology Thonburi: KMUTT Partnering lnitiative Grant in fiscal year 2025 30000121
6 · The paper itself

Abstract

Carcinoembryonic antigen (CEA) is a well-established cancer biomarker that plays a crucial role in cancer diagnosis, treatment monitoring, and recurrence detection. This study presents the development of a highly sensitive and selective electrochemical sensor based on molecularly imprinted polymer nanoparticles (nanoMIPs) for CEA detection. CEA-specific nanoMIPs were synthesized and immobilized onto a screen-printed carbon electrode, providing selective recognition sites for CEA binding. The electrochemical signal probe was constructed using a metal organic framework, UiO-66-NH

Indexed as

Aptamers, NucleotideBiosensing TechniquesCarcinoembryonic AntigenElectrochemical TechniquesNanoparticlesElectrodesHumansLimit of DetectionMolecularly Imprinted PolymersReproducibility of ResultsAptamers, NucleotideCarcinoembryonic AntigenMolecularly Imprinted PolymersCancerCarcinoembryonic antigenMetal organic frameworkMolecularly imprinted polymerNanoMIPs

Identifiers

PMID41214027
PMCPMC12603206

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.