Evidence map›Paper›PMID 36771930›Full record

ReviewPolymers2023

Molecularly Imprinted Polymer-Based Sensors for Protein Detection.

Semra Akgönüllü, Seçkin Kılıç, Cem Esen, Adil Denizli

Abstract readReview
In one paragraph

Review in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Magnetic imprinted surface enhanced Raman scattering biosensor for the detection of bone loss biomarker CTX-I.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. [Progress in electric field assisted molecular imprinting technology].Se pu = Chinese journal of chromatography · 2026
    Review
  8. Review
  9. [Molecular imprinting strategies and advances targeting biomembranes].Se pu = Chinese journal of chromatography · 2026
    Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

4 authors.

Semra AkgönüllüDepartment of Chemistry, Faculty of Science, Hacettepe University, 06800 Ankara, Turkey.ORCID 0000-0003-2245-8074
Seçkin KılıçDepartment of Chemistry, Faculty of Science, Hacettepe University, 06800 Ankara, Turkey.ORCID 0000-0001-8171-6892
Cem EsenDepartment of Chemistry, Faculty of Science, Aydın Adnan Menderes University, 09010 Aydın, Turkey.ORCID 0000-0003-4125-1642
Adil DenizliDepartment of Chemistry, Faculty of Science, Hacettepe University, 06800 Ankara, Turkey.ORCID 0000-0001-7548-5741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate detection of biological substances such as proteins has always been a hot topic in scientific research. Biomimetic sensors seek to imitate sensitive and selective mechanisms of biological systems and integrate these traits into applicable sensing platforms. Molecular imprinting technology has been extensively practiced in many domains, where it can produce various molecular recognition materials with specific recognition capabilities. Molecularly imprinted polymers (MIPs), dubbed plastic antibodies, are artificial receptors with high-affinity binding sites for a particular molecule or compound. MIPs for protein recognition are expected to have high affinity via numerous interactions between polymer matrices and multiple functional groups of the target protein. This critical review briefly describes recent advances in the synthesis, characterization, and application of MIP-based sensor platforms used to detect proteins.

Indexed as

biomoleculesmolecular imprintingmolecularly imprinted polymersnanofilmprotein detectionsensors

Identifiers

PMID36771930
PMCPMC9919373

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.