Evidence map›Paper›PMID 35049673›Full record

ReviewBiosensors2022

Artificial Biomimetic Electrochemical Assemblies.

Tanja Zidarič, Matjaž Finšgar, Uroš Maver, Tina Maver

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
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.

Tanja ZidaričInstitute of Biomedical Sciences, Faculty of Medicine, University of Maribor, Taborska ulica 8, SI-2000 Maribor, Slovenia.ORCID 0000-0002-5466-510X
Matjaž FinšgarFaculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova ulica 17, SI-2000 Maribor, Slovenia.ORCID 0000-0002-8302-9284
Uroš MaverInstitute of Biomedical Sciences, Faculty of Medicine, University of Maribor, Taborska ulica 8, SI-2000 Maribor, Slovenia.ORCID 0000-0002-2237-3786
Tina MaverInstitute of Biomedical Sciences, Faculty of Medicine, University of Maribor, Taborska ulica 8, SI-2000 Maribor, Slovenia.

Funding

Ministry of education, science and sport Slovenia C3330-19-952027Slovenian Research Agency P3-0036, P2 0046, and J1-2470
6 · The paper itself

Abstract

Rapid, selective, and cost-effective detection and determination of clinically relevant biomolecule analytes for a better understanding of biological and physiological functions are becoming increasingly prominent. In this regard, biosensors represent a powerful tool to meet these requirements. Recent decades have seen biosensors gaining popularity due to their ability to design sensor platforms that are selective to determine target analytes. Naturally generated receptor units have a high affinity for their targets, which provides the selectivity of a device. However, such receptors are subject to instability under harsh environmental conditions and have consequently low durability. By applying principles of supramolecular chemistry, molecularly imprinted polymers (MIPs) can successfully replace natural receptors to circumvent these shortcomings. This review summarizes the recent achievements and analytical applications of electrosynthesized MIPs, in particular, for the detection of protein-based biomarkers. The scope of this review also includes the background behind electrochemical readouts and the origin of the gate effect in MIP-based biosensors.

Indexed as

Biosensing TechniquesMolecular ImprintingBiomimeticsEquipment DesignMolecularly Imprinted PolymersPolymersProteinsMolecularly Imprinted PolymersPolymersProteinsbiomoleculesbiosensorelectroanalysisMIPMIP-based biosensorsmolecularly imprinted polymer

Identifiers

PMID35049673
PMCPMC8773559

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.