Evidence map›Paper›PMID 37765566›Full record

ReviewPolymers2023

Unlocking the Potential of Molecularly Imprinted Polydopamine in Sensing Applications.

Abderrahman Lamaoui, Abdellatif Ait Lahcen, Aziz Amine

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 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. Advanced electrochemical biosensing exploiting mussel-inspired polydopamine interfaces.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
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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

3 authors.

Abderrahman LamaouiProcess Engineering and Environment Lab, Chemical Analysis & Biosensors Group, Faculty of Science and Techniques, Hassan II University of Casablanca, B.P. 146, Mohammedia 28806, Morocco.ORCID 0000-0002-7616-017X
Abdellatif Ait LahcenWeill Cornell Medicine, Cornell University, New York, NY 10021, USA.
Aziz AmineProcess Engineering and Environment Lab, Chemical Analysis & Biosensors Group, Faculty of Science and Techniques, Hassan II University of Casablanca, B.P. 146, Mohammedia 28806, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecularly imprinted polymers (MIPs) are synthetic receptors that mimic the specificity of biological antibody-antigen interactions. By using a "lock and key" process, MIPs selectively bind to target molecules that were used as templates during polymerization. While MIPs are typically prepared using conventional monomers, such as methacrylic acid and acrylamide, contemporary advancements have pivoted towards the functional potential of dopamine as a novel monomer. The overreaching goal of the proposed review is to fully unlock the potential of molecularly imprinted polydopamine (MIPda) within the realm of cutting-edge sensing applications. This review embarks by shedding light on the intricate tapestry of materials harnessed in the meticulous crafting of MIPda, endowing them with tailored properties. Moreover, we will cover the diverse sensing applications of MIPda, including its use in the detection of ions, small molecules, epitopes, proteins, viruses, and bacteria. In addition, the main synthesis methods of MIPda, including self-polymerization and electropolymerization, will be thoroughly examined. Finally, we will examine the challenges and drawbacks associated with this research field, as well as the prospects for future developments. In its entirety, this review stands as a resolute guiding compass, illuminating the path for researchers and connoisseurs alike.

Indexed as

molecularly imprinted polymerpolydopamineself-polymerizationsensors

Identifiers

PMID37765566
PMCPMC10536926

What OpenQuestion holds

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LicenceCC BY
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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.