Evidence map›Paper›PMID 42796156›Full record

ReviewMicromachines2026

Molecularly Imprinted Polymers for Biosensing: From Synthetic Recognition to Integrated Biointerfaces.

Giovanna Di Pasquale, Antonino Pollicino

Abstract readReview
In one paragraph

Review in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Giovanna Di PasqualeDepartment of Chemical Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
Antonino PollicinoDepartment of Civil-Industrial Engineering and Architecture, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.ORCID 0000-0001-6814-9977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecularly imprinted polymers (MIPs) are synthetic receptors with cavities shaped around a template, combining antibody-like selectivity with chemical, thermal, and mechanical robustness; low cost; and reusability. This Review examines recent advances in MIP-based biosensing, from bulk materials to thin-film, nanostructured, surface-imprinted, and epitope-imprinted architectures designed to improve site accessibility and performance in complex biofluids. We connect polymer chemistry and interface design to molecular recognition and electrochemical, optical, and mass-sensitive transduction. Applications range from small molecules, proteins, nucleic acids, and viruses to whole cells, encompassing miniaturized, wearable, and point-of-care formats. Particular attention is devoted to design assisted by computational methods and machine learning, as well as to the challenges of reproducibility, standardization, metrology, and sustainability that still limit translation. Rather than universal substitutes for antibodies, MIPs are presented as programmable biointerfaces that integrate molecular recognition, signal transduction, device engineering, and the design of low-environmental-impact materials.

Indexed as

biosensorselectrochemical transductionepitope imprintingmachine-learning-assisted designmolecularly imprinted polymerspoint-of-care diagnosticssynthetic receptorswearable sensors

Identifiers

PMID42796156
PMCPMC13609329

What OpenQuestion holds

Textmetadata
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.