Evidence map›Paper›PMID 42872189›Full record

ReviewACS applied polymer materials2026

Polymer-Based Hydrogels for Chemical Biosensing: From Bioreceptor Integration to Smart Applications.

Leyre De-La-Fuente, Miryam Criado-Gonzalez, Bergoi Ibarlucea

Abstract readReview
In one paragraph

Review in ACS applied polymer materials, 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

3 authors.

Leyre De-La-FuenteTECNALIA, Basque Research and Technology Alliance (BRTA), Mikeletegi Pasealekua 2, Donostia-San Sebastián 20009, Spain.
Miryam Criado-GonzalezInstitute of Polymer Science and Technology, CSIC, Juan de la Cierva 3, Madrid 28006, Spain.ORCID https://orcid.org/0000-0002-5502-892X
Bergoi IbarluceaTECNALIA, Basque Research and Technology Alliance (BRTA), Mikeletegi Pasealekua 2, Donostia-San Sebastián 20009, Spain.ORCID https://orcid.org/0000-0002-9899-1409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, flexible, wearable, and implantable chemical sensors and biosensors have become crucial in biomedical engineering. These flexible devices enable the noninvasive, real-time monitoring of biochemical markers in biofluids, from blood to the most accessible ones that enable noninvasive monitoring (sweat, tears, saliva, and interstitial fluid) as indicators of the health status. In their development, polymer-based hydrogels have emerged as the material of choice and have recently started to attract increasing attention due to advantages in terms of biocompatibility, surface area, and chemical tunability. Here, we provide an overview of the structural polymers according to their nature (natural vs synthetic), giving a special focus on the use of conductive polymers. Then, we discuss the strategies to integrate the bioreceptor to provide the hydrogels with the necessary selectivity toward biomarker detection. Finally, we go through emerging trends where hydrogels are employed in smart formats beyond the simple performance of the detection. As an overall, the integration of polymer-based hydrogels with advanced bioreceptor strategies and smart functionalities is driving the development of next-generation wearable and implantable biosensors, paving the way for noninvasive, continuous, and personalized diagnostics.

Indexed as

bioreceptor immobilizationbiosensingconductive polymersfunctional hydrogelshydrogel-based biosensors

Identifiers

PMID42872189
PMCPMC13660526

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.