Evidence map›Paper›PMID 42899718›Full record

ArticleACS macro letters2026

Nanoparticle-Enabled Interfacial Kinetic Control of Bond-Exchange Reactions: Insights from Biomedical Poly(ε-caprolactone)-Based Dynamic Polymers.

Klementina Pušnik Črešnar, Tadej Slatinek, Lidija Fras Zemljič, Sandra Schlögl

Abstract read
In one paragraph

Article in ACS macro letters, 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

4 authors.

Klementina Pušnik ČrešnarFaculty of Mechanical Engineering, University of Maribor, SI-2000Maribor, Slovenia.ORCID 0000-0001-5926-6522
Tadej SlatinekFaculty of Mechanical Engineering, University of Maribor, SI-2000Maribor, Slovenia.
Lidija Fras ZemljičFaculty of Mechanical Engineering, University of Maribor, SI-2000Maribor, Slovenia.
Sandra SchlöglPolymer Competence Center Leoben GmbH , AT-8700Leoben, Austria.ORCID 0000-0002-2840-9700

Funding

COMET ? i Competence Centers for Excellent Technologies NAFFG NASlovenian Research and Innovation Agency NA
6 · The paper itself

Abstract

Poly(ε-caprolactone) (PCL)-based dynamic polymers are promising adaptive biomaterials due to their biocompatibility, biodegradability, and high chain mobility; however, the onset temperature for bond-exchange reactions, often referred to as topology-freezing temperature, Tv, remains difficult to control and is typically treated as a bulk property governed by catalyst selection and network structure. Consequently, many reported dynamic polymers operate at temperatures well above the biomedical operating window, limiting their biomedical applicability. Here, we propose an interfacial kinetic engineering strategy in which nanoparticle-polymer interfaces act as localized kinetic regulators of dynamic covalent bond exchange. By tailoring nanoparticle (NP) surface chemistry, including functional group density, polarity, and catalytic activity, the activation energy (Ea) can be modulated at the nanoscale, enabling programmable control of Tv. Exchange kinetics in PCL-based dynamic polymers are expected to be highly sensitive to the local chemical environment, indicating that interfacial effects can decouple dynamic behavior from bulk composition. This perspective establishes NP-dynamic polymer interfaces as a programmable kinetic design parameter for controlling bond-exchange reactions in dynamic polymer networks, opening a pathway toward spatially defined covalent adaptable materials with application-specific and programmable dynamic behavior.

Identifiers

PMID42899718
PMCPMC13689931

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Registered trials

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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.