Evidence map›Paper›PMID 42211272›Full record

ArticleChemical science2026

An acoustic platform for facile, size-targeted polymeric nanoparticle synthesis.

Keiran Mc Carogher, Lakshani J Weerarathna, Tanja Junkers, Simon Kuhn

Abstract read
In one paragraph

Article in Chemical science, 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.

Keiran Mc CarogherDepartment of Chemical Engineering, KU Leuven Celestijnenlaan 200F 3001 Leuven Belgium simon.kuhn@kuleuven.be.ORCID https://orcid.org/0000-0001-9241-5497
Lakshani J WeerarathnaPolymer Reaction Design Group, School of Chemistry, Monash University Clayton VIC 3800 Australia tanja.junkers@monash.edu.ORCID https://orcid.org/0000-0003-1084-9844
Tanja JunkersPolymer Reaction Design Group, School of Chemistry, Monash University Clayton VIC 3800 Australia tanja.junkers@monash.edu.ORCID https://orcid.org/0000-0002-6825-5777
Simon KuhnDepartment of Chemical Engineering, KU Leuven Celestijnenlaan 200F 3001 Leuven Belgium simon.kuhn@kuleuven.be.ORCID https://orcid.org/0000-0002-2816-0060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A nanoparticle synthesis platform exploiting acoustic irradiation was developed and found to be capable of reproducibly synthesising particles of different sizes. In this platform, acoustic emulsification is used to generate dispersed droplets that are subsequently converted into solid nanoparticles upon solvent removal. This work shows that acoustic emulsification can be used to transform nanoparticle synthesis from a qualitative, empirically optimized technique into a predictive platform for size control by linking cavitation-driven droplet formation to simple, experimentally validated design rules. This size control was readily achieved through the variation of two parameters: acoustic frequency and polymer concentration. Changes in frequency produced substantial shifts in particle size, with lower frequencies (132 kHz) generating larger cavitation bubbles that collapse more violently and produce smaller dispersed droplets, while adjustments in polymer concentration allowed for finer tuning of particle size upon solvent removal. Across the investigated combinations of frequency and polymer concentration, particle sizes in the range of 51-177 nm were obtained. Under the investigated conditions, the estimated droplet size for a given frequency remained independent of polymer concentration, enabling the application of a simple mass balance to predict the polymer concentration required to obtain the desired particle size.

Identifiers

PMID42211272
PMCPMC13215118

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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.