Evidence map›Paper›PMID 42729824›Full record

ArticleACS omega2026

Liter-Scale Precision Synthesis and Measurement of Nano-to-Micrometer Scale PSNPs with Graphene Liquid Cells.

Chanho Um, Joonwoo Seo, Yong Duk Kim, Inbo Park, Dong-Kwon Lim

Abstract read
In one paragraph

Article in ACS omega, 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
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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

5 authors.

Chanho UmKU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
Joonwoo SeoKU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.ORCID https://orcid.org/0009-0006-6591-9618
Yong Duk KimKU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.ORCID https://orcid.org/0000-0003-4457-5423
Inbo ParkKU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
Dong-Kwon LimKU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.ORCID https://orcid.org/0000-0001-6755-7477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monodisperse polystyrene nanoparticles (PSNPs) have great potential as standard materials in various fields, including environmental analysis, biological research, and instrumental calibration. However, reproducible liter-scale synthesis of PSNPs with controlled sizes across the nano-to-micrometer size range remains challenging because particle nucleation, growth, and colloidal stability are highly sensitive to polymerization conditions. In addition, particle size measurements often vary depending on the analytical method used. In this study, we report a robust liter-scale synthetic protocol for highly monodisperse PSNPs with controlled diameters of 50, 100, 200, and 1000 nm by optimizing key synthetic parameters. The synthesized PSNPs were benchmarked against commercial PSNP standards using transmission electron microscopy (TEM), dynamic light scattering, scanning mobility particle sizing, and static light scattering. Conventional dry-grid TEM yielded smaller apparent particle sizes than the particle size analyzers, indicating that drying and electron-beam exposure can influence the measured dimensions of soft polymer nanoparticles. To further evaluate the PSNP morphology under liquid-confined conditions, graphene liquid cell (GLC)-based solution-phase TEM was employed as a complementary characterization method.

Identifiers

PMID42729824
PMCPMC13564020

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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.