Evidence map›Paper›PMID 41767479›Full record

ArticleMacromolecules2026

Effect of Initiator Density, Catalyst Concentration, and Surface Curvature on the Uniformity of Polymers Grafted from Spherical Nanoparticles.

Rongguan Yin, Hanshu Wu, Xiaolei Hu, Khidong Kim, Francesca Lorandi, Dagmar R D'hooge, Edmondo M Benetti, Michael R Bockstaller, Krzysztof Matyjaszewski

Abstract read
In one paragraph

Article in Macromolecules, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Rongguan YinDepartment of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0002-8956-3226
Hanshu WuDepartment of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
Xiaolei HuDepartment of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0001-6943-6126
Khidong KimDepartment of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
Francesca LorandiLaboratory for Macromolecular and Organic Chemistry, Department of Chemical Sciences, University of Padova, Padova 35131, Italy.ORCID https://orcid.org/0000-0001-5253-8468
Dagmar R D'hoogeLaboratory for Chemical Technology, Department of Materials, Textiles and Chemical Engineering, Ghent University, Technologiepark 125, Zwijnaarde, Ghent B-9052, Belgium.ORCID https://orcid.org/0000-0001-9663-9893
Edmondo M BenettiLaboratory for Macromolecular and Organic Chemistry, Department of Chemical Sciences, University of Padova, Padova 35131, Italy.ORCID https://orcid.org/0000-0002-5657-5714
Michael R BockstallerDepartment of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0001-9046-9539
Krzysztof MatyjaszewskiDepartment of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0003-1960-3402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymer-grafted nanoparticles (PGNPs) are versatile hybrid materials whose properties critically depend on brush dimensions, uniformity, and grafting density. Herein, we systematically investigated how initiator density, catalyst concentration, and nanoparticle curvature govern the growth of poly-(methyl methacrylate) (PMMA) brushes grafted from spherical SiO

Identifiers

PMID41767479
PMCPMC12854752

What OpenQuestion holds

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LicenceCC BY
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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.