Evidence map›Paper›PMID 40454046›Full record

ArticleACS omega2025

Core-shell Particle Embedding into Human Hair: A Novel Approach for Surface Modification and Long-Lasting Hair Coloration.

Keiji Fujimoto, Megumi Nishimura, Yuuka Fukui

Abstract read
In one paragraph

Article in ACS omega, 2025. 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.

Keiji FujimotoThe Center for Chemical Biology, School of Fundamental Science and Technology, Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.ORCID https://orcid.org/0000-0003-4832-0321
Megumi NishimuraThe Center for Chemical Biology, School of Fundamental Science and Technology, Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
Yuuka FukuiThe Center for Chemical Biology, School of Fundamental Science and Technology, Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.ORCID https://orcid.org/0000-0003-4328-0754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To embed particles into human hair, core-shell (CS) particles were prepared by seeded emulsion polymerization and were arrayed to the surface of natural hair via dip coating. The particle-coated natural hair was treated at various temperatures in a controlled environment with a relative humidity of 5% (5% RH). No particle embedding was observed at 25 °C. However, the degree of particle embedding (DE) slightly increased at 50 °C and substantially at 150 °C. At 100% RH, embedding was effectively achieved at 50 °C, probably because the adsorbed water acted as a plasticizer, softening the hair. Bleached hair exhibited a significant reduction in surface wettability, whereas the DE of CS particles remained comparable to that of natural hair, indicating that surface wettability does not affect the particle embedding process. On the other hand, hair treated with a reducing agent displayed a notable increase in the DE, reaching approximately 20% even at 25 °C and increasing to 35% at 150 °C. At 100% RH, DE values dramatically increased to approximately 35%, even at 25 °C. Sudan Black B was incorporated into the CS particles to produce stained particles (CS-(B) particles). This staining process enabled the coloration of bleached hair by arranging and embedding CS-(B) particles. Visual observation confirmed uniform coloration of the hair samples. The color difference (Δ

Identifiers

PMID40454046
PMCPMC12120610

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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.