Evidence map›Paper›PMID 38076525›Full record

ArticleCrystal growth & design2023

Universality of Hair as a Nucleant: Exploring the Effects of Surface Chemistry and Topography.

Thomas H Dunn, Sebastian A Skaanvik, Ian J McPherson, Cedrick O'Shaughnessy, Xuefeng He, Alexander N Kulak, Stuart Micklethwaite, Adriana Matamoros-Veloza, Ilaria Sandei, Liam Hunter and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Crystal growth & design, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. A generic cross-seeding approach to protein crystallization.Journal of applied crystallography · 2025
    Article
  2. Article
  3. Article
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

18 authors at 5 institutions in 4 countries.

Thomas H DunnSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.
Sebastian A SkaanvikInterdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus C, Denmark.
Ian J McPhersonDepartment of Chemistry, University of Warwick, Coventry CV4 7AL, U.K.ORCID https://orcid.org/0000-0002-9377-515X
Cedrick O'ShaughnessySchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.
Xuefeng HeSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.
Alexander N KulakSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0002-2798-9301
Stuart MicklethwaiteSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.
Adriana Matamoros-VelozaSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0002-3870-9141
Ilaria SandeiSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.
Liam HunterSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.
Thomas D TurnerSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0003-3776-2044
Johanna M GallowaySchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0003-3998-0870
Martin RosenthalDepartment of Chemistry, KU Leuven, Celestijnenlaan 200F, Box 2404, B-3001 Leuven, Belgium.
Andrew J BrittonBragg Centre for Materials Research, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.
Marc WalkerDepartment of Physics, University of Warwick, Coventry CV4 7AL, U.K.
Mingdong DongInterdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus C, Denmark.ORCID https://orcid.org/0000-0002-2025-2171
Patrick R UnwinDepartment of Chemistry, University of Warwick, Coventry CV4 7AL, U.K.ORCID https://orcid.org/0000-0003-3106-2178
Fiona C MeldrumSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.ORCID https://orcid.org/0000-0001-9243-8517
University of Leeds · GBAarhus University · DKUniversity of Warwick · GBEuropean Synchrotron Radiation Facility · FRLoughborough University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to control crystal nucleation through the simple addition of a nucleating agent (nucleant) is desirable for a huge range of applications. However, effective nucleating agents are known for only a small number of systems, and many questions remain about the mechanisms by which they operate. Here, we explore the features that make an effective nucleant and demonstrate that the biological material hair-which naturally possesses a chemically and topographically complex surface structure-has excellent potential as an effective nucleating agent. Crystallization of poorly soluble compounds in the presence of hairs from a range of mammals shows that nucleation preferentially occurs at the cuticle step edges, while a novel microdroplet-based methodology was used to quantify the nucleating activities of different hairs. This showed that the activities of the hairs can be tuned over a wide range using chemical treatments. Analysis of the hair structure and composition using atomic force microscopy, scanning ion conductance microscopy, and X-ray photoelectron spectroscopy demonstrates that surface chemistry, surface topography, and surface charge all act in combination to create effective nucleation sites. This work therefore contributes to our understanding of heterogeneous nucleating agents and shows that surface topography as well as surface chemistry can be used in the design or selection of universal nucleating agents.

Identifiers

PMID38076525
PMCPMC10704409
OpenAlexW4388592016

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.