Research Data Leeds Repository

Citation

Chen, Hangyu and Hunter, Timothy N. (2025) Influence of wettability on diffusion limited nanoparticle adsorption at gas-liquid interfaces - Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1746

Dataset description

Data related to study into the influence of hydrophobicity on particle adsorption by examining the behavior of hydrophobized silica particles at air-water interfaces. Langmuir-Blodgett (LB) trough studies of butanol (‘SiO-butane’) and hexanol (‘SiO-hexane’) esterified particles provided contrasting behavior. The SiO-butane particles formed weaker particle layers that underwent partial collapse with compression, leading to formations significantly below hexagonal close-packed estimates. In contrast, the SiO-hexane particles exhibited improved monolayer behavior and longer-range stability. Droplet surface tensions demonstrated that the hydrophobic particles significantly altered the dynamic tension during adsorption, when methyl isobutyl carbinol (MIBC) was added as a co-surfactant. Short-term modeling elucidated the role of diffusion and energy barriers on adsorption dynamics, with SiO-hexane having reduced diffusion coefficients with respect to SiO-butane and unmodified particles. Long-term modelling allowed calculation of specific adsorption rates.

Subjects:	F000 - Physical sciences > F300 - Physics > F320 - Chemical physics
Divisions:	Faculty of Engineering and Physical Sciences > School of Chemical and Process Engineering
Related resources:	Location Type https://doi.org/10.1016/j.jciso.2025.100154 Publication https://eprints.whiterose.ac.uk/id/eprint/231893/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	18 Sep 2025 11:06
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1458
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Chen, Hangyu https://orcid.org/0009-0002-5342-8062 University of Leeds https://ror.org/024mrxd33 ror Hunter, Timothy N. https://orcid.org/0000-0003-3922-491X University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Publication date: 2025 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: t.n.hunter@leeds.ac.uk Last Modified: 26 Sep 2025 17:27

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