Projects per year
Abstract
An equilibrium state model addressing the aggregation and adsorption of colloidal assemblies in apolar solvents (oils) via monomer exchange is presented. The model is based on the previously reported step-wise aggregation response of fatty acids and monoglycerides in bio-oils, and captures surface crowding via scaled particle theory (SPT). The sensitivity of key observables - mean aggregation number, adsorbed surfactant amount, and free monomer concentration - to model parameters is demonstrated. Fits to molecular modelling based aggregation and adsorption data of oleic acid and monoolein reveal that the model accurately reproduces chemically specific aggregate exponential distributions in both bulk and surface phases, even outside of its parameterization conditions. A biased state model, where the initial bulk aggregation step (dimer formation) differs from other steps results in a notable improvement in accuracy. Fits to various phospholipid adsorption isotherms demonstrate the applicability of the model to isotherm type experimental data. The fits reveal either monolayer or aggregate like adsorption structures, depending on surfactant head group charge. The presented model provides an easily accessible, computationally feasible means to estimate colloidal assembly and adsorption in oil environments, and enables assessment of surfactant aggregation propensity and adsorption energetics.
Original language | English |
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Pages (from-to) | 783-794 |
Number of pages | 12 |
Journal | Journal of Colloid and Interface Science |
Volume | 630 |
Early online date | 22 Oct 2022 |
DOIs | |
Publication status | Published - 15 Jan 2023 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Adsorption
- Aggregation
- Colloids in oil
- Reverse micelles
- Scaled particle theory
- Self-assembly
- Surfactants
Fingerprint
Dive into the research topics of 'Equilibrium state model for surfactants in oils: Colloidal assembly and adsorption'. Together they form a unique fingerprint.Datasets
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2022_Vuorte_JCIS
Vuorte, M. (Creator) & Sammalkorpi, M. (Creator), Fairdata , 14 Oct 2022
DOI: 10.23729/2f498581-d200-43ae-b3b0-8673f2fdf89d, https://etsin.fairdata.fi/dataset/30917208-ce36-437e-930f-9b5075781678
Dataset
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LIBER Sammalkorpi: Life-like hybrid materials Sammalkorpi
Sammalkorpi, M. (Principal investigator), Hasheminejad, K. (Project Member), Holl, M. (Project Member), Kastinen, T. (Project Member), Morais Jaques, Y. (Project Member), Harmat, A. (Project Member) & Scacchi, A. (Project Member)
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding
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FinnCERES: Competence Center for the Materials Bioeconomy: A Flagship for our Sustainable Future
Mäkelä, K. (Principal investigator)
01/05/2018 → 31/12/2022
Project: Academy of Finland: Other research funding
Equipment
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Bioeconomy Research Infrastructure
Seppälä, J. (Manager)
School of Chemical EngineeringFacility/equipment: Facility
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Raw Materials Research Infrastructure
Karppinen, M. (Manager)
School of Chemical EngineeringFacility/equipment: Facility
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