Projects per year
Abstract
Hypothesis: The degree of polymerization of amphiphilic di-block co-polymers, which can be varied with ease in computer simulations, provides a means to control self-assembling di-block co-polymer coatings on hydrophilic substrates.
Simulations: We examine self-assembly of linear amphiphilic di-block co-polymers on hydrophilic surface via dissipative particle dynamics simulations. The system models a glucose based polysaccharide surface on which random co-polymers of styrene and n-butyl acrylate, as the hydrophobic block, and starch, as the hydrophilic block, forms a film. Such setups are common in e.g. hygiene, pharmaceutical, and paper product applications.
Findings: Variation of the block length ratio (35 monomers in total) reveals that all examined compositions readily coat the substrate. However, strongly asymmetric block co-polymers with short hydrophobic segments are best in wetting the surface, whereas approximately symmetric composition leads to most stable films with highest internal order and well-defined internal stratification. At intermediate asymmetries, isolated hydrophobic domains form. We map the sensitivity and stability of the assembly response for a large variety of interaction parameters. The reported response persists for a wide polymer mixing interactions range, providing general means to tune surface coating films and their internal structure, including compartmentalization.
Original language | English |
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Pages (from-to) | 809-819 |
Number of pages | 11 |
Journal | Journal of Colloid and Interface Science |
Volume | 640 |
Early online date | 9 Mar 2023 |
DOIs | |
Publication status | Published - 15 Jun 2023 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Amphiphilic self-assembly
- Assembly morphology
- Block copolymer
- Hydrophilic surface
- Polymer coating
- Polymer film
- Surface functionalization
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Dive into the research topics of 'Controlling self-assembling co-polymer coatings of hydrophilic polysaccharide substrates via co-polymer block length ratio'. Together they form a unique fingerprint.Datasets
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2023_Scacchi_JCIS
Sammalkorpi, M. (Creator), Scacchi, A. (Creator) & Hasheminejad, K. (Creator), Fairdata , 3 Mar 2023
DOI: 10.23729/178999d8-bd95-4ce2-b5d3-84973c716357, https://etsin.fairdata.fi/dataset/d7aa4ae5-48de-4368-92c9-1abeb22dae93
Dataset
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FinnCERES: Competence Center for the Materials Bioeconomy: A Flagship for our Sustainable Future
Hämäläinen, J. (Principal investigator)
01/05/2022 → 30/06/2026
Project: Academy of Finland: Other research funding
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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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MM-R&D: Molekyylimallitus teollisessa tuotekehityksessä
Laasonen, K. (Principal investigator), Karttunen, A. (Project Member), Sammalkorpi, M. (Project Member) & Karttunen, V. (Project Member)
01/03/2019 → 31/08/2019
Project: Business Finland: Other research funding
Equipment
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Raw Materials Research Infrastructure
Karppinen, M. (Manager)
School of Chemical EngineeringFacility/equipment: Facility