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Controlling self-assembling co-polymer coatings of hydrophilic polysaccharide substrates via co-polymer block length ratio

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journal contribution
posted on 2023-08-10, 13:46 authored by Alberto Scacchi, Kourosh Hasheminejad, Sousa Javan NikkhahSousa Javan Nikkhah, Maria Sammalkorpi

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 polymermixing interactions range, providing general means to tune surface coating films and their internal structure, including compartmentalization.

History

Publication

Journal of Colloid and Interface Science, 2023, 640, pp. 809–81

Publisher

Elsevier

Other Funding information

This work was supported by Business Finland Co-Innovation Grant No. 3767/31/2019 (M.S.) and the Academy of Finland through its Centres of Excellence Programme (2022–2029, LIBER) under project No. 346111 (M.S.). We are grateful for the support by FinnCERES Materials Bioeconomy Ecosystem. The authors acknowledge discussions with Anneli Lepo, Kemira Oyj, Finland. Computational resources by CSC IT Centre for Finland and RAMI – RawMatters Finland Infrastructure are also gratefully acknowledged.

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  • Bernal Institute

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  • (3) Good Health and Well-being
  • (6) Clean Water and Sanitation

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  • Physics

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