Enhanced vapor sorption in block and random copolymer brushes

Ivona Glišić, Guido C. Ritsema van Eck, Leon A. Smook, Sissi de Beer*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
55 Downloads (Pure)

Abstract

Polymer brushes in gaseous environments absorb and adsorb vapors of favorable solvents, which makes them potentially relevant for sensing applications and separation technologies. Though significant amounts of vapor are sorbed in homopolymer brushes at high vapor pressures, at low vapor pressures sorption remains limited. In this work, we vary the structure of two-component polymer brushes and investigate the enhancement in vapor sorption at different relative vapor pressures compared to homopolymer brushes. We perform molecular dynamics simulations on two-component block and random copolymer brushes and investigate the influence of monomer miscibility and formation of high-energy interfaces between immiscible monomers on vapor sorption. Additionally, we present absorption isotherms of pure homopolymer, mixed binary brush and 2-block, 4-block, and random copolymer brushes. Based on these isotherms, we finally show that random copolymer brushes absorb more vapor than any other architecture investigated thus far. Random brushes display enhanced sorption at both high and low vapor pressures, with the largest enhancement in sorption at low vapor pressures.

Original languageEnglish
Pages (from-to)8398-8405
Number of pages8
JournalSoft matter
Volume18
Issue number44
Early online date8 Oct 2022
DOIs
Publication statusPublished - 28 Nov 2022

Keywords

  • UT-Hybrid-D

Fingerprint

Dive into the research topics of 'Enhanced vapor sorption in block and random copolymer brushes'. Together they form a unique fingerprint.

Cite this