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Swelling behaviors of poly(methyl methacrylate) nano-sized gels in PEG/alcohol solutions

Authors
Lee, Sang MinLee, Jae HyukBae, Young Chan
Issue Date
Nov-2014
Publisher
Elsevier BV
Keywords
Poly(methyl methacrylate); Molecular thermodynamics; Cosolvency; Re-collapsing transition; MDL-AF
Citation
Fluid Phase Equilibria, v.382, pp 107 - 115
Pages
9
Indexed
SCI
SCIE
SCOPUS
Journal Title
Fluid Phase Equilibria
Volume
382
Start Page
107
End Page
115
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158772
DOI
10.1016/j.fluid.2014.09.003
ISSN
0378-3812
1879-0224
Abstract
A new non-solvent pair (PEG and alcohol) that enhances the miscibility of poly(methyl methacrylate) (PMMA) is reported. A possible mechanism for the enhanced solvation effect (cosolvency) is discussed based on experimental and simulation data. Some factors that affect the miscibility of PMMA, such as temperature, molecular weight of the polymer, chemical and structural characteristics of alcohols, are investigated. The close relationship between the cosolvency of PMMA and the re-collapsing swelling behavior of PMMA particle gels is studied within the framework of molecular thermodynamics. A new version of lattice model, called the modified double-lattice associating fluid (MDL-AF), is introduced to consider specific interactions more systematically. Guggenheim's approach for the frequency of occupation provides a basis for the MDL-AF model to consider the probability of specific interactions between segments. The Helmholtz free energy of mixing is calculated by the MDL-AF model, and the Flory-Rehner (F-R) chain model is employed for the free energy of elasticity. Required interaction parameters are obtained from each binary system, and they are directly applied both to the ternary and swelling calculation. The proposed method is applied to PMMA solutions containing PEG200, PEG400, and a wide range of aliphatic alcohols. The calculation results well represent the experimental cosolvency and re-collapsing data, and exhibited a noticeable improvement compared to other models.
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