Kinetic modeling of the effect of solvent concentration on primary cyclization during polymerization of multifunctional monomers

Citation
Je. Elliott et al., Kinetic modeling of the effect of solvent concentration on primary cyclization during polymerization of multifunctional monomers, CHEM ENG SC, 56(10), 2001, pp. 3173-3184
Citations number
53
Categorie Soggetti
Chemical Engineering
Journal title
CHEMICAL ENGINEERING SCIENCE
ISSN journal
00092509 → ACNP
Volume
56
Issue
10
Year of publication
2001
Pages
3173 - 3184
Database
ISI
SICI code
0009-2509(200105)56:10<3173:KMOTEO>2.0.ZU;2-R
Abstract
Controlling the swelling ratio, diffusion rate, and mechanical properties o f a crosslinked polymer is important in hydrogel design for biomedical appl ications. Each of these factors depends strongly on the degree of crosslink ing. Primary cyclization, where a propagating radical reacts intramolecular ly with a pendant double bond on the same chain, decreases the crosslinking density and increases the molecular weight between crosslinks. Processing conditions, specifically the solvent concentration, strongly affect the ext ent of primary cyclization. In this work the effects of solvent concentrati on and comonomer composition on primary cyclization are investigated using a novel kinetic model and experimental measurement of mechanical properties . Two divinyl crosslinking agents were investigated, diethyleneglycol dimet hacrylate (DEGDMA) and polyethyleneglycol 600 dimethacrylate (PEG(600)DMA), and each was copolymerized with hydroxyethyl methacrylate (HEMA) and octyl methacrylate (OcMA). The model is further used to predict the gel point co nversion and swelling ratio of PAA hydrogels polymerized in the presence of varying amounts of water. Model results show how increasing the solvent co ncentration during the polymerization increases the molecular weight betwee n crosslinks by nearly a factor of three and more than doubles the swelling ratio. Where possible, experimental results provide quantitative agreement with model predictions. (C) 2001 Elsevier Science Ltd. All rights reserved .