期刊
POLYMER CHEMISTRY
卷 13, 期 7, 页码 861-876出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/d1py01471d
关键词
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资金
- Chinese Scholarship Council (CSC) [201506780014]
- Ghent University (BOF) [01SC1717]
- Fund for Scientific Research Flanders through a postdoctoral fellowship
- Special Research Fund of Ghent University (BOF-UGent)
- FWO [G.0H52.16N]
Cationic ring-opening polymerization (CROP) is an interesting synthesis technique for obtaining well-defined polymers with narrow molar mass distribution. By combining experimental data recording and kinetic Monte Carlo modeling, a detailed understanding of the relationship between reaction conditions and molecular properties of poly(2-oxazoline)s (PAOx) can be obtained for optimization of the synthesis of well-defined PAOx building blocks. The validated model provides insights into the type of macrospecies present and allows differentiation between different coupling reactions.
Cationic ring-opening polymerization (CROP) is an interesting synthesis technique to obtain well-defined polymers with narrow molar mass distribution (MMD). Upon using a multifunctional initiator, well-defined multi-arm or star polymers can be obtained, provided that the chain initiation is controlled and star coupling is minimized or even avoided. In the present work, experimental data recording and kinetic Monte Carlo modeling are combined to identify differences and similarities upon increasing the functionality degree of tosylate- and nosylate-based initiators for the CROP of several 2-oxazoline monomers (2-ethyl-2-oxazoline (EtOx), 2-n-propyl-2-oxazoline (nPropOx), and 2-isopropyl-2-oxazoline (iPropOx)), while allowing for a variation of the solvent: acetonitrile and chlorobenzene. The synergistic approach taken between experiments and modeling offers a more detailed understanding of the relationship between reaction conditions and molecular properties of poly(2-oxazoline)s (PAOx). This enables the optimization of the reaction conditions and control strategies for the synthesis of well-defined PAOx building blocks. It is further showcased that the simulated log-MMD contains dedicated information on the type of macrospecies present, specifically those related to coupling reactions. The validated model can for instance highlight if linear species have coupled once or more and allows the differentiation between SEC shoulders/peaks that originate from star coupling or just star-to-star compositional deviations.
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