Abstract
Designing benign catalytic systems is essential to accelerate polymerization research. This requires a thorough understanding of structural interactions between catalysts and monomers. We here report a combined approach involving bench experiments, density functional theory (DFT), and multivariate linear regression (MLR) to elucidate the structure-activity relationships of catalysts. Fluorophenol derived dual organocatalysts were designed and applied for ring-opening polymerization (ROP) of l-lactide (LLA), where the catalytic system exhibits high catalytic activity in bulk at 140 °C. Mechanistic studies revealed a synergistic catalytic process, where the dual organocatalysts activate the initiator and monomer through hydrogen bonding interaction. By applying a multivariate linear regression (MLR) model, the study identifies key electronic and thermodynamic descriptors that significantly influence the observed rate constants (kobs) in the catalytic process.
Original language | English |
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Pages (from-to) | 761-768 |
Number of pages | 8 |
Journal | New Journal of Chemistry |
Volume | 49 |
Issue number | 3 |
DOIs | |
State | Published - 13 Dec 2024 |