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Microwave-assisted Functionalization of Polyethylene glycol and On-resin Peptides for Use in Chain Polymerizations and Hydrogel Formation
Published on: October 29, 2013
Cyclodextrin-Silica Hybrid PEG Hydrogels: Mechanistic Coupling Between Stiffness, Relaxation, and Molecular Transport
Anca Daniela Raiciu1,2, Amalia Stefaniu3
1Department of Pharmacognosy, Phytochemistry, and Phytotherapy, Faculty of Pharmacy, Titu Maiorescu University, Gh. Şincai Street No. 16, District 4, 040314 Bucharest, Romania.
None:
Hybrid supramolecular-nanocomposite hydrogels based on polyethylene glycol (PEG), β-cyclodextrin-adamantane host-guest interactions, and silica nanoparticles represent an important class of hierarchical soft materials with tunable viscoelastic and transport properties. This review critically analyzes recent progress in cyclodextrin-silica hybrid PEG hydrogels, focusing on the mechanistic coupling between stiffness, stress relaxation, and molecular transport arising from the interplay between reversible supramolecular crosslinks and nanoparticle-induced confinement effects. Particular attention is given to how host-guest exchange kinetics regulate dynamic bond rearrangement and affinity-mediated retention of hydrophobic cargo, while silica nanoparticles enhance mechanical reinforcement and modify diffusion pathways through tortuosity and interfacial polymer-particle interactions. The analysis highlights how nanoparticle size, loading level, and surface functionalization influence relaxation spectra and network topology, as well as how environmental stimuli may affect supramolecular bond stability and overall material performance. Comparison with alternative inorganic fillers and mesoporous silica architectures further clarifies the specific advantages of silica in achieving balanced mechanical stability and controlled transport behavior. Overall, current evidence indicates that hybrid CD-silica networks enable partial decoupling of stiffness, relaxation dynamics, and diffusion, although complete independence remains constrained by fundamental polymer physics relationships. These insights support the development of predictive structure-property frameworks for advanced biomedical and controlled release applications.

