Thia-Michael Reaction: The Route to Promising Covalent Adaptable Networks

While the Michael addition has been employed for more than 130 years for the synthesis of a vast diversity of compounds, the reversibility of this reaction when heteronucleophiles are involved has been generally less considered. First applied to medicinal chemistry, the reversible character of the hetero-Michael reactions has recently been explored for the synthesis of Covalent Adaptable Networks (CANs), in particular the thia-Michael reaction and more recently the aza-Michael reaction. In these cross-linked networks, exchange reactions take place between two Michael adducts by successive dissociation and association steps. In order to understand and precisely control the exchange in these CANs, it is necessary to get an insight into the critical parameters influencing the Michael addition and the dissociation rates of Michael adducts by reconsidering previous studies on these matters. This review presents the progress in the understanding of the thia-Michael reaction over the years as well as the latest developments and plausible future directions to prepare CANs based on this reaction. The potential of aza-Michael reaction for CANs application is highlighted in a specific section with comparison with thia-Michael-based CANs.

TEMPO driven thiol–ene reaction for the preparation of polymer functionalized silicon wafers

TEMPO driven thiol–ene reaction was utilized to prepare silicon (Si) wafers modified with a variety of polymer brushes, such as poly(N-isopropyl acrylamide), polystyrene, poly(isobornyl acrylate), poly(acrylic acid), and functionalized cysteine.

Computational and experimental approach to evaluate the effect of initiator concentration, solvents, and enes on the TEMPO driven thiol–ene reaction

The fundamental mechanism and reaction kinetics of the TEMPO initiated thiol–ene reaction between benzyl mercaptan and variable enes in the presence of varying initiator concentration and varying solvents has been studied experimentally and computationally.