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US 8,895,673 B2Granted
Macromonomers for preparation of degradable polymers and model networks
AssigneeThe Trustees of Columbia University in the City of New York
InventorsJeremiah Johnson, Jeffrey T. Koberstein, Nicholas J. Turro
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Abstract
The present invention relates to methods for preparing degradable model networks from any monomer functionality with any degradation methodology. It is based on the use of Atom-Transfer Radical Polymerization and CLICK chemistry to form the desired product.
Claims10
A method of preparing a linear macromonomer, comprising:
- a) preparing an initiator with at least one terminal halogen group, wherein the initiator contains a degradable linker for each of the terminal halogen groups, the degradable linker selected from the group consisting of a photodegradable linker, an ozonolyzable linker, and a biodegradable linker;
- b) using the initiator, polymerizing a first monomer through ATRP to form a polymeric halide having at least one terminal halogen group;
- c) modifying the polymeric halide through a post-polymerization transformation to replace the terminal halogen groups with desired functional end groups, wherein the desired functional end groups are selected from the group consisting of hydroxyl, acrylate, and azide.
A linear macromonomer, prepared by the method comprising:
- a) preparing an initiator with at least one terminal halogen group, wherein the initiator contains a degradable linker for each of the terminal halogen groups, the degradable linker selected from the group consisting of a photodegradable linker, an ozonolyzable linker, and a biodegradable linker;
- b) using the initiator, polymerizing a first monomer through ATRP to form a polymeric halide having at least one terminal halogen group;
- c) modifying the polymeric halide through a post-polymerization transformation to replace the terminal halogen groups with desired functional end groups, wherein the desired functional end groups are selected from the group consisting of hydroxyl, acrylate, and azide.
Dependencies are inferred from the claim text.