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Supporting Data for Ring-Opening Copolymerizations of a CO2-derived δ-Valerolactone with ε-Caprolactone and L-Lactide

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2023-06-01
2024-05-24

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Supporting Data for Ring-Opening Copolymerizations of a CO2-derived δ-Valerolactone with ε-Caprolactone and L-Lactide

Published Date

2024-05-30

Author Contact

Tonks, Ian
itonks@umn.edu

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Dataset
Experimental Data

Abstract

These files contain primary data along with associated output from instrumentation supporting all results reported in Anderson et. al. Ring-Opening Copolymerizations of a CO2-derived δ-Valerolactone with ε-Caprolactone and L-Lactide. This work has expanded the synthetic polymer chemistry of the CO2-derived lactone EtVP through ring-opening co-polymerizations with ε-CL and LLA. Polymer properties and microstructures could be tuned through concurrent and se-quential copolymerization strategies, which led to the formation of either block, gradient, or random copolymers. ε-CL block copolymers resulted in semi-crystalline polymers regardless of the molar ratio employed. For LLA, copolymers remained amorphous, and mechanical testing showed improved elasticity relative to PLLA. Furthermore, ε-CL and LLA copolymers could be chemically recycled back to monomer utilizing Sn(Oct)2. While this work lays the foundation for EtVP-based copolymers, investigation into triblocks and other end-of-life options may further improve the potential ap-plications of these CO2-based (co)polymers.

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Each type of data is collected in a single main folder (e.g., NMR, SEC dRI, etc.) and then separated into corresponding folders.

Referenced by

Anderson, Ryan A; Fine, Rachel F; Rapagnani, Rachel M; Tonks, Ian A. Ring-Opening Copolymerizations of a CO2-derived δ-Valerolactone with ε-Caprolactone and L-Lactide. Macromolecules (forthcoming)

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CHE-1901635
S10OD011952

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Suggested citation

Anderson, Ryan A; Fine, Rachel F; Rapagnani, Rachel M; Tonks, Ian A. (2024). Supporting Data for Ring-Opening Copolymerizations of a CO2-derived δ-Valerolactone with ε-Caprolactone and L-Lactide. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/cnxb-m954.

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