Supporting data for "Efficient Polymerization of Methyl-ε-Caprolactone Mixtures to Access Sustainable Aliphatic Polyesters"

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2018-01-01
2019-11-28

Date completed

2019-12-13

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Supporting data for "Efficient Polymerization of Methyl-ε-Caprolactone Mixtures to Access Sustainable Aliphatic Polyesters"

Published Date

2020-02-26

Author Contact

Hillmyer, Marc A
hillmyer@umn.edu

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Dataset

Abstract

These files contain primary data along with associated output from instrumentation supporting all results reported in Batiste et. al. "Efficient Polymerization of Methyl-ε-Caprolactone Mixtures to Access Sustainable Aliphatic Polyesters." In Batiste et. al. we found: Aliphatic polyesters are a versatile class of materials that can be sourced from bioderived feedstocks. Poly(γ-methyl-ε-caprolactone) (PγMCL) in particular can be used to make degradable thermoplastic elastomers (TPEs) with outstanding mechanical properties. PγMCL can potentially be manufactured economically from p-cresol, a component of lignin bio oils. A complication is that additional manufacturing processes are necessary to isolate pure cresol isomers. Using mixed feedstocks of cresol isomers to access the corresponding methyl substituted ε-caprolactone (MCL) monomer mixtures would convey economic advantages to sourcing these materials sustainably. Moreover, the use of organocatalysts in lieu of traditional tin-based catalysts averts issues with potential environmental and human toxicity. With these motivations in mind, we explored the ring-opening transesterification polymerization (ROTEP) of MCL mixtures and characterized the molecular, thermal and rheological properties of the resulting copolymers. The molar mass of MCL mixtures that would be obtained from meta- and para-cresol can be readily modulated. The thermal and rheological properties of these statistical co- and terpolymers were at parity with pure PγMCL homopolymer. The use of diphenyl phosphate (DPP) and dimethyl phosphate (DMP) as organocatalysts enabled access to these materials on reasonable polymerization timescales and have potential to improve sustainability in the synthesis of these polyesters.

Description

The folder below includes NMR, SEC, TGA, DSC, MALDI, and DMTA data for all reported samples. The zipped folder contains a series of subfolders with the data for each scheme, figure, or table, organized by the order in which each of these elements appear in the manuscript and supporting information document. PrimaryData.zip and PrimaryData.RAR are the same files and data. The zip-formatted file may present an error to users working with a Windows OS, but can still be opened using a third-party program such as 7zip. This error should not occur for users using a Mac OS.

Referenced by

Efficient Polymerization of Methyl-ε-Caprolactone Mixtures To Access Sustainable Aliphatic Polyesters Derek C. Batiste, Marianne S. Meyersohn, Annabelle Watts, and Marc A. Hillmyer Macromolecules DOI: 10.1021/acs.macromol.0c00050
https://doi.org/10.1021/acs.macromol.0c00050

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Funding information

National Science Foundation, CHE-1901635

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Suggested citation

Batiste, Derek, C; Meyersohn, Marianne S; Hillmyer, Marc A; Watts, Annabelle. (2020). Supporting data for "Efficient Polymerization of Methyl-ε-Caprolactone Mixtures to Access Sustainable Aliphatic Polyesters". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/wac6-s078.
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File View/OpenDescriptionSize
README.txtReadme Description of the Dataset1.42 MB
PrimaryData.zipPrimary Data for Efficient Polymerization of Methyl-e-Caproalctone Mixtures to Access Sustainable Aliphatic Polyesters (ZIP format 18,846 files)202.15 MB
PrimaryData.rarPrimary Data for Efficient Polymerization of Methyl-e-Caproalctone Mixtures to Access Sustainable Aliphatic Polyesters (RAR format 18,846 files)183.29 MB
Scheme1.cdxScheme 110.38 KB
Scheme2.cdxScheme 212.31 KB
Scheme3.cdxScheme 326.01 KB
Scheme4.cdxScheme 412.37 KB
Scheme4new.cdxNew Scheme 46.87 KB
Scheme5.cdxScheme 56.48 KB
SchemeS1.cdxScheme S110.55 KB
SchemeTable1.cdxScheme Table 17 KB

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