Supporting data for Impact of macromonomer molar mass and feed composition on branch distributions in model graft copolymerizations

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2020-09-02
2021-03-20

Date completed

2021-10-13

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Supporting data for Impact of macromonomer molar mass and feed composition on branch distributions in model graft copolymerizations

Published Date

2021-12-07

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 the referenced manuscript. Graft polymers are useful in a versatile range of material applications. Understanding how changes to the grafted architecture, such as the grafting density (z), the side-chain degree of polymerization (Nsc), and the backbone degree of polymerization (Nbb), affect polymer properties is critical for accurately tuning material performance. For graft-through copolymerizations, changes to Nsc and z are controlled by the macromonomer degree of polymerization (NMM) and initial fraction of the macromonomer in the feed (fMM0), respectively. We show that changes to these parameters can influence the copolymerization reactivity ratios and, in turn, impact the side-chain distribution along a graft polymer backbone. Poly((±)-lactide) macromonomers with NMM values as low as ca. 1 and as high as 72 were copolymerized with a small-molecule dimethyl ester norbornene comonomer over a range of fMM0 values (0.1 ≤ fMM0 ≤ 0.8) using ring opening metathesis polymerization (ROMP). Monomer conversion was determined using 1H nuclear magnetic resonance spectroscopy, and the data were fit using terminal and non-terminal copolymerization models. The results from this work provide essential information for manipulating Nsc and z, while maintaining synthetic control over the side-chain distribution for graft-through copolymerizations.

Description

A full description can be found in the README.txt file. The files below include raw characterization data used in all analyses. Compiled monomer conversion data, which was interpreted from the attached raw data, is also included. The data is organized into two primary folders: (1) “Copolymerization Kinetic Data…” and (2) “Monomer and Copolymer Characterization Data…”. The data contained in these folders was used to generate all figures in the manuscript. The corresponding figure numbers are included in the title of each primary data folder. Subfolders and files are organized using the nomenclature established in the manuscript, which is also described in the “README.txt” file. All raw nuclear magnetic resonance spectroscopy data files can be accessed using MNova or Bruker software. CDX files can be viewed with ChemDraw, which is a proprietary software distributed by CambridgeSoft. All other files can be opened using Microsoft Excel. The archival copy includes same data but in .csv format.

Referenced by

Zografos, A., Lynd, N. A., Bates, F. S., & Hillmyer, M. A. (2021). Impact of Macromonomer Molar Mass and Feed Composition on Branch Distributions in Model Graft Copolymerizations. ACS Macro Letters., 0, 1622–1628.
https://doi.org/10.1021/acsmacrolett.1c00640

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Funding information

National Science Foundation, CHE-1901635
National Graduate Research Fellowship Program, DGE-1839286
Director, National Institutes of Health, S10OD011952

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Suggested citation

Zografos, Aristotelis; Lynd, Nathaniel A; Bates, Frank S; Hillmyer, Marc A. (2021). Supporting data for Impact of macromonomer molar mass and feed composition on branch distributions in model graft copolymerizations. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/han6-ac59.

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