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Molecular Dynamics Study of the Photodegradation of Polymeric Chains
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    Molecular Dynamics Study of the Photodegradation of Polymeric Chains
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    The Journal of Physical Chemistry Letters

    Cite this: J. Phys. Chem. Lett. 2022, 13, 19, 4374–4380
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    https://doi.org/10.1021/acs.jpclett.2c00802
    Published May 11, 2022
    Copyright © 2022 American Chemical Society

    Abstract

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    The development of reusable polymeric materials inspires an attempt to combine renewable biomass with upcycling to form a biorenewable closed system. It has been reported that 2,5-furandicarboxylic acid (FDCA) can be recovered for recycling when incorporated as monomers into photodegradable polymeric systems. Here, we conduct density functional theory (DFT) studies with periodic boundary conditions on microscopic structures involved in the photodegradation of polymeric chains incorporating FDCA and 2-nitro-1,3-benzenedimethanol. The photodegradation process of polymeric chains is studied using time-dependent excited-state molecular dynamics (TDESMD) in vacuum and aqueous environments. Changes in the photophysical properties for reaction intermediates are characterized by ground-state observables. The distribution of reaction intermediates and products is obtained from TDESMD trajectories using cheminformatics techniques. Results show that a higher degree of polymeric chain degradation is achieved in the vacuum environment. Additionally, one finds that the FDCA molecule is recoverable in the aqueous environment, in qualitative agreement with experimental findings.

    Copyright © 2022 American Chemical Society

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    Supporting Information

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jpclett.2c00802.

    • Theoretical methods, computational details, additional degradation results from TDESMD trajectories, Bader charge analysis (PDF)

    • Videos of representative TDESMD trajectories (MP4-1, MP4-2)

    • Transparent Peer Review report available (PDF)

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    Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html.

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    This article is cited by 3 publications.

    1. Meade Erickson, Gerardo Casañola-Martin, Yulun Han, Bakhtiyor Rasulev, Dmitri Kilin. Relationships between the Photodegradation Reaction Rate and Structural Properties of Polymer Systems. The Journal of Physical Chemistry B 2024, 128 (9) , 2190-2200. https://doi.org/10.1021/acs.jpcb.3c06854
    2. Joseph D. Granlie, Erik K. Hobbie, Dmitri S. Kilin. Formation and Luminescence of Single Oxygen Impurities on the Surface of SiC Nanocrystals. The Journal of Physical Chemistry Letters 2023, 14 (26) , 6202-6208. https://doi.org/10.1021/acs.jpclett.3c01182
    3. Gerardo M. Casanola-Martin, Anas Karuth, Hai Pham-The, Humbert González-Díaz, Dean C. Webster, Bakhtiyor Rasulev. Machine learning analysis of a large set of homopolymers to predict glass transition temperatures. Communications Chemistry 2024, 7 (1) https://doi.org/10.1038/s42004-024-01305-0

    The Journal of Physical Chemistry Letters

    Cite this: J. Phys. Chem. Lett. 2022, 13, 19, 4374–4380
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.jpclett.2c00802
    Published May 11, 2022
    Copyright © 2022 American Chemical Society

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