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Competing Time Scales in Surface-Driven Solution Depolymerization br

delete2022-10-14
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PRE
AI
W
Whitney C. Blocher McTigue
C
Charles E. Sing *
DOI:10.1021/acs.macromol.2c01528delete
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Abstract

Abstract

En 中文
Polymers that can undergo controlled or triggered depolymerization have garnered significant interest due to their use as recyclable or degradative materials. A variety of selfimmolative chemistries have been developed, where this application of a stimulus. Surface-driven polymer scission represents one possible process, where interaction with the surface can lead to the breaking of a chain into two portions. Despite the prevalence of this mode of depolymerization, there are few physical models to describe this process. In this paper, we develop a theoretical description of surface-driven scission, along with a competing unzipping process common in self-immolative polymers. This theory shows the role of competing diffusive and reactive time scales in determining depolymerization kinetics and how these time scales couple to the conformational statistics of a near-surface polymer chain. We also model the relationship between surface-driven and unzipping reaction kinetics, showing how they lead to different characteristics in the distribution of depolymerizing species. Coarse-grained simulations are also used to model these processes, and we can show agreement with our theory over a wide range of reaction kinetics, chain lengths, and depolymerization mechanisms. These models provide general predictions that can be used to inform the design and choice of self-immolative chemistries by connecting rate constants for individual reactions to the overall kinetics of depolymerization.
Keywords:
SELF-IMMOLATIVE POLYMERS
RANDOM SCISSION
CHAIN SCISSION
DEGRADATION
POLYETHYLENE
MODEL
END
HYDROGENOLYSIS
POLYMERIZATION
MOLECULES

Journal

Macromolecules cover
Macromolecules
IF:
5.2
Papers:
3.7W
Citations:
9.4W

Organization

University of Illinois System cover
University of Illinois System
Scholars:
6.8W
Papers: 6.2W
Citations: 644
L
Lehigh University
Scholars:
4.8K
Papers: 5.1K
Citations: 6.3K