Tracking Local Mechanical Impact in Heterogeneous Polymers with Direct Optical Imaging

Structural heterogeneity defines the properties of many functional polymers and it is often crucial for their performance and ability to withstand mechanical impact. Such heterogeneity, however, poses a tremendous challenge for characterization of these materials and limits our ability to design the...

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Veröffentlicht in:Angewandte Chemie International Edition 2018-12, Vol.57 (50), p.16385-16390
Hauptverfasser: Filonenko, Georgy A., Lugger, Jody A. M., Liu, Chong, van Heeswijk, Ellen P. A., Hendrix, Marco M. R. M., Weber, Manuela, Müller, Christian, Hensen, Emiel J. M., Sijbesma, Rint P., Pidko, Evgeny A.
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Sprache:eng
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Zusammenfassung:Structural heterogeneity defines the properties of many functional polymers and it is often crucial for their performance and ability to withstand mechanical impact. Such heterogeneity, however, poses a tremendous challenge for characterization of these materials and limits our ability to design them rationally. Herein we present a practical methodology capable of resolving the complex mechanical behavior and tracking mechanical impact in discrete phases of segmented polyurethane—a typical example of a structurally complex polymer. Using direct optical imaging of photoluminescence produced by a small‐molecule organometallic mechano‐responsive sensor we observe in real time how polymer phases dissipate energy, restructure, and breakdown upon mechanical impact. Owing to its simplicity and robustness, this method has potential in describing the evolution of complex soft‐matter systems for which global characterization techniques fall short of providing molecular‐level insight. One probe to see them all: complex behavior of discrete phases of a heterogeneous polymer can be directly imaged by robust phosphorescent mechanophores. Hard phase rearrangement, breakdown, and crystallization were shown to have distinct optical response patterns that makes it possible to track and identify these diverse deformation mechanisms.
ISSN:1433-7851
1521-3773
DOI:10.1002/anie.201809108