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Highly Sensitive Built-In Strain Sensors for Polymer Composites: Fluorescence Turn-On Response through Mechanochemical Activation.
Li, Zhong'an; Toivola, Ryan; Ding, Feizhi; Yang, Jeffrey; Lai, Po-Ni; Howie, Tucker; Georgeson, Gary; Jang, Sei-Hum; Li, Xiaosong; Flinn, Brian D; Jen, Alex K-Y.
Afiliação
  • Li Z; Department of Materials Science and Engineering, University of Washington, Seattle, WA, 98195, USA.
  • Toivola R; Department of Materials Science and Engineering, University of Washington, Seattle, WA, 98195, USA.
  • Ding F; Department of Chemistry, University of Washington, Seattle, WA, 98195, USA.
  • Yang J; Department of Materials Science and Engineering, University of Washington, Seattle, WA, 98195, USA.
  • Lai PN; Department of Materials Science and Engineering, University of Washington, Seattle, WA, 98195, USA.
  • Howie T; Department of Materials Science and Engineering, University of Washington, Seattle, WA, 98195, USA.
  • Georgeson G; Boeing Research & Technology, Seattle, WA, 98108, USA.
  • Jang SH; Department of Materials Science and Engineering, University of Washington, Seattle, WA, 98195, USA.
  • Li X; Department of Chemistry, University of Washington, Seattle, WA, 98195, USA.
  • Flinn BD; Department of Materials Science and Engineering, University of Washington, Seattle, WA, 98195, USA.
  • Jen AK; Department of Materials Science and Engineering, University of Washington, Seattle, WA, 98195, USA.
Adv Mater ; 28(31): 6592-7, 2016 Aug.
Article em En | MEDLINE | ID: mdl-27184010
ABSTRACT
A new class of rationally designed mechanophores is developed for highly sensitive built-in strain sensors in polymer composites. These mechanophores are designed to regenerate the π-conjugation pathway between the electron donor and electron acceptor by force-induced cleavage of the covalent bond to form a fluorescent dipolar dye.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article