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Molecular self-healing mechanisms between C₆₀-fullerene and anthracene unveiled by Raman and two-dimensional correlation spectroscopy

Title data

Geitner, Robert ; Kötteritzsch, Julia ; Siegmann, Michael ; Fritzsch, Robby ; Bocklitz, Thomas ; Hager, Martin D. ; Schubert, Ulrich Sigmar ; Gräfe, Stefanie ; Dietzek, Benjamin ; Schmitt, Michael ; Popp, Jürgen:
Molecular self-healing mechanisms between C₆₀-fullerene and anthracene unveiled by Raman and two-dimensional correlation spectroscopy.
In: Physical Chemistry Chemical Physics. Vol. 18 (2016) Issue 27 . - pp. 17973-17982.
ISSN 1463-9084
DOI: https://doi.org/10.1039/C6CP03464K

Official URL: Volltext

Abstract in another language

The self-healing polymer P(LMA-co-MeAMMA) crosslinked with C60-fullerene has been studied by FT-Raman spectroscopy in combination with two-dimensional (2D) correlation analysis and density functional theory calculations. To unveil the molecular changes during the self-healing process mediated by the Diels-Alder equilibrium between 10-methyl-9-anthracenyl groups and C60-fullerene different anthracene-C60-fullerene adducts have been synthesized and characterized by time-, concentration- and temperature-dependent FT-Raman measurements. The self-healing process could be monitored via the C60-fullerene vibrations at 270, 432 and 1469 cm-1. Furthermore, the detailed analysis of the concentration-dependent FT-Raman spectra point towards the formation of anthracene-C60-fullerene adducts with an unusual high amount of anthracene bound to C60-fullerene in the polymer film, while the 2D correlation analysis of the temperature-dependent Raman spectra suggests a stepwise dissociation of anthracene-C60-fullerene adducts, which are responsible for the self-healing of the polymer.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Result of work at the UBT: No
DDC Subjects: 500 Science > 530 Physics
Date Deposited: 17 May 2023 13:41
Last Modified: 17 May 2023 13:41
URI: https://eref.uni-bayreuth.de/id/eprint/76309