4.6 Article

Toward a practical method for measuring glass transition in polymers with low-frequency Raman spectroscopy

Journal

APPLIED PHYSICS LETTERS
Volume 122, Issue 26, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0155631

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Glass transition temperature is a crucial characteristic for describing the behavior of polymeric materials. The conformational entropy increase during glass transition affects the phonon density of states. Low-frequency Raman features, including the Boson peak and van Hove peak, and quasi-elastic Rayleigh scattering, contribute to the broad disorder band below 100 cm (-1) in amorphous materials. The temperature dependence of the ratio of integrated intensity near the Boson peak to that of the van Hove peak shows a kink at the glass transition temperature, indicating a change in the phonon density of states.
Glass transition temperature is one of the most important characteristics to describe the behavior of polymeric materials. When a material goes through glass transition, conformational entropy increases, which affects the phonon density of states. Amorphous materials invariably display low-frequency Raman features related to the phonon density of states resulting in a broad disorder band below 100 cm(-1). This band includes the Boson peak and a shoulder, which is dominated by the van Hove peak, and quasi-elastic Rayleigh scattering also contributes to the signal. The temperature dependence of the ratio of the integrated intensity in proximity of the Boson peak to that of the van Hove peak shows a kink near the glass transition temperature as determined by differential scanning calorimetry. Careful analysis of the Raman spectra confirms that this is related to a change in the phonon density of states at the transition temperature. This makes low-frequency Raman a promising technique for thermal characterization of polymers because not only is this technique chemically agnostic and contactless but also it requires neither intensity calibration nor deconvolution nor chemometric analysis. (c) 2023 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http:// creativecommons.org/licenses/by/4.0/).

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