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MQ NMR and SPME Analysis of Nonlinearity in the Degradation of a Filled Silicone Elastomer
Author(s) -
Sarah C. Chinn,
Cynthia T. Alviso,
Elena S. F. Berman,
C Harvey,
Robert S. Maxwell,
Thomas S. Wilson,
Rebecca Cohenour,
Kay Saalwächter,
Walter Chassé
Publication year - 2010
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/jp1013797
Subject(s) - degradation (telecommunications) , mass spectrometry , materials science , silicone , spectroscopy , analytical chemistry (journal) , nuclear magnetic resonance spectroscopy , adsorption , chemistry , chromatography , organic chemistry , composite material , telecommunications , physics , quantum mechanics , computer science
Radiation-induced degradation of polymeric materials occurs through numerous, simultaneous, competing chemical reactions. Although degradation is typically found to be linear in adsorbed dose, some silicone materials exhibit nonlinear dose dependence due to dose-dependent dominant degradation pathways. We have characterized the effects of radiative and thermal degradation on a model filled-PDMS system, Sylgard 184 (commonly used in electronic encapsulation and in biomedical applications), using traditional mechanical testing, NMR spectroscopy, and sample headspace analysis using solid-phase microextraction (SPME) followed by gas chromatography/mass spectrometry (GC/MS). The mechanical data and (1)H spin-echo NMR spectra indicated that radiation exposure leads to predominantly cross-linking over the cumulative dose range studied (0-250 kGy) with a rate roughly linear with dose. (1)H multiple-quantum NMR spectroscopy detected a bimodal distribution in the network structure, as expected from the proposed structure of Sylgard 184. The MQ NMR spectra further indicated that the radiation-induced structural changes were not linear in adsorbed dose and that competing chain scission mechanisms made a greater contribution to the overall degradation process in the range of 50-100 kGy (although cross-linking still dominated). The SPME-GC/MS data were analyzed using principal component analysis (PCA), which identified subtle changes in the distributions of degradation products (the cyclic siloxanes and other components of the material) as a function of age that provide insight into the dominant degradation pathways at low and high adsorbed dose.

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