Environmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants

dc.contributor.authorHosseini, Seyed Mahmoud
dc.contributor.authorVoit, Walter E.
dc.contributor.authorEcker, Melanie
dc.contributor.utdAuthorHosseini, Seyed Mahmoud
dc.contributor.utdAuthorVoit, Walter E.
dc.contributor.utdAuthorEcker, Melanie
dc.date.accessioned2019-11-08T21:41:30Z
dc.date.available2019-11-08T21:41:30Z
dc.date.created2019-03-01
dc.description.abstractWhen using dynamically softening substrates for neural implants, it is important to have a reliable in vitro method to characterize the softening behavior of these materials. In the past, it has not been possible to satisfactorily measure the softening of thin films under conditions mimicking body environment without substantial effort. This publication presents a new and simple method that allows dynamic mechanical analysis (DMA) of polymers in solutions, such as phosphate buffered saline (PBS), at relevant temperatures. The use of environmental DMA allows measurement of the softening effects of polymers due to plasticization in various media and temperatures, which therefore allows a prediction of the materials behavior under in vivo conditions.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.description.departmentCenter for Engineering Innovation
dc.description.sponsorshipThis work was supported by the Office of the Assistant Secretary of Defense for Health Affairs through the Peer Reviewed Medical Research Program [W81XWH-15-1-0607].
dc.identifier.bibliographicCitationHosseini, S. M., W. E. Voit, and M. Ecker. 2019. "Environmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants." Journal of Visualized Experiments : JOVE 145: art. e59209, doi: 10.3791/59209 (2019)
dc.identifier.issn1940-087X
dc.identifier.issue145
dc.identifier.urihttps://hdl.handle.net/10735.1/7085
dc.language.isoen
dc.publisherNLM (Medline)
dc.relation.urihttps://dx.doi.org/10.3791/59209
dc.rights©2019 Journal of Visualized Experiments
dc.source.journalJournal of Visualized Experiments : JOVE
dc.subjectPolymers--Softening
dc.subjectPlasticizers
dc.subjectImmersion in liquids
dc.subjectThermomechanical measurements
dc.titleEnvironmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants
dc.type.genrearticle

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