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Polyhydroxyalkanoate/carbon nanotube nanocomposites: flexible electrically conducting elastomers for neural applications

Overview of attention for article published in Nanomedicine, September 2016
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Title
Polyhydroxyalkanoate/carbon nanotube nanocomposites: flexible electrically conducting elastomers for neural applications
Published in
Nanomedicine, September 2016
DOI 10.2217/nnm-2016-0075
Pubmed ID
Authors

Catalina Vallejo-Giraldo, Eugenia Pugliese, Aitor Larraaga, Marc A Fernandez-Yague, James J Britton, Alexandre Trotier, Ghazal Tadayyon, Adriona Kelly, Ilaria Rago, Jose-Ramon Sarasua, Eils Dowd, Leo R Quinlan, Abhay Pandit, Manus JP Biggs

Abstract

Medium chain length-polyhydroxyalkanoate/multi-walled carbon nanotube (MWCNTs) nanocomposites with a range of mechanical and electrochemical properties were fabricated via assisted dispersion and solvent casting, and their suitability as neural interface biomaterials was investigated. Mechanical and electrical properties of medium chain length-polyhydroxyalkanoate/MWCNTs nanocomposite films were evaluated by tensile test and electrical impedance spectroscopy, respectively. Primary rat mesencephalic cells were seeded on the composites and quantitative immunostaining of relevant neural biomarkers, and electrical stimulation studies were performed. Incorporation of MWCNTs to the polymeric matrix modulated the mechanical and electrical properties of resulting composites, and promoted differential cell viability, morphology and function as a function of MWCNT concentration. This study demonstrates the feasibility of a green thermoplastic MWCNTs nanocomposite for potential use in neural interfacing applications.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Student > Master 12 21%
Student > Bachelor 5 9%
Researcher 5 9%
Student > Doctoral Student 3 5%
Other 6 10%
Unknown 12 21%
Readers by discipline Count As %
Engineering 11 19%
Materials Science 7 12%
Agricultural and Biological Sciences 6 10%
Chemistry 5 9%
Immunology and Microbiology 2 3%
Other 11 19%
Unknown 16 28%