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  5. Thermal and aqueous stability improvement of graphene oxide enhanced diphenylalanine nanocomposites
 
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Thermal and aqueous stability improvement of graphene oxide enhanced diphenylalanine nanocomposites

Author(s)
Ryan, Kate  
Neumayer, Sabine M.  
Maraka, Harsha Vardhan R.  
Buchete, Nicolae-Viorel  
Kholkin, Andrei L.  
Rice, James H.  
Rodriguez, Brian J.  
Uri
http://hdl.handle.net/10197/8512
Date Issued
2017-02
Date Available
2017-05-12T11:58:28Z
Abstract
Nanocomposites of diphenylalanine (FF) and carbon based materials provide an opportunity to overcome drawbacks associated with using FF micro- and nanostructures in nanobiotechnology applications, in particular, their poor structural stability in liquid solutions. In this study, FF/graphene oxide (GO) composites were found to self-assemble into layered micro- and nanostructures, which exhibited improved thermal and aqueous stability. Dependent on the FF/GO ratio, the solubility of these structures was reduced to 35.65% after 30 min as compared to 92.4% for pure FF samples. Such functional nanocomposites may extend the use of FF structures to, e.g., biosensing, electrochemical, electromechanical or electronic applications.
Sponsorship
European Commission - European Regional Development Fund
European Commission - Seventh Framework Programme (FP7)
Science Foundation Ireland
Other Sponsorship
Programme for Research in Third Level Institutions (PRTLI) Cycle 5
Russian Foundation for Fundamental Research
CICECO-Aveiro Institute of Materials
FCT/MEC
PT2020 Partnership Agreement
Type of Material
Journal Article
Publisher
National Institute for Materials Science
Journal
Science and Technology of Advanced Materials
Volume
18
Issue
1
Start Page
172
End Page
179
Copyright (Published Version)
2017 the Authors
Subjects

Diphenylalanine

Nanocomposites

Peptide nanotubes

Graphene oxide

Aqueous stability

DOI
http://hdl.handle.net/10197/8512
10.1080/14686996.2016.1277504
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Ryan_et_al_Sci_Tech_Adv_Mat_2017.pdf

Size

2.53 MB

Format

Adobe PDF

Checksum (MD5)

e66d40d624d91a32ef8bd3119e8001dd

Owning collection
Physics Research Collection
Mapped collections
Conway Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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