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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/305590
Title: Synthesis and Electrical Percolation of Highly Amorphous Polyvinyl Alcohol/Reduced Graphene Oxide Nanocomposite
Authors: Adami, R.
Lamberti, P.
Casa, M.
D’Avanzo, N.
Ponticorvo, E.
Cirillo, C.
Sarno, M.
Bychanok, D.
Kuzhir, P.
Yu, C.
Xia, H.
Ciambelli, P.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика
ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Электроника. Радиотехника
Issue Date: 2023
Publisher: MDPI
Citation: Materials 2023; 16(11):4060
Abstract: Polyvinyl alcohol is the most commercially water-soluble biodegradable polymer, and it is in use for a wide range of applications. It shows good compatibility with most inorganic/organic fillers, and enhanced composites may be prepared without the need to introduce coupling agents and interfacial modifiers. The patented high amorphous polyvinyl alcohol (HAVOH), commercialized with the trade name G-Polymer, can be easily dispersed in water and melt processed. HAVOH is particularly suitable for extrusion and can be used as a matrix to disperse nanocomposites with different properties. In this work, the optimization of the synthesis and characterization of HAVOH/reduced graphene oxide (rGO) nanocomposite obtained by the solution blending process of HAVOH and Graphene Oxide (GO) water solutions and ‘in situ’ reduction of GO is studied. The produced nanocomposite presents a low percolation threshold (~1.7 wt%) and high electrical conductivity (up to 11 S/m) due to the uniform dispersion in the polymer matrix as a result of the solution blending process and the good reduction level of GO. In consideration of HAVOH processability, the conductivity obtained by using rGO as filler, and the low percolation threshold, the nanocomposite presented here is a good candidate for the 3D printing of a conductive structure. © 2023 by the authors.
URI: https://elib.bsu.by/handle/123456789/305590
DOI: 10.3390/ma16114060
Scopus: 85161544616
Sponsorship: This research was funded by European Union Horizon 2020 H2020-MSCA-RISE-2016-734164 and H2020-MSCA-RISE-2018-823728, FARB funding University of Salerno-Italy, Academy of Finland 334270.All the authors acknowledge the project Graphene 3D funded by European Union Horizon 2020 H2020-MSCA-RISE-2016-734164. N.D., P.L., P.K., P.C. and R.A. acknowledge the project DiSeTCom funded by European Union H2020-MSCA-RISE-2018-823728, N.D., P.L., and R.A. acknowledge the FARB funding University of Salerno-Italy, P.K acknowledge the Academy of Finland 334270.
Licence: info:eu-repo/semantics/openAccess
Appears in Collections:Статьи НИУ «Институт ядерных проблем»

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