Literature DB >> 26459170

Characterization of carbon nanofiber mats produced from electrospun lignin-g-polyacrylonitrile copolymer.

Won-Jae Youe1, Soo-Min Lee1, Sung-Suk Lee1, Seung-Hwan Lee2, Yong Sik Kim3.   

Abstract

The graft copolymerization of acrylonitrile (AN) onto methanol-soluble kraft lignin (ML) was achieved through a two-step process in which AN was first polymerized with an α,α'-azobisisobutyronitrile initiator, followed by radical coupling with activated ML. A carbon nanofiber material was obtained by electrospinning a solution of this copolymer in N,N-dimethylformamide, then subjecting it to a heat treatment including thermostabilization at 250°C and subsequent carbonization at 600-1400°C. Increasing the carbonization temperature was found to increase the carbon content of the resulting carbon nanofibers from 70.5 to 97.1%, which had the effect of increasing their tensile strength from 35.2 to 89.4 MPa, their crystallite size from 13.2 to 19.1 nm, and their electrical conductivity from ∼0 to 21.3 Scm(-1). The morphology of the mats, in terms of whether they experienced beading or not, was found to be dependent on the concentration of the initial electrospinning solution. From these results, it is proposed that these mats could provide the basis for a new class of carbon fiber material.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon nanofibers; Copolymerization; Electrospinning; Lignin

Mesh:

Substances:

Year:  2015        PMID: 26459170     DOI: 10.1016/j.ijbiomac.2015.10.022

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  3 in total

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Journal:  RSC Adv       Date:  2022-05-19       Impact factor: 4.036

Review 2.  High-performance nanostructured bio-based carbon electrodes for energy storage applications.

Authors:  Adel Al Rai; Meltem Yanilmaz
Journal:  Cellulose (Lond)       Date:  2021-04-18       Impact factor: 5.044

3.  High-strength lignin-based carbon fibers via a low-energy method.

Authors:  Zhong Dai; Xiaojuan Shi; Huan Liu; Haiming Li; Ying Han; Jinghui Zhou
Journal:  RSC Adv       Date:  2018-01-02       Impact factor: 3.361

  3 in total

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