Lignosulfonate-Based Conducting Flexible Polymeric Membranes for Liquid Sensing Applications
authors Magina, S; Rudnitskaya, A; Soreto, S; Costa, LC; Barros-Timmons, A; Evtuguin, DV
nationality International
journal MATERIALS
author keywords lignosulfonate; potentiometric sensors; carbon nanotubes; conducting polymer; electrical conductivity; transition metals; graphene; ionic liquid
keywords ION-SELECTIVE ELECTRODES; HEAVY-METAL IONS; POTENTIOMETRIC SENSORS; DIELECTRIC-PROPERTIES; THERMAL-PROPERTIES; CARBON NANOTUBES; CHEMICAL SENSORS; SCHIFF-BASE; LIGNIN; COMPOSITES
abstract In this study, lignosulfonate (LS) from the acid sulfite pulping of eucalypt wood was used to synthesize LS-based polyurethanes (PUs) doped with multiwalled carbon nanotubes (MWCNTs) within the range of 0.1-1.4% w/w, yielding a unique conducting copolymer composite, which was employed as a sensitive material for all-solid-state potentiometric chemical sensors. LS-based PUs doped with 1.0% w/w MWCNTs exhibited relevant electrical conductivity suitable for sensor applications. The LS-based potentiometric sensor displayed a near-Nernstian or super-Nernstian response to a wide range of transition metals, including Cu(II), Zn(II), Cd(II), Cr(III), Cr(VI), Hg(II), and Ag(I) at pH 7 and Cr(VI) at pH 2. It also exhibited a redox response to the Fe(II)/(III) redox pair at pH 2. Unlike other lignin-based potentiometric sensors in similar composite materials, this LS-based flexible polymeric membrane did not show irreversible complexation with Hg(II). Only a weak response toward ionic liquids, [C(2)mim]Cl and ChCl, was registered. Unlike LS-based composites comprising MWCNTs, those doped with graphene oxide (GO), reduced GO (rGO), and graphite (Gr) did not reveal the same electrical conductivity, even with loads up to 10% (w/w), in the polymer composite. This fact is associated, at least partially, with the different filler dispersion abilities within the polymeric matrix.
publisher MDPI
isbn 1996-1944
year published 2021
volume 14
issue 18
digital object identifier (doi) 10.3390/ma14185331
web of science category 20
subject category Chemistry, Physical; Materials Science, Multidisciplinary; Metallurgy & Metallurgical Engineering; Physics, Applied; Physics, Condensed Matter
unique article identifier WOS:000700773300001
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journal analysis (jcr 2019):
journal impact factor 3.057
5 year journal impact factor 3.424
category normalized journal impact factor percentile 58.121
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