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New carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling

The development of a homemade carbon black composite filament with polylactic acid (CB-PLA) is reported. Optimized filaments containing 28.5% wt. of carbon black were obtained and employed in the 3D printing of improved electrochemical sensors by fused deposition modeling (FDM) technique. The fabric...

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Autores principales: Stefano, Jéssica Santos, Silva, Luiz Ricardo Guterres e, Janegitz, Bruno Campos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550156/
https://www.ncbi.nlm.nih.gov/pubmed/36217039
http://dx.doi.org/10.1007/s00604-022-05511-2
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author Stefano, Jéssica Santos
Silva, Luiz Ricardo Guterres e
Janegitz, Bruno Campos
author_facet Stefano, Jéssica Santos
Silva, Luiz Ricardo Guterres e
Janegitz, Bruno Campos
author_sort Stefano, Jéssica Santos
collection PubMed
description The development of a homemade carbon black composite filament with polylactic acid (CB-PLA) is reported. Optimized filaments containing 28.5% wt. of carbon black were obtained and employed in the 3D printing of improved electrochemical sensors by fused deposition modeling (FDM) technique. The fabricated filaments were used to construct a simple electrochemical system, which was explored for detecting catechol and hydroquinone in water samples and detecting hydrogen peroxide in milk. The determination of catechol and hydroquinone was successfully performed by differential pulse voltammetry, presenting LOD values of 0.02 and 0.22 µmol L(−1), respectively, and recovery values ranging from 91.1 to 112% in tap water. Furthermore, the modification of CB-PLA electrodes with Prussian blue allowed the non-enzymatic amperometric detection of hydrogen peroxide at 0.0 V (vs. carbon black reference electrode) in milk samples, with a linear range between 5.0 and 350.0 mol L(−1) and low limit of detection (1.03 µmol L(−1)). Thus, CB-PLA can be successfully applied as additively manufactured electrochemical sensors, and the easy filament manufacturing process allows for its exploration in a diversity of applications. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00604-022-05511-2.
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spelling pubmed-95501562022-10-11 New carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling Stefano, Jéssica Santos Silva, Luiz Ricardo Guterres e Janegitz, Bruno Campos Mikrochim Acta Original Paper The development of a homemade carbon black composite filament with polylactic acid (CB-PLA) is reported. Optimized filaments containing 28.5% wt. of carbon black were obtained and employed in the 3D printing of improved electrochemical sensors by fused deposition modeling (FDM) technique. The fabricated filaments were used to construct a simple electrochemical system, which was explored for detecting catechol and hydroquinone in water samples and detecting hydrogen peroxide in milk. The determination of catechol and hydroquinone was successfully performed by differential pulse voltammetry, presenting LOD values of 0.02 and 0.22 µmol L(−1), respectively, and recovery values ranging from 91.1 to 112% in tap water. Furthermore, the modification of CB-PLA electrodes with Prussian blue allowed the non-enzymatic amperometric detection of hydrogen peroxide at 0.0 V (vs. carbon black reference electrode) in milk samples, with a linear range between 5.0 and 350.0 mol L(−1) and low limit of detection (1.03 µmol L(−1)). Thus, CB-PLA can be successfully applied as additively manufactured electrochemical sensors, and the easy filament manufacturing process allows for its exploration in a diversity of applications. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00604-022-05511-2. Springer Vienna 2022-10-10 2022 /pmc/articles/PMC9550156/ /pubmed/36217039 http://dx.doi.org/10.1007/s00604-022-05511-2 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Stefano, Jéssica Santos
Silva, Luiz Ricardo Guterres e
Janegitz, Bruno Campos
New carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling
title New carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling
title_full New carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling
title_fullStr New carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling
title_full_unstemmed New carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling
title_short New carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling
title_sort new carbon black-based conductive filaments for the additive manufacture of improved electrochemical sensors by fused deposition modeling
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550156/
https://www.ncbi.nlm.nih.gov/pubmed/36217039
http://dx.doi.org/10.1007/s00604-022-05511-2
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