Literature DB >> 31858099

Comparison of activation processes for 3D printed PLA-graphene electrodes: electrochemical properties and application for sensing of dopamine.

Cristiane Kalinke1, Naile Vacilotto Neumsteir, Gabriel de Oliveira Aparecido, Thiago Vasconcelos de Barros Ferraz, Pãmyla Layene Dos Santos, Bruno Campos Janegitz, Juliano Alves Bonacin.   

Abstract

This paper reports the comparison of the electrochemical properties of 3D PLA-graphene electrodes (PLA-G) under different activation conditions and through different processes. In this work, the performance of the electrodes was evaluated after polishing, electrochemical and chemical treatments and a combination of them. The best results were obtained with hydroxide activation using 1.0 mol L-1 NaOH for 30 min of immersion, which promoted the saponification of PLA exposing the graphene nanoribbon structures. The improvement was more evident also after electrochemical activation, which led to a great increase in surface area, defects, electron transfer rate and amount of edge sites. The analytical performance of the proposed PLA-GNaOH-30-EC electrode was evaluated in the presence of dopamine (DA) by three electrochemical techniques, presenting a broad linear range, and limits of detection of 3.49, 2.17 and 1.67 μmol L-1 were obtained by cyclic voltammetry (CV), differential pulse voltammetry (DPV) and square wave voltammetry (SWV), respectively. The separation and quantification of DA in the presence of AA and UA was also reported. The sensor showed good repeatability and reproducibility and was successfully applied to DA determination in synthetic urine and human serum, showing good recovery, from 88.8 to 98.4%. Therefore, the activation methods were essential for the improvement in the 3D PLA-G electrode properties, allowing graphene surface alteration and electrochemical enhancement in the sensing of molecular targets.

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Year:  2020        PMID: 31858099     DOI: 10.1039/c9an01926j

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  7 in total

1.  Additively manufactured carbon/black-integrated polylactic acid 3Dprintedsensor for simultaneous quantification of uric acid and zinc in sweat.

Authors:  Vanessa N Ataide; Diego P Rocha; Abner de Siervo; Thiago R L C Paixão; Rodrigo A A Muñoz; Lucio Angnes
Journal:  Mikrochim Acta       Date:  2021-10-19       Impact factor: 5.833

2.  Applicability of Selected 3D Printing Materials in Electrochemistry.

Authors:  Marta Choińska; Vojtěch Hrdlička; Hana Dejmková; Jan Fischer; Luděk Míka; Eva Vaněčková; Viliam Kolivoška; Tomáš Navrátil
Journal:  Biosensors (Basel)       Date:  2022-05-07

Review 3.  Recent progress of conductive 3D-printed electrodes based upon polymers/carbon nanomaterials using a fused deposition modelling (FDM) method as emerging electrochemical sensing devices.

Authors:  Muhamad Huzaifah Omar; Khairunisak Abdul Razak; Mohd Nadhir Ab Wahab; Hairul Hisham Hamzah
Journal:  RSC Adv       Date:  2021-05-06       Impact factor: 4.036

4.  New conductive filament ready-to-use for 3D-printing electrochemical (bio)sensors: Towards the detection of SARS-CoV-2.

Authors:  Jéssica Santos Stefano; Luiz Ricardo Guterres E Silva; Raquel Gomes Rocha; Laís Canniatti Brazaca; Eduardo Mathias Richter; Rodrigo Alejandro Abarza Muñoz; Bruno Campos Janegitz
Journal:  Anal Chim Acta       Date:  2021-12-11       Impact factor: 6.911

5.  Conductive printable electrodes tuned by boron-doped nanodiamond foil additives for nitroexplosive detection.

Authors:  Anna Dettlaff; Michał Rycewicz; Mateusz Ficek; Aleksandra Wieloszyńska; Mateusz Szala; Jacek Ryl; Robert Bogdanowicz
Journal:  Mikrochim Acta       Date:  2022-07-05       Impact factor: 6.408

6.  Piezoresistive Properties of 3D-Printed Polylactic Acid (PLA) Nanocomposites.

Authors:  Razieh Hashemi Sanatgar; Aurélie Cayla; Jinping Guan; Guoqiang Chen; Vincent Nierstrasz; Christine Campagne
Journal:  Polymers (Basel)       Date:  2022-07-22       Impact factor: 4.967

Review 7.  3D-Printed Immunosensor Arrays for Cancer Diagnostics.

Authors:  Mohamed Sharafeldin; Karteek Kadimisetty; Ketki S Bhalerao; Tianqi Chen; James F Rusling
Journal:  Sensors (Basel)       Date:  2020-08-12       Impact factor: 3.576

  7 in total

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