SEM micrographs of 3D printed CB-PLA samples topography after microwave treatment - Open Research Data - Bridge of Knowledge

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SEM micrographs of 3D printed CB-PLA samples topography after microwave treatment

Description

This dataset contains the electrochemical studies on microwave-activated carbon-black doped polylactic acid 3D printed electrodes. 

All electrochemical measurements were performed with potentiostat/galvanostat, (M204 Metrohm Autolab, Utrecht, The Netherlands) equipped with FRA32M electrochemical-impedance spectroscopy module with Nova 2.15 software. The measurements were performed in a cell consisting of the three-electrode system: for 3D-printed CB-PLA electrode (diameter of 8 mm, measurement area of 0.564 cm2), and FSEC (11 mm × 11 mm × 2 mm, measurement area of 1.21 cm2), Ag/AgCl (0.1 M NaCl) reference electrode and platinum wire as a counter electrode. A 0.01 M phosphate buffer (pH 7.4) containing 1 mM K3[Fe(CN)6] and 1 mM K4[Fe(CN)6] was used as an electrolyte solution. The cyclic voltammetry (CV) was performed in a range from −1.0 V to 1.0 V with a scan rate of 0.1 V/s. The differential pulse voltammetry (DPV) was obtained in the potential range from −0.2 V to +0.7 V, applied pulse amplitude 50 mV, potential step 10 mV, modulation time 0.07 s, and interval time 1.85 s. The electrochemical impedance spectroscopy (EIS) measurements were carried out at a frequency range from 0.1 Hz to 10 kHz. Studies were carried out at open circuit potential after 5 min of sample conditioning with a perturbation amplitude of 10 mV. All impedance data were analyzed using ZSimpWin 3.21 impedance software with the appropriately fitted electrical equivalent circuit. All EIS spectra are presented in the Nyquist plot.

This is a part of the manuscript: https://www.mdpi.com/1996-1944/17/12/2833 

 

Dataset file

Electrochemical_microwave.zip
2.2 MB, S3 ETag 6f56f51c937f116ac23e5099e46aff6d-1, downloads: 28
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License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Raw data:
Data contained in dataset was not processed.

Details

Year of publication:
2024
Verification date:
2024-10-17
Dataset language:
English
Fields of science:
  • materials engineering (Engineering and Technology)
  • chemical sciences (Natural sciences)
DOI:
DOI ID 10.34808/f87t-kb76 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

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