AFM investigation of electrode fabricated by 3D printing - Open Research Data - Bridge of Knowledge

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AFM investigation of electrode fabricated by 3D printing

Description

3D printing, also known as additive manufacturing, has enjoyed great interest in recent years due to the versatility of this method of producing various shapes and details. Due to the possibility of precise control of the shape and composition of the printed elements, the discussed technique can be widely used in electrochemistry, including electrochemical sensing [1]. Electrodes made of carbon-doped polylactide are cheap to produce, therefore they can form the basis of widely available electrochemical sensors with a wide range of applications. The condition for reliable operation of such an element is the correct electrochemical activation of its surface. The degree of electrochemical activation can be monitored on the surface of the finished product by electrochemical microscopy, or indirectly by using scanning scattering resistance microscopy [2]. The described set includes the results of the resistive scanning made with this variant of the atomic force microscope. The collection contains 16 maps relating to the topography and local conductivity of an electrode made by 3D printing from polylactide with the addition of carbon. Measurements were made in contact mode using a CDT-NCHR probe.

[1]       C. Kalinke, N.V. Neumsteir, G.D.O. Aparecido, T.V.D.B. Ferraz, P.L. Dos Santos, B.C. Janegitz, J.A. Bonacin, Comparison of activation processes for 3D printed PLA-graphene electrodes: Electrochemical properties and application for sensing of dopamine, Analyst. 145 (2020) 1207–1218. doi:10.1039/c9an01926j.

[2]       P. Eyben, T. Janssens, W. Vandervorst, Scanning spreading resistance microscopy (SSRM) 2d carrier profiling for ultra-shallow junction characterization in deep-submicron technologies, Mater. Sci. Eng. B Solid-State Mater. Adv. Technol. 124–125 (2005) 45–53. doi:10.1016/j.mseb.2005.08.049.

Dataset file

set04.mdt
1.9 MB, S3 ETag 2aba87cb433977049c9befa66a2e6943-1, downloads: 6
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File details

License:
Creative Commons: by-nc 4.0 open in new tab
CC BY-NC
Non-commercial
Raw data:
Data contained in dataset was not processed.
Software:
Gwyddion

Details

Year of publication:
2021
Verification date:
2021-05-28
Dataset language:
English
Fields of science:
  • chemical sciences (Natural sciences)
DOI:
DOI ID 10.34808/56gf-9a82 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

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