Züger, Fabian and Marsano, Anna and Poggio, Martino and Gullo, Maurizio R.. (2022) Nanocomposites in 3D Bioprinting for Engineering Conductive and Stimuli-Responsive Constructs Mimicking Electrically Sensitive Tissue. Advanced NanoBiomed Research, 2 (2). p. 2100108.
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Official URL: https://edoc.unibas.ch/88675/
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Abstract
Rebuilding damaged or diseased tissue by means of biological additive manufacturing has recently gained lot of attention and shown very promising result. Using biofabrication techniques to mimic and replicate natural tissue as well as cell environment is a very capable way to achieve physiologically relevant conditions. Especially in electrophysiological human tissue like cardiac or neural tissue, proper signal transduction is of paramount importance for appropriate function and cell maturation as well as differentiation. Precisely, these conductive properties are challenging to engineer. However, a lot of outstanding work has been done recently. Therefore, this review focuses on additives, i.e., nanocomposites with intrinsic conductive properties, to the usually nonconductive hydrogels used in 3D-bioprinting. Recent work on exploiting the properties of these nanocomposites, such as metal nanoparticles (NPs), carbon nanotubes (CNTs), graphene, or MXenes, to alter the nanoenvironment of the manufactured construct toward conductive tissues is presented. An overview of responsiveness to external stimuli, a second intrinsic property of such nanocomposites is provided as well. Furthermore, these materials are critically analyzed concerning their electrophysiology, i.e., cell–scaffold interaction, their biocompatibility as well as their toxicological properties.
Faculties and Departments: | 05 Faculty of Science > Departement Physik > Physik > Nanotechnologie Argovia (Poggio) |
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UniBasel Contributors: | Poggio, Martino and Marsano, Anna |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Wiley |
e-ISSN: | 2699-9307 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Language: | English |
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edoc DOI: | |
Last Modified: | 11 Aug 2022 14:41 |
Deposited On: | 11 Aug 2022 14:41 |
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