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Force modulation and adaptability of 3D-Bioprinted biological actuators based on skeletal muscle tissue

Force modulation and adaptability of 3D-Bioprinted biological actuators based on skeletal muscle tissue
Force modulation and adaptability of 3D-Bioprinted biological actuators based on skeletal muscle tissue
The integration of biological systems into robotic devices might provide them with capabilities acquired from natural systems and significantly boost their performance. These abilities include real‐time bio‐sensing, self‐organization, adaptability, or self‐healing. As many muscle‐based bio‐hybrid robots and bio‐actuators arise in the literature, the question of whether these features can live up to their expectations becomes increasingly substantial. Herein, the force generation and adaptability of skeletal‐muscle‐based bio‐actuators undergoing long‐term training protocols are analyzed. The 3D‐bioprinting technique is used to fabricate bio‐actuators that are functional, responsive, and have highly aligned myotubes. The bio‐actuators are 3D‐bioprinted together with two artificial posts, allowing to use it as a force measuring platform. In addition, the force output evolution and dynamic gene expression of the bio‐actuators are studied to evaluate their degree of adaptability according to training protocols of different frequencies and mechanical stiffness, finding that their force generation could be modulated to different requirements. These results shed some light into the fundamental mechanisms behind the adaptability of muscle‐based bio‐actuators and highlight the potential of using 3D bioprinting as a rapid and cost‐effective tool for the fabrication of custom‐designed soft bio‐robots.
2365-709X
Mestre, R.
33721a01-ab1a-4f71-8b0e-abef8afc92f3
Patiño, T.
56f1dce1-2150-450d-bf96-e3061f21ba37
Barceló, X.
1066c9fb-2eb6-416d-a988-17f69532ca20
Anand, S.
22224dde-035e-4de6-bcb6-f99dd439f862
Pérez-Jiménez, A.
b98ee97d-af99-4ea5-b5f5-b37b2fe51869
Sánchez, S.
1ea254e6-1898-4061-aa34-f901e67ad467
Mestre, R.
33721a01-ab1a-4f71-8b0e-abef8afc92f3
Patiño, T.
56f1dce1-2150-450d-bf96-e3061f21ba37
Barceló, X.
1066c9fb-2eb6-416d-a988-17f69532ca20
Anand, S.
22224dde-035e-4de6-bcb6-f99dd439f862
Pérez-Jiménez, A.
b98ee97d-af99-4ea5-b5f5-b37b2fe51869
Sánchez, S.
1ea254e6-1898-4061-aa34-f901e67ad467

Mestre, R., Patiño, T., Barceló, X., Anand, S., Pérez-Jiménez, A. and Sánchez, S. (2019) Force modulation and adaptability of 3D-Bioprinted biological actuators based on skeletal muscle tissue. Advanced Materials Technologies. (doi:10.1002/admt.201800631).

Record type: Article

Abstract

The integration of biological systems into robotic devices might provide them with capabilities acquired from natural systems and significantly boost their performance. These abilities include real‐time bio‐sensing, self‐organization, adaptability, or self‐healing. As many muscle‐based bio‐hybrid robots and bio‐actuators arise in the literature, the question of whether these features can live up to their expectations becomes increasingly substantial. Herein, the force generation and adaptability of skeletal‐muscle‐based bio‐actuators undergoing long‐term training protocols are analyzed. The 3D‐bioprinting technique is used to fabricate bio‐actuators that are functional, responsive, and have highly aligned myotubes. The bio‐actuators are 3D‐bioprinted together with two artificial posts, allowing to use it as a force measuring platform. In addition, the force output evolution and dynamic gene expression of the bio‐actuators are studied to evaluate their degree of adaptability according to training protocols of different frequencies and mechanical stiffness, finding that their force generation could be modulated to different requirements. These results shed some light into the fundamental mechanisms behind the adaptability of muscle‐based bio‐actuators and highlight the potential of using 3D bioprinting as a rapid and cost‐effective tool for the fabrication of custom‐designed soft bio‐robots.

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More information

e-pub ahead of print date: 13 December 2018
Published date: 8 February 2019

Identifiers

Local EPrints ID: 446799
URI: http://eprints.soton.ac.uk/id/eprint/446799
ISSN: 2365-709X
PURE UUID: 018abaf2-9409-4c80-aca3-c38fe3ea7c04
ORCID for R. Mestre: ORCID iD orcid.org/0000-0002-2460-4234

Catalogue record

Date deposited: 23 Feb 2021 17:31
Last modified: 28 Apr 2022 02:32

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Contributors

Author: R. Mestre ORCID iD
Author: T. Patiño
Author: X. Barceló
Author: S. Anand
Author: A. Pérez-Jiménez
Author: S. Sánchez

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