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Van Ombergen A, Chalupa-Gantner F, Chansoria P, Colosimo BM, Costantini M, Domingos M, Dufour A, De Maria C, Groll J, Jungst T, Levato R, Malda J, Margarita A, Marquette C, Ovsianikov A, Petiot E, Read S, Surdo L, Swieszkowski W, Vozzi G, Windisch J, Zenobi-Wong M, Gelinsky M. 3D Bioprinting in Microgravity: Opportunities, Challenges, and Possible Applications in Space. Adv Healthc Mater 2023; 12:e2300443. [PMID: 37353904 DOI: 10.1002/adhm.202300443] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/12/2023] [Indexed: 06/25/2023]
Abstract
3D bioprinting has developed tremendously in the last couple of years and enables the fabrication of simple, as well as complex, tissue models. The international space agencies have recognized the unique opportunities of these technologies for manufacturing cell and tissue models for basic research in space, in particular for investigating the effects of microgravity and cosmic radiation on different types of human tissues. In addition, bioprinting is capable of producing clinically applicable tissue grafts, and its implementation in space therefore can support the autonomous medical treatment options for astronauts in future long term and far-distant space missions. The article discusses opportunities but also challenges of operating different types of bioprinters under space conditions, mainly in microgravity. While some process steps, most of which involving the handling of liquids, are challenging under microgravity, this environment can help overcome problems such as cell sedimentation in low viscous bioinks. Hopefully, this publication will motivate more researchers to engage in the topic, with publicly available bioprinting opportunities becoming available at the International Space Station (ISS) in the imminent future.
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Affiliation(s)
- Angelique Van Ombergen
- SciSpacE Team, Directorate of Human and Robotic Exploration Programmes (HRE), European Space Agency (ESA), Keplerlaan 1, Noordwijk, 2201AG, The Netherlands
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
| | - Franziska Chalupa-Gantner
- Research Group 3D Printing and Biofabrication, Institute of Materials Science and Technology, Austrian Cluster for Tissue Regeneration, TU Wien, Getreidemarkt 9/E308, Vienna, 1060, Austria
| | - Parth Chansoria
- Tissue Engineering + Biofabrication Laboratory, Department of Health Sciences and Technology, ETH Zurich Otto-Stern-Weg 7, Zürich, 8093, Switzerland
| | - Bianca Maria Colosimo
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, Milano, 20156, Italy
| | - Marco Costantini
- Institute of Physical Chemistry, Polish Academy of Sciences, Ul. Kasprzaka 44/52, Warsaw, 01-224, Poland
| | - Marco Domingos
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Department of Mechanical, Aerospace and Civil Engineering, School of Engineering, Faculty of Science and Engineering & Henry Royce Institute, University of Manchester, M13 9PL, Manchester, UK
| | - Alexandre Dufour
- 3d.FAB - ICBMS, CNRS UMR 5246, University Claude Bernard-Lyon 1 and University of Lyon, 1 rue Victor Grignard, Villeurbanne, 69100, France
| | - Carmelo De Maria
- Department of Information Engineering (DII) and Research Center "E. Piaggio", University of Pisa, Largo Lucio Lazzarino 1, Pisa, 56122, Italy
| | - Jürgen Groll
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Department of Functional Materials in Medicine and Dentistry at the Institute of Functional Materials and Biofabrication (IFB) and Bavarian Polymer Institute (BPI), University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany
| | - Tomasz Jungst
- Department of Functional Materials in Medicine and Dentistry at the Institute of Functional Materials and Biofabrication (IFB) and Bavarian Polymer Institute (BPI), University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany
| | - Riccardo Levato
- Department of Orthopaedics, University Medical Center Utrecht, Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, 3584 CX, The Netherlands
| | - Jos Malda
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Department of Orthopaedics, University Medical Center Utrecht, Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, 3584 CX, The Netherlands
| | - Alessandro Margarita
- Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, Milano, 20156, Italy
| | - Christophe Marquette
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- 3d.FAB - ICBMS, CNRS UMR 5246, University Claude Bernard-Lyon 1 and University of Lyon, 1 rue Victor Grignard, Villeurbanne, 69100, France
| | - Aleksandr Ovsianikov
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Research Group 3D Printing and Biofabrication, Institute of Materials Science and Technology, Austrian Cluster for Tissue Regeneration, TU Wien, Getreidemarkt 9/E308, Vienna, 1060, Austria
| | - Emma Petiot
- 3d.FAB - ICBMS, CNRS UMR 5246, University Claude Bernard-Lyon 1 and University of Lyon, 1 rue Victor Grignard, Villeurbanne, 69100, France
| | - Sophia Read
- Department of Mechanical, Aerospace and Civil Engineering, School of Engineering, Faculty of Science and Engineering & Henry Royce Institute, University of Manchester, M13 9PL, Manchester, UK
| | - Leonardo Surdo
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Space Applications Services NV/SA for the European Space Agency (ESA), Keplerlaan 1, Noordwijk, 2201AG, The Netherlands
| | - Wojciech Swieszkowski
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Biomaterials Group, Materials Design Division, Faculty of Materials Science and Engineering, Warsaw University of Technology, Woloska Str. 141, Warsaw, 02-507, Poland
| | - Giovanni Vozzi
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Department of Information Engineering (DII) and Research Center "E. Piaggio", University of Pisa, Largo Lucio Lazzarino 1, Pisa, 56122, Italy
| | - Johannes Windisch
- Centre for Translational Bone, Joint and Soft Tissue Research, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Marcy Zenobi-Wong
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Tissue Engineering + Biofabrication Laboratory, Department of Health Sciences and Technology, ETH Zurich Otto-Stern-Weg 7, Zürich, 8093, Switzerland
| | - Michael Gelinsky
- ESA Topical Team on "3D Bioprinting of living tissue for utilization in space exploration and extraterrestrial human settlements", 01307, Dresden, Germany
- Centre for Translational Bone, Joint and Soft Tissue Research, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
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Zhang H, Moon SK. Reviews on Machine Learning Approaches for Process Optimization in Noncontact Direct Ink Writing. ACS APPLIED MATERIALS & INTERFACES 2021; 13:53323-53345. [PMID: 34042439 DOI: 10.1021/acsami.1c04544] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Recently, machine learning has gained considerable attention in noncontact direct ink writing because of its novel process modeling and optimization techniques. Unlike conventional fabrication approaches, noncontact direct ink writing is an emerging 3D printing technology for directly fabricating low-cost and customized device applications. Despite possessing many advantages, the achieved electrical performance of produced microelectronics is still limited by the printing quality of the noncontact ink writing process. Therefore, there has been increasing interest in the machine learning for process optimization in the noncontact direct ink writing. Compared with traditional approaches, despite machine learning-based strategies having great potential for efficient process optimization, they are still limited to optimize a specific aspect of the printing process in the noncontact direct ink writing. Therefore, a systematic process optimization approach that integrates the advantages of state-of-the-art machine learning techniques is in demand to fully optimize the overall printing quality. In this paper, we systematically discuss the printing principles, key influencing factors, and main limitations of the noncontact direct ink writing technologies based on inkjet printing (IJP) and aerosol jet printing (AJP). The requirements for process optimization of the noncontact direct ink writing are classified into four main aspects. Then, traditional methods and the state-of-the-art machine learning-based strategies adopted in IJP and AJP for process optimization are reviewed and compared with pros and cons. Finally, to further develop a systematic machine learning approach for the process optimization, we highlight the major limitations, challenges, and future directions of the current machine learning applications.
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Affiliation(s)
- Haining Zhang
- Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Seung Ki Moon
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
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Li K, Wang D, Yi S, Jia H, Qian J, Du Z, Ren T, Liang J, Martinez-Chapa SO, Madou M. Instrument for fine control of drop-on-demand electrohydrodynamic jet printing by current measurement. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2019; 90:115001. [PMID: 31779448 DOI: 10.1063/1.5090415] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Accepted: 10/15/2019] [Indexed: 06/10/2023]
Abstract
In this work, an instrument of drop-on-demand electrohydrodynamic jet (DoD E-Jet) printing device equipped with a current measurement and control system was designed and developed for finely controlling the printing process. The relationships between the current and printing parameters of voltage, frequency, and flow rate were deeply investigated, and the examination data and conclusion were obtained under the condition of the needle size remaining unchanged. Especially, the equation relationship between the flow rate and current was established, which can be used for the modification of the DoD E-Jet printing process. The map describing the stable printing range, droplet size, and current was also recognized, which can help us to select parameters for stable printing. Based on the current measurement and control system and the established relationship, the optimized current and printing parameters were chosen to print uniform graphene microstructures. This instrument provides an effective method for monitoring, adjusting, and controlling the DoD E-Jet printing process and further improving the quality of the printed structures for micro/nanoelectromechanical system (M/NEMS) devices.
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Affiliation(s)
- Kai Li
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Dazhi Wang
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Shanshan Yi
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Haoran Jia
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Jianghong Qian
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Zhiyuan Du
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Tongqun Ren
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Junsheng Liang
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China
| | - Sergio O Martinez-Chapa
- School of Engineering and Sciences, Tecnológico de Monterrey, Nuevo León, P.C. 64700, Mexico
| | - Marc Madou
- Department of Biomedical Engineering, Department of Mechanical and Aerospace Engineering, University of California Irvine, Irvine, California 92697, USA
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