Villapun Puzas, Victor Manuel, Carter, Luke N., Schröder, Christian, Colavita, Paula E., Hoey, David A., Webber, Mark A., Addison, Owen, Shepherd, Duncan E. T., Attallah, Moataz M., Grover, Liam M. and Cox, Sophie C. (2022) Surface free energy dominates the biological interactions of postprocessed additively manufactured Ti-6Al-4V. ACS Biomaterials Science and Engineering, 8 (10). pp. 4311-4326. ISSN 2373-9878
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Abstract
Additive manufacturing (AM) has emerged as a disruptive technique within healthcare because of its ability to provide personalized devices; however, printed metal parts still present surface and microstructural defects, which may compromise mechanical and biological interactions. This has made physical and/or chemical postprocessing techniques essential for metal AM devices, although limited fundamental knowledge is available on how alterations in physicochemical properties influence AM biological outcomes. For this purpose, herein, powder bed fusion Ti-6Al-4V samples were postprocessed with three industrially relevant techniques: polishing, passivation, and vibratory finishing. These surfaces were thoroughly characterized in terms of roughness, chemistry, wettability, surface free energy, and surface ζ-potential. A significant increase in Staphylococcus epidermidis colonization was observed on both polished and passivated samples, which was linked to high surface free energy donor γ-values in the acid-base, γABcomponent. Early osteoblast attachment and proliferation (24 h) were not influenced by these properties, although increased mineralization was observed for both these samples. In contrast, osteoblast differentiation on stainless steel was driven by a combination of roughness and chemistry. Collectively, this study highlights that surface free energy is a key driver between AM surfaces and cell interactions. In particular, while low acid-base components resulted in a desired reduction in S. epidermidis colonization, this was followed by reduced mineralization. Thus, while surface free energy can be used as a guide to AM device development, optimization of bacterial and mammalian cell interactions should be attained through a combination of different postprocessing techniques.
Item Type: | Article |
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Additional Information: | Funding Information: The current research is part of the Process Design to Prevent Prosthetic Infections (PREVENTION) and “Invisible Customisation─A Data Driven Approach to Predictive Additive Manufacture Enabling Functional Implant Personalisation” projects. The EPSRC (Grant codes EP/P02341X/1 and EP/V003356/1) and Science Foundation Ireland (Grant code SFI12/RC/2278 2) is acknowledged for financial support. |
Uncontrolled Keywords: | additive manufacturing,biological interactions,medical devices,physicochemical characterization,powder bed fusion,biomaterials,biomedical engineering ,/dk/atira/pure/subjectarea/asjc/2500/2502 |
Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 31 Oct 2024 11:30 |
Last Modified: | 31 Oct 2024 13:30 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/97365 |
DOI: | 10.1021/acsbiomaterials.2c00298 |
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