Advanced titanium implants: combating corrosion and infection with cutting-edge coatings
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Marijana R. Pantović Pavlović
, Senka Gudić
Abstract
The presented research investigates the corrosion behavior of commercially pure titanium (cp-Ti) and amorphous calcium phosphate–chitosan (ACP@ChOL) coatings enriched with selenium on titanium in simulated body fluid (SBF). Using potentiodynamic polarization techniques, it was sought to derive essential corrosion parameters – corrosion potential, corrosion current density, breakdown potential, and passivation current. This study pioneers a comparative analysis of the corrosion stability of both samples. SEM/EDS analysis of surfaces pre- and postpotentiodynamic measurements offered insights into morphology and elemental composition. The aim was to elucidate the corrosion mechanism by integrating these techniques. Additionally, spontaneous corrosion behavior over 7 days, monitoring changes in open circuit potential, polarization resistance, and impedance were investigated. Furthermore, the antimicrobial efficacy of ACP@ChOL enriched with Se on titanium was assessed against Escherichia coli, Staphylococcus aureus, and Candida albicans, as well as in vitro release of Se. The presented study extends understanding, offering a unique perspective on the corrosion behavior and antimicrobial attributes of ACP@ChOL coatings enriched with Se on titanium. This composite material exhibits promise for medical applications, presenting an innovative avenue for addressing corrosion concerns and potentially reducing antibiotic reliance.
Funding source: Ministry of Science, Technological Development and Innovation of the Republic of Serbia
Award Identifier / Grant number: 451-03-66/2024-03/200026
Award Identifier / Grant number: 451-03-66/2024-03/200175
Funding source: European Regional Development Fund
Award Identifier / Grant number: KK.01.1.1.02.0018
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Research ethics: Not applicable.
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Informed consent: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Author contributions: Marijana R. Pantović Pavlović: conceptualization, methodology, validation, investigation, data curation, writing – original draft preparation, writing – review and editing, supervision. Nenad L. Ignjatović: conceptualization, methodology, formal analysis, resources, writing – review and editing, supervision, funding acquisition. Senka Gudić: investigation, methodology, writing – original draft preparation, writing – review and editing. Ante Bilušić: investigation, methodology, formal analysis. Dragana Mladenović: investigation, methodology, data curation. Ladislav Vrsalović: investigation, methodology, resources, writing – original draft preparation, writing – review and editing, funding acquisition. Miroslav M. Pavlović: methodology, validation, formal analysis, resources, data curation, writing – original draft preparation, writing – review and editing, visualization, supervision, funding acquisition.
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Use of Large Language Models, AI and Machine Learning Tools: No Large Language Models, AI and Machine Learning Tools have been used in preparation of the manuscript.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: This work was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia (grant no. 451-03-66/2024-03/200026 and grant no. 451-03-66/2024-03/200175). The SEM/EDS analysis was made possible by the implementation of the project “Functional integration of the University of Split, PMF-ST, PFST AND KTFST through the development of scientific research infrastructure in the building of the three faculties” (KK.01.1.1.02.0018), funded by the European Commission through the European Regional Development Fund.
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Data availability: The raw data can be obtained on request from the corresponding author.
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