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Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization
This review article dives into the complex world of biocompatibility testing: chemical, mechanical, and biological characterization, including many elements of biocompatibility, such as definitions, descriptive examples, and the practical settings. The focus extends to evaluating standard documents...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647244/ https://www.ncbi.nlm.nih.gov/pubmed/37959478 http://dx.doi.org/10.3390/ma16216881 |
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author | Al-Zyoud, Walid Haddadin, Dana Hasan, Sameer Ahmad Jaradat, Hussamaldeen Kanoun, Olfa |
author_facet | Al-Zyoud, Walid Haddadin, Dana Hasan, Sameer Ahmad Jaradat, Hussamaldeen Kanoun, Olfa |
author_sort | Al-Zyoud, Walid |
collection | PubMed |
description | This review article dives into the complex world of biocompatibility testing: chemical, mechanical, and biological characterization, including many elements of biocompatibility, such as definitions, descriptive examples, and the practical settings. The focus extends to evaluating standard documents obtained from reliable organizations; with a particular focus on open-source information, including FDA-USA, ISO 10933 series, and TÜV SÜD. We found a significant gap in this field: biomaterial scientists and those involved in the realm of medical device development in general, and implants in particular, lack access to a tool that reorganizes the process of selecting the appropriate biocompatibility test for the implant being examined. This work progressed through two key phases that aimed to provide a solution to this gap. A straightforward “yes or no” flowchart was initially developed to guide biocompatibility testing decisions based on the previously accumulated information. Subsequently, the Python code was employed, generating a framework through targeted questions. This work reshapes biocompatibility evaluation, bridging theory and practical implementation. An integrated approach via a flowchart and the Python code empowers stakeholders to navigate biocompatibility testing effortlessly. To conclude, researchers are now better equipped for a safer, more effective implant development, propelling the field towards improved patient care and innovative progress. |
format | Online Article Text |
id | pubmed-10647244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106472442023-10-26 Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization Al-Zyoud, Walid Haddadin, Dana Hasan, Sameer Ahmad Jaradat, Hussamaldeen Kanoun, Olfa Materials (Basel) Review This review article dives into the complex world of biocompatibility testing: chemical, mechanical, and biological characterization, including many elements of biocompatibility, such as definitions, descriptive examples, and the practical settings. The focus extends to evaluating standard documents obtained from reliable organizations; with a particular focus on open-source information, including FDA-USA, ISO 10933 series, and TÜV SÜD. We found a significant gap in this field: biomaterial scientists and those involved in the realm of medical device development in general, and implants in particular, lack access to a tool that reorganizes the process of selecting the appropriate biocompatibility test for the implant being examined. This work progressed through two key phases that aimed to provide a solution to this gap. A straightforward “yes or no” flowchart was initially developed to guide biocompatibility testing decisions based on the previously accumulated information. Subsequently, the Python code was employed, generating a framework through targeted questions. This work reshapes biocompatibility evaluation, bridging theory and practical implementation. An integrated approach via a flowchart and the Python code empowers stakeholders to navigate biocompatibility testing effortlessly. To conclude, researchers are now better equipped for a safer, more effective implant development, propelling the field towards improved patient care and innovative progress. MDPI 2023-10-26 /pmc/articles/PMC10647244/ /pubmed/37959478 http://dx.doi.org/10.3390/ma16216881 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Al-Zyoud, Walid Haddadin, Dana Hasan, Sameer Ahmad Jaradat, Hussamaldeen Kanoun, Olfa Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization |
title | Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization |
title_full | Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization |
title_fullStr | Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization |
title_full_unstemmed | Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization |
title_short | Biocompatibility Testing for Implants: A Novel Tool for Selection and Characterization |
title_sort | biocompatibility testing for implants: a novel tool for selection and characterization |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647244/ https://www.ncbi.nlm.nih.gov/pubmed/37959478 http://dx.doi.org/10.3390/ma16216881 |
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