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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.36922/IJB025120094</dc:identifier><dc:language>eng</dc:language><dc:creator>Martín Compaired, Pablo</dc:creator><dc:creator>García-Gareta, Elena</dc:creator><dc:creator>Pérez, María Ángeles</dc:creator><dc:title>An experimental workflow for bioprinting optimization: Application to a custom-made biomaterial ink</dc:title><dc:identifier>ART-2025-144915</dc:identifier><dc:description>Bioprinting is an emerging technology with significant potential in biomedical fields, enabling the creation of highly customized, cell-laden constructs. Despite the promise, achieving high-quality, reproducible prints remains challenging due to the lack of standardized protocols, which has hindered widespread adoption of the technique. In this study, we present a systematic bioprinting protocol designed to optimize the performance of an in-house photo-curable biomaterial ink composed of gelatin methacryloyl (GelMA) and egg white protein. Printing quality was evaluated through three key assessments: extrusion, deposition, and printability. To facilitate accurate image analysis, we developed a custom 3D-printed lens support specifically designed for a USB-microscope. Additionally, we implemented a Python script to quantitatively assess bioprinting quality. Our results indicate that a pressure range of 70-80 KPa, combined with speeds between 300 and 900 mm/min, yields reliable extrusion flow, with 75 KPa and 600 mm/min emerging as optimal parameters for bioprinting 3D constructs. These findings underscore the importance of carefully tuning parameters &amp;amp;ndash; including pressure and speed &amp;amp;ndash; to achieve stable, high-resolution extrusions. Such optimization mitigates common printing issues, including tip clogging, filament dragging, and unintended merging of adjacent filaments, thereby enhancing structural accuracy. This work provides a comprehensive framework for evaluating and optimizing bioprinting parameters, offering a reproducible methodology to enhance print quality. Contributing to the ongoing efforts to standardize bioprinting processes and advance their applications in tissue engineering and regenerative medicine.</dc:description><dc:date>2025</dc:date><dc:source>http://zaguan.unizar.es/record/162307</dc:source><dc:doi>10.36922/IJB025120094</dc:doi><dc:identifier>http://zaguan.unizar.es/record/162307</dc:identifier><dc:identifier>oai:zaguan.unizar.es:162307</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/PID2023-146072OB-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/RYC2021-033490-I</dc:relation><dc:identifier.citation>International Journal of Bioprinting 11, 3 (2025), 397-415</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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