Development of inert coatings to prevent drug retention in 3D-printed diffusion cells
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Farmacoloxía, Farmacia e Tecnoloxía Farmacéutica | es_ES |
| dc.contributor.author | Bendicho Lavilla, Carlos | |
| dc.contributor.author | Díaz Tomé, Victoria | |
| dc.contributor.author | Seoane Viaño, Iria | |
| dc.contributor.author | Luzardo Álvarez, Asteria María | |
| dc.contributor.author | Otero Espinar, Francisco Javier | |
| dc.date.accessioned | 2024-09-25T08:12:11Z | |
| dc.date.available | 2024-09-25T08:12:11Z | |
| dc.date.issued | 2024-05-23 | |
| dc.description.abstract | Diffusion cells play a crucial role in the pharmaceutical and cosmetic fields by assessing the release and permeation of active pharmaceutical ingredients across membranes. However, commercially available glass-based devices, such as Franz diffusion cells, are expensive and fragile. The emergence of three-dimensional (3D) printing technology enables the creation of diffusion cells with cost-effective polymeric materials and resins, offering exceptional precision and custom geometries. Nonetheless, there are challenges associated with interactions between 3D printing materials and drug molecules. This work aimed to develop inert coatings for 3D-printed diffusion models. Diffusion devices were designed and 3D-printed with a stereolithography (SLA) 3D printer, and different coatings were applied. Then, two model drugs were used to evaluate drug retention by coated devices. Among the tested coatings, one of them showed great potential in preventing drug retention and was selected for subsequent experiments with different drugs and conditions. Finally, voriconazole eyedrops were used to confirm the viability of 3D-printed Franz diffusion cells as a drug release diffusion model. The favourable results obtained with the coating promote the use of 3D printing as a cost-effective manufacturing technology, capable of producing diffusion cells tailored to specific study requirements | es_ES |
| dc.description.peerreviewed | SI | es_ES |
| dc.description.sponsorship | I.S.V. and V. D. T acknowledges Consellería de Cultura, Educación e Universidade for their Postdoctoral Fellowships (Xunta de Galicia, Spain; ED481B-2021-019 and ED481B-2023-092). Work supported by MICINN [PID2022- 142350OB-C21]. Authors would like to thank the use of RIAIDT-USC analytical facilities | es_ES |
| dc.identifier.citation | International Journal of Pharmaceutics 659 (2024) 124256 | es_ES |
| dc.identifier.doi | 10.1016/j.ijpharm.2024.124256 | |
| dc.identifier.essn | 1873-3476 | |
| dc.identifier.issn | 0378-5173 | |
| dc.identifier.uri | http://hdl.handle.net/10347/34869 | |
| dc.journal.title | International Journal of Pharmaceutics | |
| dc.language.iso | eng | es_ES |
| dc.page.initial | 124256 | |
| dc.publisher | Elsevier | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2022-142350OB-C21 | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1016/j.ijpharm.2024.124256 | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | |
| dc.rights | © 2024 The Author(s). Published by Elsevier B.V. This article is available under the Creative Commons CC-BY-NC-ND license | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Stereolithography (SLA) 3D printing | es_ES |
| dc.subject | Drug retention | es_ES |
| dc.subject | Franz diffusion cells | es_ES |
| dc.subject | In vitro release tests | es_ES |
| dc.subject | Inert coatings | es_ES |
| dc.title | Development of inert coatings to prevent drug retention in 3D-printed diffusion cells | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dc.volume.number | 659 | |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication | e1eb8f2f-9516-4a0f-8819-2cad31053b62 | |
| relation.isAuthorOfPublication.latestForDiscovery | 7ff1184c-8ad3-473d-9d9f-64370f24a9e4 |
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