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A case study on decentralized manufacturing of 3D printed medicines

Pharmaceutical 3D printing (3DP) is one of the emerging enabling technologies of personalised medicines as it affords the ability to fabricate highly versatile dosage forms. In the past 2 years, national medicines regulatory authorities have held consultations with external stakeholders to adapt reg...

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Autores principales: Seoane-Viaño, Iria, Xu, Xiaoyan, Ong, Jun Jie, Teyeb, Ahmed, Gaisford, Simon, Campos-Álvarez, André, Stulz, Anja, Marcuta, Carmen, Kraschew, Lilia, Mohr, Wolfgang, Basit, Abdul W., Goyanes, Alvaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314212/
https://www.ncbi.nlm.nih.gov/pubmed/37396623
http://dx.doi.org/10.1016/j.ijpx.2023.100184
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author Seoane-Viaño, Iria
Xu, Xiaoyan
Ong, Jun Jie
Teyeb, Ahmed
Gaisford, Simon
Campos-Álvarez, André
Stulz, Anja
Marcuta, Carmen
Kraschew, Lilia
Mohr, Wolfgang
Basit, Abdul W.
Goyanes, Alvaro
author_facet Seoane-Viaño, Iria
Xu, Xiaoyan
Ong, Jun Jie
Teyeb, Ahmed
Gaisford, Simon
Campos-Álvarez, André
Stulz, Anja
Marcuta, Carmen
Kraschew, Lilia
Mohr, Wolfgang
Basit, Abdul W.
Goyanes, Alvaro
author_sort Seoane-Viaño, Iria
collection PubMed
description Pharmaceutical 3D printing (3DP) is one of the emerging enabling technologies of personalised medicines as it affords the ability to fabricate highly versatile dosage forms. In the past 2 years, national medicines regulatory authorities have held consultations with external stakeholders to adapt regulatory frameworks to embrace point-of-care manufacturing. The proposed concept of decentralized manufacturing (DM) involves the provision of feedstock intermediates (pharma-inks) prepared by pharmaceutical companies to DM sites for manufacturing into the final medicine. In this study, we examine the feasibility of this model, with respect to both manufacturing and quality control. Efavirenz-loaded granulates (0–35%w/w) were produced by a manufacturing partner and shipped to a 3DP site in a different country. Direct powder extrusion (DPE) 3DP was subsequently used to prepare printlets (3D printed tablets), with mass ranging 266–371 mg. All printlets released more than 80% drug load within the first 60 min of the in vitro drug release test. An in-line near-infrared spectroscopy system was used as a process analytical technology (PAT) to quantify the printlets' drug load. Calibration models were developed using partial least squares regression, which showed excellent linearity (R(2) = 0.9833) and accuracy (RMSE = 1.0662). Overall, this work is the first to report the use of an in-line NIR system to perform real-time analysis of printlets prepared using pharma-inks produced by a pharmaceutical company. By demonstrating the feasibility of the proposed distribution model through this proof-of-concept study, this work paves the way for investigation of further PAT tools for quality control in 3DP point-of-care manufacturing.
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spelling pubmed-103142122023-07-02 A case study on decentralized manufacturing of 3D printed medicines Seoane-Viaño, Iria Xu, Xiaoyan Ong, Jun Jie Teyeb, Ahmed Gaisford, Simon Campos-Álvarez, André Stulz, Anja Marcuta, Carmen Kraschew, Lilia Mohr, Wolfgang Basit, Abdul W. Goyanes, Alvaro Int J Pharm X Research Paper Pharmaceutical 3D printing (3DP) is one of the emerging enabling technologies of personalised medicines as it affords the ability to fabricate highly versatile dosage forms. In the past 2 years, national medicines regulatory authorities have held consultations with external stakeholders to adapt regulatory frameworks to embrace point-of-care manufacturing. The proposed concept of decentralized manufacturing (DM) involves the provision of feedstock intermediates (pharma-inks) prepared by pharmaceutical companies to DM sites for manufacturing into the final medicine. In this study, we examine the feasibility of this model, with respect to both manufacturing and quality control. Efavirenz-loaded granulates (0–35%w/w) were produced by a manufacturing partner and shipped to a 3DP site in a different country. Direct powder extrusion (DPE) 3DP was subsequently used to prepare printlets (3D printed tablets), with mass ranging 266–371 mg. All printlets released more than 80% drug load within the first 60 min of the in vitro drug release test. An in-line near-infrared spectroscopy system was used as a process analytical technology (PAT) to quantify the printlets' drug load. Calibration models were developed using partial least squares regression, which showed excellent linearity (R(2) = 0.9833) and accuracy (RMSE = 1.0662). Overall, this work is the first to report the use of an in-line NIR system to perform real-time analysis of printlets prepared using pharma-inks produced by a pharmaceutical company. By demonstrating the feasibility of the proposed distribution model through this proof-of-concept study, this work paves the way for investigation of further PAT tools for quality control in 3DP point-of-care manufacturing. Elsevier 2023-05-30 /pmc/articles/PMC10314212/ /pubmed/37396623 http://dx.doi.org/10.1016/j.ijpx.2023.100184 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Seoane-Viaño, Iria
Xu, Xiaoyan
Ong, Jun Jie
Teyeb, Ahmed
Gaisford, Simon
Campos-Álvarez, André
Stulz, Anja
Marcuta, Carmen
Kraschew, Lilia
Mohr, Wolfgang
Basit, Abdul W.
Goyanes, Alvaro
A case study on decentralized manufacturing of 3D printed medicines
title A case study on decentralized manufacturing of 3D printed medicines
title_full A case study on decentralized manufacturing of 3D printed medicines
title_fullStr A case study on decentralized manufacturing of 3D printed medicines
title_full_unstemmed A case study on decentralized manufacturing of 3D printed medicines
title_short A case study on decentralized manufacturing of 3D printed medicines
title_sort case study on decentralized manufacturing of 3d printed medicines
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314212/
https://www.ncbi.nlm.nih.gov/pubmed/37396623
http://dx.doi.org/10.1016/j.ijpx.2023.100184
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