Título:	Predictive models of FDM 3D printing using experimental design based on pharmaceutical requirements for tablet production
Autor(es):	Pires, Felipe de Queiroz Silva, Ihatanderson Alves Pinho, Ludmila Alvim Gomes Chaker, Juliano Alexandre Barreto, Livia Cristina Lira de Sá Gelfuso, Guilherme Martins Gratieri, Taís Cunha Filho, Marcílio Sérgio Soares da
Assunto:	Impressão 3D Medicamentos Qualidade por design Triagem Otimização
Data de publicação:	15-Out-2020
Editora:	Elsevier B. V.
Referência:	PIRES, Felipe Q. et al. Predictive models of FDM 3D printing using experimental design based on pharmaceutical requirements for tablet production. International Journal of Pharmaceutics, v. 588, 119728, 15 out. 2020. DOI: https://doi.org/10.1016/j.ijpharm.2020.119728. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0378517320307122?via%3Dihub.
Abstract:	The present study aimed to analyze how the printing process affects the final state of a printed pharmaceutical product and to establish prediction models for post-printing characteristics according to basic printing settings. To do this, a database was constructed through analysis of products elaborated with a distinct printing framework. The polymers acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), and high-impact polystyrene (HIPS) were tested in a statistically-based experiment to define the most critical printing factors for mass, mass variation, printing time, and porosity. Then, a predictive model equation was established and challenged to determine two different medical prescriptions. The factors of size scale, printlet format, and print temperature influenced printlet mass, while the printing time was impacted by size scale, printing speed, and layer height. Finally, increased printing speed leads to more porous printlets. The prescript-printed tablets showed average mass, mass variations, and porosity close to theoretical values for all filaments, which supports the adequacy of the optimized design of experiments for tablet production. Hence, printing settings can be preselected according to the desired product’s characteristics, resulting in tablets produced with higher precision than usually achieved by compounding pharmacies.
DOI:	https://doi.org/10.1016/j.ijpharm.2020.119728
Versão da editora:	https://www.sciencedirect.com/science/article/abs/pii/S0378517320307122?via%3Dihub
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