Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model

Selective laser sintering (SLS) is a rapid prototyping technique for the production of three-dimensional objects through selectively sintering powder-based layer materials. The aim of the study was to investigate the effect of energy density (ED) and formulation factors on the printability and chara...

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Autores principales:	Marijana Madžarević, Đorđe Medarević, Stefan Pavlović, Branka Ivković, Jelena Đuriš, Svetlana Ibrić
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	printability laser speed energy density decision tree tailoring drug release Pharmacy and materia medica RS1-441
Acceso en línea:	https://doaj.org/article/cc2c71484a2a452db45e638e8f4cb048
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spelling	oai:doaj.org-article:cc2c71484a2a452db45e638e8f4cb0482021-11-25T18:42:30ZUnderstanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model10.3390/pharmaceutics131119691999-4923https://doaj.org/article/cc2c71484a2a452db45e638e8f4cb0482021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4923/13/11/1969https://doaj.org/toc/1999-4923Selective laser sintering (SLS) is a rapid prototyping technique for the production of three-dimensional objects through selectively sintering powder-based layer materials. The aim of the study was to investigate the effect of energy density (ED) and formulation factors on the printability and characteristics of SLS irbesartan tablets. The correlation between formulation factors, ED, and printability was obtained using a decision tree model with an accuracy of 80%. FT-IR results revealed that there was no interaction between irbesartan and the applied excipients. DSC results indicated that irbesartan was present in an amorphous form in printed tablets. ED had a significant influence on tablets’ physical, mechanical, and morphological characteristics. Adding lactose monohydrate enabled faster drug release while reducing the possibility for printing with different laser speeds. However, formulations with crospovidone were printable with a wider range of laser speeds. The adjustment of formulation and process parameters enabled the production of SLS tablets with hydroxypropyl methylcellulose with complete release in less than 30 min. The results suggest that a decision tree could be a useful tool for predicting the printability of pharmaceutical formulations. Tailoring the characteristics of SLS irbesartan tablets by ED is possible; however, it needs to be governed by the composition of the whole formulation.Marijana MadžarevićĐorđe MedarevićStefan PavlovićBranka IvkovićJelena ĐurišSvetlana IbrićMDPI AGarticleprintabilitylaser speedenergy densitydecision treetailoring drug releasePharmacy and materia medicaRS1-441ENPharmaceutics, Vol 13, Iss 1969, p 1969 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	printability laser speed energy density decision tree tailoring drug release Pharmacy and materia medica RS1-441
spellingShingle	printability laser speed energy density decision tree tailoring drug release Pharmacy and materia medica RS1-441 Marijana Madžarević Đorđe Medarević Stefan Pavlović Branka Ivković Jelena Đuriš Svetlana Ibrić Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model
description	Selective laser sintering (SLS) is a rapid prototyping technique for the production of three-dimensional objects through selectively sintering powder-based layer materials. The aim of the study was to investigate the effect of energy density (ED) and formulation factors on the printability and characteristics of SLS irbesartan tablets. The correlation between formulation factors, ED, and printability was obtained using a decision tree model with an accuracy of 80%. FT-IR results revealed that there was no interaction between irbesartan and the applied excipients. DSC results indicated that irbesartan was present in an amorphous form in printed tablets. ED had a significant influence on tablets’ physical, mechanical, and morphological characteristics. Adding lactose monohydrate enabled faster drug release while reducing the possibility for printing with different laser speeds. However, formulations with crospovidone were printable with a wider range of laser speeds. The adjustment of formulation and process parameters enabled the production of SLS tablets with hydroxypropyl methylcellulose with complete release in less than 30 min. The results suggest that a decision tree could be a useful tool for predicting the printability of pharmaceutical formulations. Tailoring the characteristics of SLS irbesartan tablets by ED is possible; however, it needs to be governed by the composition of the whole formulation.
format	article
author	Marijana Madžarević Đorđe Medarević Stefan Pavlović Branka Ivković Jelena Đuriš Svetlana Ibrić
author_facet	Marijana Madžarević Đorđe Medarević Stefan Pavlović Branka Ivković Jelena Đuriš Svetlana Ibrić
author_sort	Marijana Madžarević
title	Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model
title_short	Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model
title_full	Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model
title_fullStr	Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model
title_full_unstemmed	Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model
title_sort	understanding the effect of energy density and formulation factors on the printability and characteristics of sls irbesartan tablets—application of the decision tree model
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/cc2c71484a2a452db45e638e8f4cb048
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Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model

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