Correlating mechanical and rheological filament properties to processability and quality of 3D printed tablets using multiple linear regression

Kreft, Klemen (author), Lavrič, Zoran (author), Gradišar Centa, Urška (author), Mihelčič, Mohor (author), Slemenik Perše, Lidija (author), Dreu, Rok (author)

Filament formulation for FDM is a challenging and time-consuming process. Several pharmaceutical polymers are not feedable on their own. Due to inadequate filament formulation, 3D printed tablets can also exhibit poor uniformity of tablet attributes. To better understand filament formulation process, 23 filaments were prepared with the polymer mixing approach. To yield processable filaments, brittle and pliable polymers were combined. A 20 % addition of a pliable polymer to a brittle one resulted in filament processability and vice versa. Predictive statistical models for filament processability and uniformity of tablet attributes were established based on the mechanical and rheological properties of filaments. 15 input variables were correlated to 9 responses, which represent filament processability and tablet properties, by using multiple linear regression approach. Filament stiffness, assessed by indentation, and its square term were the only variables that determined the filament’s feedability. However, the resulting model is equipment-specific since different feeding mechanism exert different forces on the filaments. Additional models with good predictive power (R$^2$$ _pred$ > 0.50) were established for tablet width uniformity, drug release uniformity, tablet disintegration time uniformity and occurrence of disintegration, which are equipment-independent outputs. Therefore, the obtained model outcomes could be used in other research endeavours.

• Language: English
• Keywords: fused deposition modelling, personalized medicine, multiple linear regression, tablet quality attributes, correlation, 3D printing
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FFA - Faculty of Pharmacy; FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: 14 str.
• Numbering: Vol. 651, art. 123719
• PID: 20.500.12556/RUL-154070
• UDC: 661.12:61-027.552
• ISSN on article: 0378-5173
• DOI: 10.1016/j.ijpharm.2023.123719
• COBISS.SI-ID: 182047747
• Publication date in RUL: 23.01.2024

Record is a part of a journal

• Title: International journal of pharmaceutics
• Shortened title: Int. j. pharm.
• Publisher: Elsevier/North-Holland
• ISSN: 0378-5173
• COBISS.SI-ID: 3087631

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: modeliranje taljenega nanosa, personalizirana medicina, večkratna linearna regresija, atributi kakovosti tabličnega računalnika, korelacija, 3D tiskanje, farmacevtska tehnologija

Projects

• Funder: ARIS - Slovenian Research and Innovation Agency
• Project number: P1-0189
• Name: Farmacevtska tehnologija: od dostavnih sistemov učinkovin do terapijskih izidov zdravil pri otrocih in starostnikih