Version 1
: Received: 1 June 2023 / Approved: 2 June 2023 / Online: 2 June 2023 (07:41:20 CEST)
How to cite:
Ozon, E.A.; Musuc, A.M.; Sarbu, I.; Popovici, V.; Pop, A.L.; Lupuliasa, D. Parametric Optimization in 3D Printed Tablets Using Statistical Methods of Experimental Design. Preprints2023, 2023060136. https://doi.org/10.20944/preprints202306.0136.v1
Ozon, E.A.; Musuc, A.M.; Sarbu, I.; Popovici, V.; Pop, A.L.; Lupuliasa, D. Parametric Optimization in 3D Printed Tablets Using Statistical Methods of Experimental Design. Preprints 2023, 2023060136. https://doi.org/10.20944/preprints202306.0136.v1
Ozon, E.A.; Musuc, A.M.; Sarbu, I.; Popovici, V.; Pop, A.L.; Lupuliasa, D. Parametric Optimization in 3D Printed Tablets Using Statistical Methods of Experimental Design. Preprints2023, 2023060136. https://doi.org/10.20944/preprints202306.0136.v1
APA Style
Ozon, E.A., Musuc, A.M., Sarbu, I., Popovici, V., Pop, A.L., & Lupuliasa, D. (2023). Parametric Optimization in 3D Printed Tablets Using Statistical Methods of Experimental Design. Preprints. https://doi.org/10.20944/preprints202306.0136.v1
Chicago/Turabian Style
Ozon, E.A., Anca Lucia Pop and Dumitru Lupuliasa. 2023 "Parametric Optimization in 3D Printed Tablets Using Statistical Methods of Experimental Design" Preprints. https://doi.org/10.20944/preprints202306.0136.v1
Abstract
Recently, 3D printing techniques gained much attention in solid dosage form production. Even though the methods are increasingly studied, there are still many challenges in establishing an accurate content of active ingredients in the final products. In the present study, new experimental design techniques and statistical software were developed to identify and optimize a formula to predict the mass of the tablet to be 3D printed before it actually is. The first step was to develop a virtual 3D object in the FreeCad Software, then, using a CURA slicer software, the G-code Format was obtained. The tablets were printed using a Cartesian 3D printer based on the generated data. Finally, adapting the object sequencing mode, a predicted drug mass value was obtained. As expected, the oblong tablet's scaling directly influences its mass. The software generates a correlation coefficient (r) of 0.84, confirming the directly proportional relationship between scaling and tablet weight. However, the r values progressively decreased, indicating a poor correlation between tablet weight and other factors: infill density percent (r = 0.403) and wall thickness (r = 0.185). After repeating the 3D printing with the values suggested by the software, tablets with a practical value of 1066 mg were obtained. Considering that the confidence interval calculated is [834.95—1165.05] and the experimental value is 1066 mg, it can be certified that the proposed model is valid.
Keywords
3D printing; oblong tablets; statistical methods; parametric optimization
Subject
Medicine and Pharmacology, Pharmacy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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