Literature DB >> 31493496

Understanding the effects of formulation and process variables on the printlets quality manufactured by selective laser sintering 3D printing.

Sogra F Barakh Ali1, Eman M Mohamed2, Tanil Ozkan3, Mathew A Kuttolamadom4, Mansoor A Khan1, Amir Asadi4, Ziyaur Rahman5.   

Abstract

The focus of the study was to understand the effects of formulation and process variables on the printlets quality manufactured by selective laser sintering (SLS) 3D printing. The Box-Behnken response surface methodology was used to evaluate effects of individual variables and combinations thereof. The formulation and process variables studied were printing chamber temperature (°C, X1), laser scanning speed (mm/sec, X2) and lactose monohydrate concentration (%, X3). The responses studied were weight of printlets (mg, Y1), hardness (N, Y2), disintegration time (sec, Y3) and dissolved drug fraction in 15 min (%, Y4). The values of Y1, Y2, Y3 and Y4 varied from 170.2-257.0 mg, 5.5-32.0 N, 20-120 s and 64.4-97.5%, respectively. The studied factors showed statistically significant effects on the dependent variables (p < 0.04). The correlation coefficient between empirical and model predicted values for Y1, Y2, Y3 and Y4 were 0.999, 0.992, 0.998 and 0.983, respectively. The model was validated by an independent experiment and actual values of the responses were in close agreement with model predicted values. Fourier transformed infrared spectroscopy indicated no chemical interactions between the components of the formulation during printing process. X-ray powder diffractograms suggested a decrease in crystallinity of the drug and lactose in the printlets. Chemical images indicated uniform distribution of the drug. Scanning electron microscopy and X-ray micro-CT scanning showed a very porous microstructure of the printlets with a porosity of about 37.89%. In conclusion, the SLS method of manufacturing provides a feasible and flexible avenue for fabricating dosage forms with tailored characteristics.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D printing; Box-Behnken; Diclofenac sodium; Disintegration time; Dissolution; Selective laser sintering

Mesh:

Substances:

Year:  2019        PMID: 31493496     DOI: 10.1016/j.ijpharm.2019.118651

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  6 in total

1.  Very-Rapidly Dissolving Printlets of Isoniazid Manufactured by SLS 3D Printing: In Vitro and In Vivo Characterization.

Authors:  Tahir Khuroo; Eman M Mohamed; Sathish Dharani; Canberk Kayalar; Tanil Ozkan; Mathew A Kuttolamadom; Ziyaur Rahman; Mansoor A Khan
Journal:  Mol Pharm       Date:  2022-06-01       Impact factor: 5.364

Review 2.  The Evolution of the 3D-Printed Drug Delivery Systems: A Review.

Authors:  Ildikó Bácskay; Zoltán Ujhelyi; Pálma Fehér; Petra Arany
Journal:  Pharmaceutics       Date:  2022-06-21       Impact factor: 6.525

3.  Selective Laser Sintering 3D Printing of Orally Disintegrating Printlets Containing Ondansetron.

Authors:  Nour Allahham; Fabrizio Fina; Carmen Marcuta; Lilia Kraschew; Wolfgang Mohr; Simon Gaisford; Abdul W Basit; Alvaro Goyanes
Journal:  Pharmaceutics       Date:  2020-01-30       Impact factor: 6.321

4.  3D Printed Tablets (Printlets) with Braille and Moon Patterns for Visually Impaired Patients.

Authors:  Atheer Awad; Aliya Yao; Sarah J Trenfield; Alvaro Goyanes; Simon Gaisford; Abdul W Basit
Journal:  Pharmaceutics       Date:  2020-02-19       Impact factor: 6.321

5.  Customized Novel Design of 3D Printed Pregabalin Tablets for Intra-Gastric Floating and Controlled Release Using Fused Deposition Modeling.

Authors:  Shrawani Lamichhane; Jun-Bom Park; Dong Hwan Sohn; Sangkil Lee
Journal:  Pharmaceutics       Date:  2019-10-30       Impact factor: 6.321

6.  Prediction of Solid-State Form of SLS 3D Printed Medicines Using NIR and Raman Spectroscopy.

Authors:  Sarah J Trenfield; Patricija Januskaite; Alvaro Goyanes; David Wilsdon; Martin Rowland; Simon Gaisford; Abdul W Basit
Journal:  Pharmaceutics       Date:  2022-03-08       Impact factor: 6.321

  6 in total

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