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Published on: September 22, 2015
A flexible-dose dispenser for immediate and extended release 3D printed tablets
Katarzyna Pietrzak1, Abdullah Isreb2, Mohamed A Alhnan2
1School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, Lancashire, UK; Faculty of Pharmacy, Medical University of Lodz, Lodz, Poland.
This study introduces a 3D printing method combining Hot Melt Extrusion (HME) and Fused Deposition Modelling (FDM) for personalized medicine. This flexible tablet system offers accurate, digitally controlled dosing for immediate and extended release formulations.
Area of Science:
- Pharmaceutical Technology
- 3D Printing in Medicine
- Personalized Medicine
Background:
- Personalized medicine drives demand for adaptable pharmaceutical manufacturing.
- Existing methods struggle with precise digital dose control and flexibility.
- Need for reliable, fast, and accurate tablet production systems.
Purpose of the Study:
- To develop a flexible tablet system using 3D printing for personalized medicine.
- To integrate Hot Melt Extrusion (HME) with Fused Deposition Modelling (FDM) 3D printing.
- To achieve digitally controlled dosing with high accuracy and release profiles.
Main Methods:
- Developed a pharmaceutical filament using HME compatible with various polymers (Eudragit, HPC SSL).
- Utilized Fused Deposition Modelling (FDM) 3D printing for tablet fabrication.
- Employed computer software for digital dose control and validated with theophylline.
Main Results:
- Achieved dose accuracy between 91-95% through digitally controlled FDM 3D printing.
- Demonstrated compatibility with methacrylic and cellulose-based polymers.
- Confirmed theophylline remained in crystalline form with minimal impact on release and accuracy from higher resolution printing.
Conclusions:
- The HME-FDM 3D printing method offers a viable solution for personalized, digitally controlled tablet production.
- The system supports both immediate and extended release formulations with realistic drug loading.
- The technology shows significant potential for advancing individualized patient treatments.
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