ArticlePharmaceutics2021
Predicting Drug Release from 3D Printed Oral Medicines Based on the Surface Area to Volume Ratio of Tablet Geometry.
Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Engineering and Characterisation of 3D-Printed Timolol Maleate Implants for Long-Acting Glaucoma Treatment.The AAPS journal · 2026Article
- Article
- Preparation and Optimization of Pramipexole Hydrochloride Solid Dispersions to Improve Drug Release and Bioavailability.AAPS PharmSciTech · 2025Article
- Use of Computational Intelligence in Customizing Drug Release from 3D-Printed Products: A Comprehensive Review.Pharmaceutics · 2025Review
- Revealing Three-Dimensional Printing Technology Advances for Oral Drug Delivery: Application to Central-Nervous-System-Related Diseases.Pharmaceutics · 2025Review
- Lignin as a Bioactive Additive in Chlorzoxazone-Loaded Pharmaceutical Tablets.Molecules (Basel, Switzerland) · 2025Article
- Spiked Systems for Colonic Drug Delivery: Architectural Opportunities and Quality Assurance of Selective Laser Sintering.ACS biomaterials science & engineering · 2025Article
- Sustained dual delivery of metronidazole and viable Lactobacillus crispatus from 3D-printed silicone shells.Biomaterials advances · 2024Article
- Article
- Geometry impact on fundamental properties of theophylline-containing SLS printed pharmaceutical tablets.Frontiers in drug delivery · 2024Article
- Impact of polymer chemistry on critical quality attributes of selective laser sintering 3D printed solid oral dosage forms.International journal of pharmaceutics: X · 2023Article
- Drop-on-powder 3D printing of amorphous high dose oral dosage forms: Process development, opportunities and printing limitations.International journal of pharmaceutics: X · 2023Article
- 3D printing of amorphous solid dispersions: A comparison of fused deposition modeling and drop-on-powder printing.International journal of pharmaceutics: X · 2023Article
- 3D printed matrix solid forms: Can the drug solubility and dose customisation affect their controlled release behaviour?International journal of pharmaceutics: X · 2023Article
- Additive manufacturing technologies with emphasis on stereolithography 3D printing in pharmaceutical and medical applications: A review.International journal of pharmaceutics: X · 2023Article
- Role of Polymer Concentration on the Release Rates of Proteins from Single- and Double-Network Hydrogels.International journal of molecular sciences · 2023Article
- A Bibliometric Analysis of 3D Printing in Personalized Medicine Research from 2012 to 2022.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Customizable 3D Printed Implants Containing Triamcinolone Acetonide: Development, Analysis, Modification, and Modeling of Drug Release.Pharmaceutics · 2023Article
- Review
- Tablet Geometry Effect on the Drug Release Profile from a Hydrogel-Based Drug Delivery System.Pharmaceutics · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
3D printing offers the advantage of being able to modify dosage form geometry, which can be exploited to modify release characteristics. In this study, we investigated the influence of the surface area to volume ratio (SA/V) to change and predict release profiles of 3D printed dosage forms. Geometries with varying SA/V and dosages were designed and printed, and drug dissolution was investigated. Three drug substances were used: pramipexole, levodopa (both BCS I) and praziquantel (BCS II). Two polymers were chosen as matrix formers: polyvinyl alcohol (water-soluble) and ethylene vinyl acetate (inert). Drug release was characterized using the mean dissolution time (MDT) and established equations that describe complete dissolution curves were applied. Predictions were validated with previously un-printed dosage forms. Based on an identified MDT-SA/V correlation, the MDT can be predicted with a deviation of ≤5 min for a given SA/V. Using correlations of fit parameters and SA/V, RMSEP values of 0.6-2.8% and 1.6-3.4% were obtained for the BCS I formulations and RMSEP values of 1.0-3.8% were obtained for the BCS II formulation, indicating accurate prediction over a wide range of dissolution profiles. With this approach, MDT and release profiles of dosage forms with a given SA/V can be precisely predicted without performing dissolution tests and vice versa, the required SA/V can be predicted for a desired release profile.
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Registered trials
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