ArticlePharmaceutics2020
Personalised 3D Printed Medicines: Optimising Material Properties for Successful Passive Diffusion Loading of Filaments for Fused Deposition Modelling of Solid Dosage Forms.
Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- In Silico Predictions Driving the Development of 3D-Printed Drug Delivery Systems.Pharmaceutics · 2025Article
- Pharmaceutical Manufacturing with Additive Technology: A Key Driver of Industry 4.0 Integration.Recent advances in drug delivery and formulation · 2025Review
- Advances in Loading Techniques and Quality by Design for Fused Deposition Modeling in Pharmaceutical Production: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine.Pharmaceutics · 2024Review
- Advancements in Ocular Therapy: A Review of Emerging Drug Delivery Approaches and Pharmaceutical Technologies.Pharmaceutics · 2024Review
- 3D printing processes in precise drug delivery for personalized medicine.Biofabrication · 2024Review
- Review
- Optimization of Cobalt-Chromium (Co-Cr) Scaffolds for Bone Tissue Engineering in Endocrine, Metabolic and Immune Disorders.Endocrine, metabolic & immune disorders drug targets · 2024Review
- 3D Printing Technologies in Personalized Medicine, Nanomedicines, and Biopharmaceuticals.Pharmaceutics · 2023Review
- Drug Stability: ICH versus Accelerated Predictive Stability Studies.Pharmaceutics · 2022Review
- 3D Printed Fractal-like Structures with High Percentage of Drug for Zero-Order Colonic Release.Pharmaceutics · 2022Article
- Development and Validation of a Novel Tool for Assessing the Environmental Impact of 3D Printing Technologies: A Pharmaceutical Perspective.Pharmaceutics · 2022Article
- Development of Advanced 3D-Printed Solid Dosage Pediatric Formulations for HIV Treatment.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Coupling of Fused Deposition Modeling and Inkjet Printing to Produce Drug Loaded 3D Printed Tablets.Pharmaceutics · 2022Article
- Engineering 3D Printed Microfluidic Chips for the Fabrication of Nanomedicines.Pharmaceutics · 2021Article
- Understanding Direct Powder Extrusion for Fabrication of 3D Printed Personalised Medicines: A Case Study for Nifedipine Minitablets.Pharmaceutics · 2021Article
- 3D-Printed Oral Dosage Forms: Mechanical Properties, Computational Approaches and Applications.Pharmaceutics · 2021Review
- Personalised Tasted Masked Chewable 3D Printed Fruit-Chews for Paediatric Patients.Pharmaceutics · 2021Article
- Polyvinyl Alcohol-Based 3D Printed Tablets: Novel Insight into the Influence of Polymer Particle Size on Filament Preparation and Drug Release Performance.Pharmaceuticals (Basel, Switzerland) · 2021Article
- Supercritical Fluid Technology for the Development of 3D Printed Controlled Drug Release Dosage Forms.Pharmaceutics · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Although not readily accessible yet to many community and hospital pharmacists, fuse deposition modelling (FDM) is a 3D printing technique that can be used to create a 3D pharmaceutical dosage form by employing drug loaded filaments extruded via a nozzle, melted and deposited layer by layer. FDM requires printable filaments, which are commonly manufactured by hot melt extrusion, and identifying a suitable extrudable drug-excipient mixture can sometimes be challenging. We propose here the use of passive diffusion as an accessible loading method for filaments that can be printed using FDM technology to allow for the fabrication of oral personalised medicines in clinical settings. Utilising Hansen Solubility Parameters (HSP) and the concept of HSP distances (Ra) between drug, solvent, and filament, we have developed a facile pre-screening tool for the selection of the optimal combination that can provide a high drug loading (a high solvent-drug Ra, >10, and an intermediate solvent-filament Ra value, ~10). We have identified that other parameters such as surface roughness and stiffness also play a key role in enhancing passive diffusion of the drug into the filaments. A predictive model for drug loading was developed based on Support Vector Machine (SVM) regression and indicated a strong correlation between both Ra and filament stiffness and the diffusion capacity of a model BCS Class II drug, nifedipine (NFD), into the filaments. A drug loading, close to 3% w/w, was achieved. 3D printed tablets prepared using a PVA-derived filament (Hydrosupport, 3D Fuel) showed promising characteristics in terms of dissolution (with a sustained release over 24 h) and predicted chemical stability (>3 years at 25 °C/60% relative humidity), similar to commercially available NFD oral dosage forms. We believe FDM coupled with passive diffusion could be implemented easily in clinical settings for the manufacture of tailored personalised medicines, which can be stored over long periods of time (similar to industrially manufactured solid dosage forms).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.