Development of Personalised Immediate-Release Gel-Based Formulations Using Semi-Solid Extrusion

Precision in dosing is crucial for optimizing therapeutic outcomes and preventing overdosing, especially in preterm infants. Traditional manual adjustments to adapt the dose often lead to inaccuracies, contamination risks, and reduced precision. To overcome these challenges, semi-solid extrusion 3D printing was used to create personalised gel-based caffeine dosage forms. The hydrogels, made from agar and hydroxypropyl methylcellulose, demonstrated excellent rheological properties, ensuring uniform extrusion and accurate shape retention during and after printing. This gel formulation allowed for precise adjustments of caffeine volume and content tailored to a neonate weighing 1.36 kg, achieving a recovery of 103.46%, well within acceptable limits. Additionally, three production batches confirmed the process's reproducibility with minimal variability. Forced degradation studies showed that both pure caffeine and caffeine in the gel matrix exhibited similar stability profiles, confirming the drug's chemical integrity. The printed gel dosage forms also displayed immediate-release characteristics, with over 80% of caffeine released within 45 min, highlighting their suitability for rapid therapeutic action. These findings emphasise the potential of SSE 3DP and gel-based formulations to produce personalised drug delivery systems with high precision, reproducibility, and reliability.

Authors

Institutions

Publication Details

Journal
Gels
Published
2024-10-17
DOI
https://doi.org/10.3390/gels10100665
Citations
6
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of Personalised Immediate-Release Gel-Based Formulations Using Semi-Solid Extrusion

Sylvie Bégu, Fabien Baillon, Martial Sauceau, Noelia M. Sanchez‐Ballester et al.
6 citations
Gels
3D Printing in Biomedical Research
1.11
article

Development of Personalised Immediate-Release Gel-Based Formulations Using Semi-Solid Extrusion

Sylvie Bégu, Fabien Baillon, Martial Sauceau, Noelia M. Sanchez‐Ballester, Ian Soulairol, Romain Sescousse, Morenikeji Aina
article en
6 citations

Abstract

Precision in dosing is crucial for optimizing therapeutic outcomes and preventing overdosing, especially in preterm infants. Traditional manual adjustments to adapt the dose often lead to inaccuracies, contamination risks, and reduced precision. To overcome these challenges, semi-solid extrusion 3D printing was used to create personalised gel-based caffeine dosage forms. The hydrogels, made from agar and hydroxypropyl methylcellulose, demonstrated excellent rheological properties, ensuring uniform extrusion and accurate shape retention during and after printing. This gel formulation allowed for precise adjustments of caffeine volume and content tailored to a neonate weighing 1.36 kg, achieving a recovery of 103.46%, well within acceptable limits. Additionally, three production batches confirmed the process's reproducibility with minimal variability. Forced degradation studies showed that both pure caffeine and caffeine in the gel matrix exhibited similar stability profiles, confirming the drug's chemical integrity. The printed gel dosage forms also displayed immediate-release characteristics, with over 80% of caffeine released within 45 min, highlighting their suitability for rapid therapeutic action. These findings emphasise the potential of SSE 3DP and gel-based formulations to produce personalised drug delivery systems with high precision, reproducibility, and reliability.

GelsVol. 10(10)
École Nationale Supérieure de Chimie de Montpellier (FR), Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), IMT Mines Albi (FR), Université de Nîmes (FR)
Agence Nationale de la Recherche, Région Occitanie Pyrénées-Méditerranée
Good health and well-being
Openalex Percentile: Top 24%
3D Printing in Biomedical Research
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.