Assessing texturometer-derived rheological data for predicting the printability of gummy formulations in SSE 3D printing

• Published in: International journal of pharmaceutics Vol. 662; p. 124471
• Main Authors: Aina, Morenikeji, Baillon, Fabien, Sescousse, Romain, Sanchez-Ballester, Noelia M., Begu, Sylvie, Soulairol, Ian, Sauceau, Martial
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 05.09.2024; Elsevier
• Subjects: Capillary rheometer; Chemical and Process Engineering; Engineering Sciences; Flow behaviour; Rheology; Rotational rheometer; Semi-solid extrusion; Texturometer; Texturometer; Rotational rheometer; Semi-solid extrusion; Flow behaviour; Rheology; Capillary rheometer
• ISSN: 0378-5173; 1873-3476; 1873-3476
• DOI: 10.1016/j.ijpharm.2024.124471

Semi-solid extrusion (SSE), an additive manufacturing technique, is gaining significant attention for the printing of thermosensitive drugs. Hydrogels, one of the materials used in SSE, have emerged as a focus in pharmaceutical applications due to their ability to control the release of therapeutic agents spatially and temporally. Understanding the non-Newtonian flow and evaluating the mechanical properties of hydrogel-based materials during extrusion is, however, essential for successful 3D printing. Thus, users often find themselves conducting both rheological and texture profile analyses to characterize the hydrogel. While texturometers are primarily used to evaluate mechanical or sensory properties, viscosity measurements are typically performed using rotational rheometers or viscometers. In this study, we demonstrated how comparable rheological information can be obtained using a texturometer as a capillary rheometer. By preparing similar formulations to a previous study, we compared the rheological data obtained from a rotational rheometer to the data obtained from the texturometer. The means of the parameters obtained by fitting the data from both techniques to the power law model showed insignificant differences. In addition, three clusters were formed based on the flow behaviour and printability of the samples using principal component analysis. Furthermore, the printability was predicted using the samples’ consistency and flow indexes, and the regression coefficient was 96.62 and 60.03% for capillary and rotational flow parameters, respectively. This approach thus holds the potential to streamline the time, expertise and equipment required for the rheological characterization of hydrogels for applications in semi-solid extrusion. [Display omitted]