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Rheological Properties and Process Temperature Prediction for the Hot Melt Extrusion of Artesunate with
Fabio Moyses Lins Dantas1, Maria Helena Miguez da Rocha-Leão2, Daniel Lins de Sales2
1Laboratory of Powder Technology, Instituto Nacional de Tecnologia, 82 Venezuela Av., ZIP, Rio de Janeiro, RJ, 20081-312, Brazil. fabio.dantas@int.gov.br.
AAPS Pharmscitech
|November 26, 2025
Summary
Dynamic rheological studies help determine optimal Hot-Melt Extrusion (HME) conditions for preparing Amorphous Solid Dispersions (ASD). Finding the mixture
Area of Science:
- Pharmaceutical Science
- Materials Science
- Chemical Engineering
Background:
- Active Pharmaceutical Ingredients (APIs) often exhibit poor water solubility, necessitating advanced formulation strategies.
- Hot-Melt Extrusion (HME) is a key technique for creating Amorphous Solid Dispersions (ASDs) to enhance API bioavailability.
- Processability and temperature control are critical for successful HME of API-polymer blends.
Purpose of the Study:
- To establish optimal Hot-Melt Extrusion (HME) conditions for Artesunate (AS) based Amorphous Solid Dispersions (ASDs).
- To investigate the utility of dynamic rheological studies in predicting HME processability.
- To correlate rheological properties with thermal and structural characteristics of the ASDs.
Main Methods:
- Dynamic rheological studies to determine the Soft Point of Mixture (SPM) and Initial Fusion Plateau Temperature (IFPT).
- Hot-Melt Extrusion (HME) of Artesunate (AS), Soluplus®, and Span®20 blends.
- Characterization using Thermogravimetric Analysis (TGA), Differential Scanning Calorimetry (DSC), X-ray Diffraction (XRD), and Scanning Electron Microscopy (SEM).
Main Results:
- Rheological parameters, specifically the SPM, effectively predicted suitable HME temperature profiles.
- Successful preparation of ASDs with enhanced properties was achieved by optimizing extrusion conditions based on rheology.
- Correlation established between rheological behavior and thermal/structural properties analyzed by TGA, DSC, XRD, and SEM.
Conclusions:
- Dynamic rheology is a powerful and efficient tool for determining optimal HME parameters for ASD formulation.
- Utilizing rheological data simplifies the process of setting appropriate temperature profiles for HME.
- This approach facilitates faster and more effective development of high-performance ASDs for poorly soluble APIs.

