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Characterization of Spray Dried Particles Through Microstructural Imaging
Hanmi Xi1, Aiden Zhu2, Gerard R Klinzing1
1Merck & Co., Inc., West Point, PA 19486, USA.
Spray drying creates amorphous solid dispersions (ASD) for drug delivery. Higher temperatures yield hollower particles, while lower temperatures produce thicker-walled, raisin-like particles, impacting drug performance.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Chemical Engineering
Background:
- Spray drying is a key technique for producing amorphous solid dispersions (ASD) to enhance the bioavailability of poorly water-soluble drugs.
- Understanding the microstructure of spray-dried (SD) particles is crucial for optimizing drug product performance.
Purpose of the Study:
- To investigate the impact of spray drying parameters on the microstructure of amorphous solid dispersions (ASD).
- To develop and apply an AI-facilitated imaging analysis tool for quantitative characterization of SD particles.
- To correlate particle microstructure with physical properties and performance.
Main Methods:
- Utilized focused ion beam-scanning electron microscopy (FIB-SEM) and X-ray microcomputed tomography (XRCT) for microstructure analysis.
- Developed an artificial intelligence (AI) tool for quantitative XRCT image analysis of thousands of SD particles.
- Measured particle size distribution, envelope density, and compact tensile strength.
Main Results:
- Higher spray drying outlet temperatures (Tout) resulted in more spherical, hollow particles with thinner walls.
- Lower Tout produced raisin-like particles with thicker walls.
- AI-facilitated XRCT analysis enabled quantitative assessment of particle attributes, with envelope density proving more sensitive to process changes than bulk/tap density.
- SD particle compact tensile strength correlated with wall thickness, suggesting deformation of thinner-walled particles contributes to interparticle contact.
Conclusions:
- Spray drying conditions significantly influence SD particle morphology and microstructure.
- AI-enhanced XRCT analysis provides a powerful tool for detailed particle characterization.
- Particle microstructure, particularly wall thickness, affects mechanical properties and can inform the design of drug products with improved performance and process robustness.
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