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Updated: May 27, 2026

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Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization
Published on: December 25, 2017
Solid dispersions: a review on instability, improvement methods, and future development directions
Wenjuan Wang1, Yurong Lin1, Sheng Wang2
1School of Pharmacy, Anhui Medical University, Hefei, China.
Drug Development and Industrial Pharmacy
|May 26, 2026
Summary
Solid dispersions (SDs) enhance drug bioavailability but face stability issues. This review details instability causes and stabilization strategies for wider market use.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
Background:
- Solid dispersions (SDs) are crucial for improving the bioavailability of poorly water-soluble drugs.
- Physical instability remains a significant barrier to the broader market translation of SD technology.
Purpose of the Study:
- To systematically review the structural characteristics, release mechanisms, and stability challenges of SDs.
- To identify key determinants of physical instability and summarize emerging stabilization strategies.
- To compare various stabilization approaches for optimal application and limitations.
Main Methods:
- Literature review of generational evolution, structural features, and characterization techniques of SDs.
- Analysis of the spring-parachute dissolution mechanism.
- Identification of four major drivers of physical instability: preparation parameters, humidity, kinetics, and thermodynamics.
- Discussion of recent stabilization strategies: ternary SD systems, drug loading control, and in vivo performance enhancement.
- Summary of emerging physicochemical descriptors and predictive models for formulation design.
Main Results:
- Four primary drivers of physical instability in solid dispersions were identified.
- Recent advancements include ternary SD systems, controlled drug loading, and enhanced in vivo performance.
- Emerging physicochemical descriptors and predictive models aid in rational formulation design.
Conclusions:
- Broader translation of SD technology is hindered by stability, excipient screening, high-dose formulation, and predictive dissolution models.
- Future progress necessitates integration of formulation design, process engineering, and predictive modeling (multifunctional polymers, advanced manufacturing, AI).
- Establishing biorelevant evaluation systems and robust in vitro-in vivo correlation (IVIVC) models is essential for clinical application.
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