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Related Experiment Video

Updated: Jun 9, 2026

Combining Solid-state and Solution-based Techniques: Synthesis and Reactivity of Chalcogenidoplumbates(II or IV)

Combining Solid-state and Solution-based Techniques: Synthesis and Reactivity of Chalcogenidoplumbates(II or IV)

Published on: December 29, 2016

Evaluation of predictive models for stable solid solution formation.

Jessica Albers¹, Karin Matthée, Klaus Knop

¹Institute of Pharmaceutics and Biopharmaceutics, Heinrich-Heine-University, Duesseldorf, Germany.

Journal of Pharmaceutical Sciences

|August 31, 2010

Summary

This summary is machine-generated.

Predicting drug and carrier miscibility for stable solid solutions is crucial. Combining chemical structure analysis, X-ray diffraction, and melting point depression offers a successful screening approach, with differential scanning calorimetry showing the highest impact.

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Area of Science:

Pharmaceutical Sciences
Materials Science
Physical Chemistry

Background:

Solid solutions are critical for improving drug bioavailability and stability.
Predicting miscibility between active pharmaceutical ingredients (APIs) and excipients is essential for formulation development.
Current methods for miscibility screening can be time-consuming and resource-intensive.

Purpose of the Study:

To evaluate existing predictive models for stable solid solution formation.
To identify a rapid and effective strategy for miscibility screening of drug-excipient systems.
To determine the most impactful analytical techniques for predicting drug-carrier miscibility.

Main Methods:

Analysis of chemical structures.
X-ray powder diffraction (XRPD) for crystallinity assessment.
Differential scanning calorimetry (DSC) for melting point depression and enthalpy determination.
Melting point depression analysis.

Main Results:

Chemical structure interpretation, XRPD, and melting point depression are valuable for predicting drug-carrier miscibility.
A combined approach using multiple prediction tools is highly effective, as no single method provides complete information.
Differential scanning calorimetry (DSC) evaluation of melting behavior demonstrated the most significant impact on miscibility prediction.

Conclusions:

Integrated analytical methods provide a robust framework for predicting solid solution formation.
Differential scanning calorimetry is a key technique for efficient and accurate miscibility assessment in pharmaceutical formulations.
This study offers a streamlined approach for selecting appropriate carriers for drug development, enhancing formulation success.