Visualizing solvent mediated phase transformation behavior of carbamazepine polymorphs by principal component...

Area of Science:

• Pharmaceutical Science
• Chemical Engineering
• Spectroscopy

Background:

• Carbamazepine (CBZ) exists in multiple anhydrous forms, influencing its solid-state properties.
• Understanding hydrate formation is crucial for drug stability and bioavailability.
• Aqueous suspension studies are vital for characterizing drug phase transformations.

Purpose of the Study:

• To investigate hydrate formation processes of different carbamazepine (CBZ) anhydrous forms in aqueous suspension.
• To explore the capability of principal component analysis (PCA) in visualizing complex phase transformation data.
• To compare PCA visualization with partial least squares (PLS) modeling for quantifying transformation dynamics.

Main Methods:

• Dispersing different CBZ polymorphs in aqueous solution.
• Recovering and measuring dispersed CBZ polymorphs using FT-Raman spectroscopy.
• Applying principal component analysis (PCA) for data visualization and pattern identification.
• Utilizing partial least squares (PLS) modeling for quantitative analysis of phase transformation.

Main Results:

• PCA effectively visualizes the dynamics of phase transformation from CBZ polymorphs to the dihydrate (DH).
• PCA excels at presenting data differences and similarities, revealing underlying structures in large datasets.
• PCA directly identifies statistical patterns within the spectroscopic data, even for extensive datasets.
• PLS modeling provided a quantitative comparison to PCA's visualization approach.

Conclusions:

• PCA offers significant advantages for understanding carbamazepine hydrate formation in aqueous environments.
• PCA enhances insights into measured Raman spectra and the phase transformation process.
• The study highlights PCA's utility in simplifying and interpreting complex spectroscopic data for pharmaceutical research.