4.6 Article

Lean Raman Imaging for Rapid Assessment of Homogeneity in Pharmaceutical Formulations

Journal

APPLIED SPECTROSCOPY
Volume 64, Issue 4, Pages 442-447

Publisher

SOC APPLIED SPECTROSCOPY
DOI: 10.1366/000370210791114239

Keywords

Imaging; Raman; Pharmaceutical; Formulation; Lean; Homogeneity

Ask authors/readers for more resources

Solid dispersion formulations and drug in polymer matrices are increasingly being used by the pharmaceutical industry to enhance the solubility, or bio-availability, of active pharmaceutical ingredients (APIs). The degree of solubility: or bio-availability enhancement, as well as properties such as chemical stability and physical characteristics, will be dependent on the homogeneity of the drug in polymer matrix. The use of Raman spectroscopy to assess homogeneity has traditionally been limited by the time required to acquire images from a statistically representative sample area. This may be overcome by employing a more rapid one-dimensional Raman line-mapping approach and using a statistical analysis to extract the critical information. This approach has been termed lean Raman imaging and allows a large area of sample to be probed in a relatively short space of time. This paper discusses the use of lean Raman imaging to assess two performance-indicating parameters of a drug in polymer formulation, sedimentation of the API within a capsule formulation and phase separation of the individual components. The development of a screening method, using Raman line mapping to allow rapid measurement of sedimentation of the API, is discussed. This method requires less than half an hour per capsule for data collection and processing. In addition, the development of a lean Raman mapping technique, using single line scans to assess drug and polymer domain sizes, is detailed. This technique employs a simple peak ratio approach coupled with statistical analysis to provide a measure of the degree of drug and polymer segregation without the need for acquisition of high pixel density images or multivariate analysis. The Raman mapping data is compared with both the dissolution profiles and processing parameters of the samples tested and a strong correlation is shown between formulation homogeneity and dissolution behavior.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available