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A sample wetting strategy to overcome differences in physical morphology between lab-prepared training samples and
Yoonjeong Lee1, Janghee Han, Jaejin Kim
1Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, 222 Wangsimni-ro, Seoul, 04763, Republic of Korea. hoeil@hanyang.ac.kr.
Water wetting harmonizes sample morphologies, improving Raman spectroscopy accuracy for pharmaceutical analysis. This simple strategy enhances multivariate quantitative analysis by aligning lab powders and process granules.
Area of Science:
- Pharmaceutical Analysis
- Spectroscopy
- Materials Science
Background:
- Lab-blended powders are common for multivariate quantitative analysis training sets.
- Pharmaceutical process samples often have granular morphology, differing from lab powders.
- Morphological differences cause dissimilar Raman spectral features, reducing analysis accuracy.
Purpose of the Study:
- To introduce and evaluate a water wetting strategy for harmonizing sample morphologies.
- To improve the accuracy of Raman spectroscopic analysis for pharmaceutical samples.
- To enable accurate quantitative analysis of active pharmaceutical ingredients (APIs) in real process samples.
Main Methods:
- Demonstration of a water wetting technique to alter sample physical presentations.
- Application of the strategy to samples containing esomeprazole magnesium dihydrate (EMD) and other components.
- Development and comparison of partial least squares (PLS) models before and after sample wetting.
- Confirmation of morphological and crystallinity changes using SEM imaging and XRD patterns.
Main Results:
- A PLS model using un-wetted training samples was inaccurate for real process samples.
- Water wetting created similar morphologies in both lab powders and process granules.
- Wetted samples allowed for accurate EMD concentration determination via Raman spectroscopy.
- SEM and XRD confirmed similar morphologies and crystallinities in wetted samples.
Conclusions:
- Water wetting is an effective and simple strategy to improve Raman spectroscopic analysis accuracy.
- The method overcomes challenges posed by morphological differences between training and process samples.
- This versatile technique is applicable to various vibrational spectroscopic analyses of diverse sample types.
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