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Published on: March 1, 2018
Chemometric evaluation of brompheniramine-tannate complexes
Ahmed S Zidan1, Ziyaur Rahman, Mansoor A Khan
1Division of Product Quality and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
This study demonstrates that combining Raman and near-infrared (NIR) spectroscopy with chemometrics effectively characterizes brompheniramine (BP) tannate complexes. These methods accurately predict critical quality attributes like solubility and dissolution, confirming complexation variability.
Area of Science:
- Analytical Chemistry
- Pharmaceutical Sciences
- Spectroscopy
Background:
- Brompheniramine (BP) tannate complexes are used for sustained drug delivery.
- Characterizing critical quality attributes (CQAs) of these complexes is crucial for ensuring product performance.
- Traditional methods for CQA assessment can be time-consuming and may not provide spatial information.
Purpose of the Study:
- To evaluate the efficacy of Raman and near-infrared (NIR) spectroscopy coupled with chemometrics for characterizing BP-tannate complexes.
- To assess the ability of these techniques to predict solubility, dissolution, and spatial distribution of BP within the complexes.
- To determine the variability in tannate complexation.
Main Methods:
- Seven BP-tannate complexes were prepared and analyzed using NIR chemical imaging (CI).
- Spectroscopic data (Raman and NIR) were pretreated and analyzed using Principal Component Analysis (PCA).
- Partial Least Squares Regression (PLSR) and Principal Component Regression (PCR) models were developed to predict CQAs.
Main Results:
- Fourier Transform Infrared (FTIR) analysis confirmed complexation, leading to reduced solubility and sustained release in alkaline media.
- NIR spectroscopy demonstrated superior discrimination ability compared to Raman spectroscopy.
- PLSR models, particularly with second-derivative pretreatment, showed lower prediction errors for solubility and dissolution rates compared to PCR.
- NIR-CI models achieved high correlation (>0.95) for predicting drug concentration, validating spatial quantitation capabilities.
Conclusions:
- Chemometric analysis of NIR and/or Raman spectra offers an innovative and effective approach for determining tannate complexation variability.
- The combined spectroscopic and chemometric methods provide a robust platform for characterizing CQAs of pharmaceutical complexes.
- NIR-CI, in particular, is validated for the spatial quantitation of active pharmaceutical ingredients within complexes.
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