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Peak purity determination with principal component analysis of high-performance liquid chromatography-diode array
Kent Wiberg1, Mattias Andersson, Anders Hagman
1AstraZeneca R&D Södertälje, Analytical Development, Forskargatan 20, SE-151 85 Södertälje, Sweden.
Journal of Chromatography. A
|March 23, 2004
Summary
Principal Component Analysis (PCA) offers a simpler, faster method for determining chromatographic peak purity using high-performance liquid chromatography with diode array detection (HPLC-DAD). This technique significantly outperforms existing software, achieving high accuracy even with overlapping peaks.
Area of Science:
- Analytical Chemistry
- Chromatography
- Spectroscopy
Background:
- Chromatographic peak purity is crucial for accurate quantification in pharmaceutical analysis.
- Existing methods for peak purity assessment, such as those in commercial software, may lack sensitivity for complex mixtures.
- High-performance liquid chromatography with diode array detection (HPLC-DAD) generates rich data suitable for advanced chemometric analysis.
Purpose of the Study:
- To develop and validate a Principal Component Analysis (PCA) based method for determining chromatographic peak purity.
- To compare the performance of the PCA method against a standard software-based approach (Chromeleon) for peak purity analysis.
- To evaluate the PCA method's efficacy in analyzing binary mixtures with significant peak overlap and low concentrations of one component.
Main Methods:
- High-performance liquid chromatography with diode array detection (HPLC-DAD) was employed to analyze binary mixtures of lidocaine and prilocaine.
- Principal Component Analysis (PCA) was applied to the DAD data across chromatographic peaks to assess purity.
- Analysis involved examining PCA-derived metrics such as observation residuals and loadings.
- Results were benchmarked against the peak purity functions available in the Chromeleon chromatography data system.
Main Results:
- The PCA method demonstrated high sensitivity in detecting impurities, achieving results comparable to the detection limit of baseline-separated prilocaine.
- PCA outperformed the reference Chromeleon methods by a factor of ten in terms of sensitivity and accuracy for peak purity determination.
- The method proved effective even when analyzing lidocaine peaks contaminated with very low concentrations (0.02-2%) of prilocaine, despite spectral similarity and peak overlap.
Conclusions:
- PCA provides a robust and highly sensitive method for chromatographic peak purity determination using HPLC-DAD data.
- The PCA approach offers significant advantages in simplicity, computational speed, and ease of use compared to other chemometric techniques like Evolving Factor Analysis (EFA).
- This method enhances the reliability of chromatographic analyses, particularly in complex samples where peak purity is critical for accurate results.