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Published on: November 11, 2022
[Quantititive study for chromatographic fingerprints of processed products of Paeonia lactiflora]
Yan He1, Hui-dong Zhao, Li-ying Tang
1Institute of Basic Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Objective:
To explore the utility of Principal Factor Analysis (PFA) in chromatographic data for quality control.
Method:
Chromatographic fingerprints of processed root pieces of Paeonia lactiflora were determined by HPLC, the PFA was used for data processing.
Result:
The quantitative differences among different growing areas and different processing batches were found with the method.
Conclusion:
The method could be used in quality control for monitoring between-batch products of traditional Chinese pharmaceutical process.

