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    WEN Chaoxu, ZHAO Changhan, XIE Xingteng, ZHANG Deqing, HAN Zhongyao, TENG Le, TANG Junxiang. Establishment of High Performance Liquid Chromatography Fingerprint of Qingfei Paidu Decoction and Principal Component Analysis Study[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART B:CHEMICAL ANALYSIS, 2023, 59(7): 806-811. DOI: 10.11973/lhjy-hx202307010
    Citation: WEN Chaoxu, ZHAO Changhan, XIE Xingteng, ZHANG Deqing, HAN Zhongyao, TENG Le, TANG Junxiang. Establishment of High Performance Liquid Chromatography Fingerprint of Qingfei Paidu Decoction and Principal Component Analysis Study[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART B:CHEMICAL ANALYSIS, 2023, 59(7): 806-811. DOI: 10.11973/lhjy-hx202307010

    Establishment of High Performance Liquid Chromatography Fingerprint of Qingfei Paidu Decoction and Principal Component Analysis Study

    • In order to provide a scientific basis for the quality control and clinical application of medication of Qingfei Paidu decoction for anti-corona virus disease 2019 (COVID-19), high performance liquid chromatography (HPLC) fingerprint of Qingfei Huedu decoction was established and principal component analysis was carried out. According to the method recorded on Reference Program for Traditional Chinese Medicine Prevention and Treatment of Corona Virus Disease 2019 in Guizhou Province (4th edition), 12 batches of the test solutions of Qingfei Paidu decoction were prepared and determined by HPLC. The HPLC fingerprint of Qingfei Huedu decoction was established according to the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine (2004 A edition), and the principal component analysis was carried out by SPSS 18.0 software. The results showed that there were 30 common peaks in the fingerprints of 12 batches of Qingfei Paidu decoction. Compared with the reference substance, peak 24 was confirmed to be baicalin, and the similarity was in the range of 0.980-0.997 between fingerprints of 12 batches of Qingfei Paidu decoction and reference fingerprint. The precision of the instrument was good, and the repeatability and stability of this method were good by methodology validation. Six principal components were obtained by principal component analysis, and the variance contribution rates were 56.566%, 12.847%, 9.364%, 6.781%, 4.800%, 3.980%, respectively, with the cumulative variance contribution rate reached 94.337%.
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