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Quantitative fingerprint and antioxidative properties of Artemisia argyi leaves combined with chemometrics.

Lixian ZhangYue WeiWei WangYi FanFeifei LiZhining LiAiqin LinHaike GuMeifang SongTao WangGuijun LiuXiao Li
Published in: Journal of separation science (2023)
Quantitative fingerprint and differences of Artemisia argyi from different varieties, picking time, aging year, and origins were analyzed combing with chemometrics. The antioxidant activity was determined and antioxidant markers of Artemisia argyi were screened. Variety WA3 was significantly different from that of the other varieties. Fingerprint peak response and antioxidant activity of A. argyi picked in December were lower than samples collected in May and August. Fresh A. argyi leaves were significantly superior to withered leaves and stems. Artemisia argyi aging 1-5 years presented a classification trend. Antioxidant activity of A. argyi produced in Nanyang was generally superior to others origins. Peak 9, isochlorogenic acid A, and 6-methoxyluteolin contributed greatly for classification of A. argyi from different variety, picking time, aging year, and origin. Isochlorogenic acid A, isochlorogenic acid C, 6-methoxyluteolin, and chlorogenic acid were selected as antioxidant marker of A. argyi. The method based on quantitative fingerprint, antioxidant activity evaluation, and chemometrics was reliable to analyze the differences of A. argyi samples from different sources.
Keyphrases
  • machine learning
  • oxidative stress
  • high resolution
  • deep learning
  • anti inflammatory
  • quality control
  • drinking water
  • gas chromatography mass spectrometry
  • essential oil
  • clinical evaluation