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Rapid and direct identification of the origin of white tea with proton transfer reaction time-of-flight mass spectrometry.

Dandan ZhangWeihua WuXiaohong QiuXiaojing LiFeng ZhaoNaixing Ye
Published in: Rapid communications in mass spectrometry : RCM (2020)
Two classification models (PCA and OPLS-DA) were applied to the PTR-TOFMS data obtained from the VOCs of various white teas. The classification models were shown to be useful in identifying the origin of white tea samples, providing a reference for white tea identification.
Keyphrases
  • machine learning
  • deep learning
  • electronic health record
  • bioinformatics analysis
  • big data
  • artificial intelligence
  • quantum dots