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Identification of raffinose family oligosaccharides in processed Rehmannia glutinosa Libosch using matrix-assisted laser desorption/ionization mass spectrometry image combined with machine learning.

Huizhi LiShishan ZhangYanfang ZhaoJixiang HeXiangfeng Chen
Published in: Rapid communications in mass spectrometry : RCM (2023)
MALDI-MSI combined with machine learning can be used to visualize the distribution of oligosaccharides and identify the processed samples after steaming for different durations. This can enhance our understanding of the metabolic changes that occur during the steaming process of R. glutinosa; meanwhile, it is expected to provide a theoretical reference for the standardization and modernization of processing in the field of medicinal plants.
Keyphrases
  • machine learning
  • mass spectrometry
  • deep learning
  • artificial intelligence
  • liquid chromatography
  • big data
  • capillary electrophoresis
  • high resolution
  • gas chromatography
  • ms ms