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Proanthocyanidins as the marker of amomum fruit from three botanical origins based on comprehensive profiling with LC-MS and GC-MS combined with chemometrics.

Kai DengHuali LongQingqing HeJinjun HouZijia ZhangJing ZhouYang ZhouMinmin ShenQiang YanWanying Wu
Published in: Phytochemical analysis : PCA (2024)
Classification of the botanical origin of Amomum fruit based on LC-MS characteristic ions proved to be more advantageous. This study introduces new strategies and technical support for the quality control of Amomum fruit and facilitates the identification of unknown compounds for future research.
Keyphrases
  • quality control
  • machine learning
  • deep learning
  • single cell
  • current status