Xingdong Wu, Qingjie Fan, Chunxue Gao, Jiajia Wu, Di Wu, Enming Hu, Daopeng Tan, Yongxia Zhao, Xiaoshan Li, Yang Zhou, Qin Lin, Yuqi He
With significant advancements in high-resolution mass spectrometry, there has been a substantial increase in the amount of chemical component data acquired from natural products. Therefore, the rapid and efficient extraction of valuable mass spectral information from large volumes of high-resolution mass spectrometry data holds crucial significance. This study illustrates a targeted annotation of the metabolic products of alkaloid and sesquiterpene components from Dendrobium nobile (D. nobile) aqueous extract in mice serum through the integration of an in-houses database, R programming, a virtual metabolic product library, polygonal mass defect filtering, and Kendrick mass defect strategies...
March 13, 2024: Journal of Pharmaceutical and Biomedical Analysis