Novel Equivalent Carbon Number Strategy for Large-Scale Lipidomics Data Analysis via Ultrahigh–Performance Liquid Chromatography–Orbitrap Astral Mass Spectrometry

作者：Yao Chen, Xin Wang, Rui Zhong, Zixuan Wang, Ziquan Fan, Tian Liu, Chao Li, Yaorui Ye, Chunxiu Hu, Guowang Xu · 发表于：Analytical Chemistry · 年份：2025 · DOI：10.1021/acs.analchem.5c01863 · 被引用次数：3 · 研究领域：Metabolomics and Mass Spectrometry Studies、Mass Spectrometry Techniques and Applications、Analytical Chemistry and Chromatography

yeast, and their pooled sample and were analyzed by Astral-MS, respectively. It was also found that the numbers of annotated lipids from Astral-MS data preprocessed with LipidSearch and MS-DIAL were 3-5 and 2-4 times higher than those from QE-MS data, respectively. This strategy enables efficient and accurate lipid identification with precise retention times and reliable MS/MS annotation, advancing large-scale lipidomics research and offering broad application in diverse biological contexts.