钟姝凝,李佳宁,唐开红,刘桐汐,张远东,张园园.基于非靶向代谢组学的葵花盘物质提取溶剂效应差异分析[J].食品安全质量检测学报,2025,16(5):76-85 |
基于非靶向代谢组学的葵花盘物质提取溶剂效应差异分析 |
Analysis of solvent effects differences in extracting substances from flower disc of Helianthus annuus L. using non-targeted metabolomics |
投稿时间:2024-12-09 修订日期:2025-02-12 |
DOI: |
中文关键词: 向日葵花盘 非靶向代谢组学 提取方式 差异代谢物 KEGG通路 |
英文关键词:flower disc of Helianthus annuus L. non-targeted metabolomics extraction methods differential metabolites |
基金项目:吉林省科技厅人才专项(20220508060RC);2024年吉林省大学生创新创业训练计划项目(202411261004) |
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中文摘要: |
目的 基于非靶向代谢组学技术, 开展葵花盘物质提取溶剂效应差异分析, 探究不同溶剂提取对葵花盘代谢物质组成的影响。方法 运用液相色谱-质谱法(liquid chromatography-mass spectrometer, LC-MS)结合非靶向代谢组学, 对数据进行预处理和统计分析。结果 脂质和类脂分子代谢物数量占比最大(21.5%), 其次是莽草酸和苯丙酸代谢物(13.4%)以及有机杂环化合物代谢物(11.1%)。进一步鉴定出8407种上调和1054种下调代谢物质, 揭示了不同提取方法导致的显著代谢物组成差异。两种溶剂提取方式下的主要差异代谢物涵盖脂质、莽草酸和苯丙酸、萜类化合物等, 涉及96条代谢途径, 其中20条途径有显著差异。基于差异倍数(fold change, FC), 以log2(FC)>0.6或–0.2 |
英文摘要: |
Objective To investigate the solvent effect differences in the extraction of substances from flower discs of Helianthus annuus L. using non-targeted metabolomics technology, and to explore the impact of different solvent extraction methods on the metabolic composition of flower disc of Helianthus annuus L.. Methods Liquid chromatography-mass spectrometer (LC-MS) combined with non-targeted metabolomics was utilized to preprocess and statistically analyze the data. Results The study revealed that lipids and lipid-like molecules constituted the largest proportion of metabolites (21.5%), followed by shikimate and phenylpropanoid metabolites (13.4%), and organic heterocyclic compound metabolites (11.1%). Further identification led to the discovery of 8407 kinds of up-regulated and 1054 kinds of down-regulated metabolites, highlighting significant differences in metabolite composition resulting from various extraction methods. The main differential metabolites between the 2 kinds of solvent extraction methods encompassed lipids, shikimate and phenylpropanoids, terpenoids, etc., involving 96 metabolic pathways, with 20 pathways exhibiting significant differences. Based on fold change (FC), using criteria of log2(FC)>0.6 or –0.2 |
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