In this study, we combined two distinct extraction and separation techniques with the aim of comprehensively collecting metabolite features in sprouts, particularly hydrophilic compounds. By synergistically analyzing the data using MS-DIAL and MetaboAnalystR, we obtained a greater number of annotated metabolites and explored differences in annotation across analytical tools. We found that this approach significantly increased the number of detected metabolite features and the final identification counts. Furthermore, we explored the functional component characteristics of four sprout types. This study provides data supporting the potential of sprouts as nutritious vegetables and functional food ingredients, emphasizing their value in the development of functional foods.

中文翻译：

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用于四种芽类型代谢物分析的综合式高通量代谢组学方法


在这项研究中，我们结合了两种不同的提取和分离技术，旨在全面收集芽中的代谢物特征，尤其是亲水性化合物。通过使用 MS-DIAL 和 MetaboAnalystR 协同分析数据，我们获得了更多的注释代谢物，并探索了不同分析工具之间注释的差异。我们发现这种方法显着增加了检测到的代谢物特征的数量和最终鉴定计数。此外，我们探讨了 4 种芽类型的功能成分特征。本研究提供了数据支持芽菜作为营养蔬菜和功能性食品成分的潜力，强调了它们在功能性食品开发中的价值。