Untargeted analysis of hydrophilic metabolites using enhanced LC-MS separation with a pentafluoro phenylpropyl-functionalized column and prediction-based MS/MS spectrum annotation

利用五氟苯丙基官能化色谱柱增强液相色谱-质谱分离和基于预测的MS/MS谱图注释,对亲水性代谢物进行非靶向分析

阅读:1

Abstract

INTRODUCTION: Wide-targeted metabolome analysis has been applied in studies on the biology of mammals, plants, and microorganisms. However, there are still issues regarding both analytical and informatics technologies for establishing an untargeted and comprehensive analysis of hydrophilic primary and secondary metabolites. OBJECTIVES: This study aimed to develop an improved chromatographic method for analyzing hydrophilic metabolites and an annotation method for these diverse metabolites. METHODS: We investigated the performance of a pentafluoro phenylpropyl-functionalized column (PFP column) for the comprehensive analysis of hydrophilic metabolites by liquid chromatography-mass spectrometry (LC-MS). Peaks were annotated using MS/MS spectral similarity searches of the predicted and experimental MS/MS spectra in metabolite structure databases. RESULTS: The improved retention and peak shapes of the standard compounds were obtained using LC-MS analysis with a PFP column. The mobile phases comprised water with 0.1% formic acid and methanol with 0.1% formic acid and 10 mM ammonium formate. From the annotation results of the 48 standard compounds, the chemical structures were correctly annotated in 54% of the compounds. However, over 70% of the compounds were annotated as biologically relevant based on the natural product classification. When these methods were applied to the analysis of tomato fruits, 658 and 458 peaks were detected and annotated in the positive and negative ion analyses, respectively. CONCLUSION: Metabolome analysis combined with LC-MS analysis and annotation can contribute to the comprehensive analysis of hydrophilic metabolites.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。