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Rhein: A novel matrix for profiling and imaging of endogenous metabolites by matrix-assisted laser desorption/ionization-mass spectrometry

  • Hui Ye
  • , Yun Wang
  • , Lin Wang
  • , Xiaowei Xu
  • , Mengqiu Wu
  • , Guoxiu Cao
  • , Yan Liang
  • , Guangji Wang
  • China Pharmaceutical University

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

MALDI-MS is an emerging technique that enables rapid profiling of endogenous substances in a high throughput. Nevertheless, its application to metabolite analysis is often hindered by the presence of massive matrix background peaks using conventional matrices. Herein rhein was introduced as a novel matrix for MALDI-MS analysis of cation metabolites. Several strong and weak basic metabolites were measured using rhein. Compared to the previously reported ionless matrix NSA and conventional matrix CHCA, clean MALDI-MS spectra were obtained devoid of matrix signals. Subsequently, we applied this matrix to profile a biologically complex sample, mice intestinal contents. In addition, we have validated the applicability of rhein to MALDI-MS imaging, which allows for simultaneous mapping of hundreds of metabolites from single mouse ileum section. In summary, the discovery of rhein as a novel MALDI matrix enables efficient and reliable profiling and imaging of endogenous metabolites from biological samples with no matrix interferences, which will greatly promote the utility of MALDI-MS-based platform for metabolome studies.

Original languageEnglish
Pages (from-to)727-733
Number of pages7
JournalJournal of China Pharmaceutical University
Volume47
Issue number6
DOIs
StatePublished - Dec 2016
Externally publishedYes

Keywords

  • MALDI-MS
  • Mass spectrometry imaging
  • Metabonomics
  • Novel matrix
  • Rhein

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