AI Article Synopsis

  • The study introduces a new method called MS/MS boost analysis to enhance sensitivity in liquid chromatography-Tandem Mass Spectrometry for metabolomics, making it easier to analyze product ions.
  • Using this method, researchers analyzed various monoterpene indole alkaloids (MIAs), identifying numerous common monoisotopic ions, which helps in understanding the chemical structure of these compounds.
  • The analysis also extends to profiling specific MIAs in plants like Catharanthus roseus and Uncaria rhynchophylla, facilitating targeted metabolome studies and improving structural assignments of metabolite groups.

Article Abstract

In metabolomics, the analysis of product ions in tandem mass spectrometry (MS/MS) is noteworthy to chemically assign structural information. However, the development of relevant analytical methods are less advanced. Here, we developed a method to boost sensitivity in liquid chromatography-Fourier transform ion cyclotron resonance-tandem mass spectrometry analysis (MS/MS boost analysis). To verify the MS/MS boost analysis, both quercetin and uniformly labeled (13)C quercetin were analyzed, revealing that the origin of the product ions is not the instrument, but the analyzed compounds resulting in sensitive product ions. Next, we applied this method to the analysis of monoterpene indole alkaloids (MIAs). The comparative analyses of MIAs having indole basic skeleton (ajmalicine, catharanthine, hirsuteine, and hirsutine) and oxindole skeleton (formosanine, isoformosanine, pteropodine, isopteropodine, rhynchophylline, isorhynchophylline, and mitraphylline) identified 86 and 73 common monoisotopic ions, respectively. The comparative analyses of the three pairs of stereoisomers showed more than 170 common monoisotopic ions in each pair. This method was also applied to the targeted analysis of MIAs in Catharanthus roseus and Uncaria rhynchophylla to profile indole and oxindole compounds using the product ions. This analysis is suitable for chemically assigning features of the metabolite groups, which contributes to targeted metabolome analysis.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681812PMC
http://dx.doi.org/10.3389/fpls.2015.01127DOI Listing

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