| Literature DB >> 30105741 |
Abstract
Current literature shows a gap for methods which can identify yeast sub-species (strains or serovars) in samples where there are no viable cells remaining. Presented here is a technique for the analysis of yeast supernatant, including solid phase extraction, data-dependent acquisition liquid chromatography/mass spectrometry (LC-MS), and two chemometric methods to identify and classify yeast strains. Five strains of Saccharomyces cerevisiae were successfully identified in various stages of growth. In addition, peptide/protein identification was performed, without the need for additional data acquisition. Graphical Abstract ᅟ.Entities:
Keywords: Biomarker; LC-MS; Microorganism identification; S. cerevisiae; Secreted peptides; Strain identification; Yeast
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Year: 2018 PMID: 30105741 DOI: 10.1007/s13361-018-2046-3
Source DB: PubMed Journal: J Am Soc Mass Spectrom ISSN: 1044-0305 Impact factor: 3.109