Talbot, Helen M., Sidgwick, Frances R., Bischoff, Juliane, Osborne, Kate A., Rush, Darci, Sherry, Angela and Spencer-Jones, Charlotte L. (2016) Analysis of non-derivatised bacteriohopanepolyols by ultrahigh-performance liquid chromatography/tandem mass spectrometry. Rapid Communications in Mass Spectrometry, 30 (19). pp. 2087-2098. ISSN 0951-4198
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Analysisofnonderivatisedbacteriohopanepolyolsbyultrahighperformanceliquidchromatographytandemmassspectrometryacceptedforpublicationversion.pdf - Accepted Version Download (918kB) | Preview |
Abstract
RATIONALE: Traditional investigation of bacteriohopanepolyols (BHPs) has relied on derivatisation by acetylation prior to gas chromatography/mass spectrometry (GC/MS) or liquid chromatography/MS (LC/MS) analysis. Here, modern chromatographic techniques (ultrahigh-performance liquid chromatography (UPLC)) and new column chemistries were tested to develop a method for BHP analysis without the need for derivatisation.
METHODS: Bacterial culture and sedimentary lipid extracts were analysed using a Waters Acquity Xevo TQ-S triple quadrupole mass spectrometer in positive ion atmospheric pressure chemical ionisation (APCI) mode. Waters BEH C18 and ACE Excel C18 were the central columns evaluated using a binary solvent gradient with 0.1% formic acid in the polar solvent phase in order to optimise performance and selectivity.
RESULTS: Non-amine BHPs and adenosylhopane showed similar performance on each C18 column; however, BHP-containing terminal amines were only identified eluting from the ultra-inert ACE Excel C18 column. APCI-MS/MS product ion scans revealed significant differences in fragmentation pathways from previous methods for acetylated compounds. The product ions used for targeted multiple reaction monitoring (MRM) are summarised.
CONCLUSIONS: UPLC/MS/MS analysis using an ACE Excel C18 column produced superior separation for amine-containing BHPs and reduced run times from 60 to 9 min compared with previous methods. Unexpected variations in fragmentation pathways between structural subgroups must be taken into account when optimising MRM transitions for future quantitative studies.
Item Type: | Article |
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Subjects: | C500 Microbiology C700 Molecular Biology, Biophysics and Biochemistry F100 Chemistry |
Department: | Faculties > Health and Life Sciences > Applied Sciences |
Depositing User: | John Coen |
Date Deposited: | 21 Feb 2020 11:18 |
Last Modified: | 31 Jul 2021 19:46 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/42170 |
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