| Literature DB >> 33188545 |
María Del Mar Delgado-Povedano1,2, André de Villiers3, Stephan Hann2, Tim Causon2.
Abstract
Rugged analytical methods for the screening and identity confirmation of anthocyanins require a dedicated sample preparation, chromatographic setup and the reliable generation of multiple identification points to confirm identity against the wide range of phenolic compounds typically present in food, beverage and plant material samples. To this end, combinations of spectroscopic and mass spectrometric detection are frequently employed for this application in order to provide higher confidence in the absence of authentic standards. In the present work, low-field drift tube ion mobility (DTIM) separation is evaluated for this task using a LC-DAD-DTIM-QTOFMS method. DTIM-MS allows accurate determination of collision cross sections (DT CCS) for all analysed compounds as well as a precise alignment tool for reconciling fragment and precursor ions in data independent acquisition mode. The presented approach thereby allows for an anthocyanin screening method taking true advantage of all dimensions of the analytical platform: relative retention (RPLC), UV/VIS absorption spectrum, accurate mass, DT CCSN2 and confirmed high resolution fragment ions. From the analysis of authentic standards and several berry samples primarily from the Vaccinium genus, Level 1 confirmation data for 6 anthocyanins from the cyanidin family, and Level 2 confirmation for a further 29 anthocyanins confirmed in berry samples is provided. The method and accompanying dataset provided as part of this work provides a means to develop anthocyanin screening methods using the ion mobility dimension as an additional alignment and filtering parameter in data independent analysis acquisition across any LC-IM-MS platform. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.Entities:
Keywords: Anthocyanins; Berries; Identity confirmation; Ion mobility-mass spectrometry; Natural products
Year: 2020 PMID: 33188545 DOI: 10.1002/elps.202000274
Source DB: PubMed Journal: Electrophoresis ISSN: 0173-0835 Impact factor: 3.535