2020
DOI: 10.1016/j.foodchem.2020.126693
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A modified data filtering strategy for targeted characterization of polymers in complex matrixes using drift tube ion mobility-mass spectrometry: Application to analysis of procyanidins in the grape seed extracts

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Cited by 15 publications
(7 citation statements)
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“…The (+)-catechin/(−)-epicatechin model produced, as expected, additional chromatographic peaks (peaks [25][26][27][28][29][30][31][32][33][34][35] and spots in the heat map (Figures 6 and 7) likely derived from both (+)-catechin and (−)-epicatechin. S2.…”
Section: Oxidation Dimers Of a Mixture Of (+)-Catechin And (−)-Epicat...supporting
confidence: 71%
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“…The (+)-catechin/(−)-epicatechin model produced, as expected, additional chromatographic peaks (peaks [25][26][27][28][29][30][31][32][33][34][35] and spots in the heat map (Figures 6 and 7) likely derived from both (+)-catechin and (−)-epicatechin. S2.…”
Section: Oxidation Dimers Of a Mixture Of (+)-Catechin And (−)-Epicat...supporting
confidence: 71%
“…These last two compounds are often (partly) coeluted in chromatography [19] and could not be distinguished on the basis of LC-MS/MS data alone in the present study. Li and co-workers [28] reported a slight mobility separation of these compounds with Rt of 12.3 min and drift time of 26.05 milliseconds for procyanidin B1, and 13 min and 25.79 milliseconds for procyanidin B3. Guyot and co-workers and Sun and co-workers [10,19] also described a chromatographic coelution of procyanidin B3 with a dehydrodicatechin B derived from (+)-catechin.…”
Section: Analysis Of Grape Seed Extractsmentioning
confidence: 95%
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“…Incorporating CCS values into the traditional MS-based compound identification workflow helps increase metabolite identification confidence. Many studies have created in-house CCS databases to increase the metabolite identification accuracy as well as coverage in biological samples. ,, Currently, publicly available CCS databases cover a wide range of compound classes, such as plant metabolites, , pesticides, , polymers, and pharmaceuticals . To facilitate the integration of CCS measurement into the conventional MS-based metabolomics workflows, metabolomics communities have made efforts to create open-access experimental CCS databases, such as the Unified CCS Compendium, AllCCS, CCSbase, and Pacific Northwest National Laboratory, and to develop CCS prediction models. ,,, Similar to the role of public MS databases, the growing CCS databases will lend support to large-scale metabolite identification.…”
Section: Introductionmentioning
confidence: 99%
“…In general, procyanidins are analyzed by reverse (RP) and/or normal phase high pressure liquid chromatography (HPLC) or ultra-high pressure chromatography (UPLC), or two-dimensional HPLC, coupled to photodiode array (PAD) and different kinds of mass spectrometry (MS) detectors, but only some procyanidins have been separated (up to heptamers) and quantified (up to tetramers) in this way [ 25 , 26 , 27 ]. It is only recently when the development of some multi-model regression tools for computational analysis of wide range of analytical parameters acquired by UPLC coupled to adrift tube ion mobility MS detector were capable to discriminate among co-eluting procyanidin ions and allowed Li et al [ 28 ] to do an important leapfrogging by the simultaneous characterization of up to 686 procyanidins with degree of polymerization of up to 15. Nevertheless, it should be highlighted that these results should be taken with precaution, as their identification is only tentative.…”
Section: Introductionmentioning
confidence: 99%