Issue 15, 2024

LC-MS/DIA-based strategy for comprehensive flavonoid profiling: an Ocotea spp. applicability case

Abstract

We introduce a liquid chromatography – mass spectrometry with data-independent acquisition (LC-MS/DIA)-based strategy, specifically tailored to achieve comprehensive and reliable glycosylated flavonoid profiling. This approach facilitates in-depth and simultaneous exploration of all detected precursors and fragments during data processing, employing the widely-used open-source MZmine 3 software. It was applied to a dataset of six Ocotea plant species. This framework suggested 49 flavonoids potentially newly described for these plant species, alongside 45 known features within the genus. Flavonols kaempferol and quercetin, both exhibiting O-glycosylation patterns, were particularly prevalent. Gas-phase fragmentation reactions further supported these findings. For the first time, the apigenin flavone backbone was also annotated in most of the examined Ocotea species. Apigenin derivatives were found mainly in the C-glycoside form, with O. porosa displaying the highest flavone : flavonol ratio. The approach also allowed an unprecedented detection of kaempferol and quercetin in O. porosa species, and it has underscored the untapped potential of LC-MS/DIA data for broad and reliable flavonoid profiling. Our study annotated more than 50 flavonoid backbones in each species, surpassing the current literature.

Graphical abstract: LC-MS/DIA-based strategy for comprehensive flavonoid profiling: an Ocotea spp. applicability case

Supplementary files

Article information

Article type
Paper
Submitted
23 Feb 2024
Accepted
22 Mar 2024
First published
02 Apr 2024
This article is Open Access
Creative Commons BY license

RSC Adv., 2024,14, 10481-10498

LC-MS/DIA-based strategy for comprehensive flavonoid profiling: an Ocotea spp. applicability case

M. F. Alves, A. Katchborian-Neto, P. C. P. Bueno, F. Carnevale-Neto, R. Casoti, M. S. Ferreira, M. Murgu, A. C. C. de Paula, D. F. Dias, M. G. Soares and D. A. Chagas-Paula, RSC Adv., 2024, 14, 10481 DOI: 10.1039/D4RA01384K

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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