LC-MS/DIA-based strategy for comprehensive flavonoid profiling: an Ocotea spp. applicability case.
Matheus Fernandes AlvesAlbert Katchborian NetoPaula Carolina Pires BuenoFausto Carnevale NetoRosana CasotiMiller Santos FerreiraAnna Maria A P FernandesAna Claudia Chagas de PaulaDanielle Ferreira DiasMarisi Gomes SoaresDaniela Aparecida Chagas de PaulaPublished in: RSC advances (2024)
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.
Keyphrases
- mass spectrometry
- liquid chromatography
- electronic health record
- single cell
- big data
- systematic review
- data analysis
- genetic diversity
- high resolution
- tandem mass spectrometry
- machine learning
- gas chromatography
- capillary electrophoresis
- smoking cessation
- high performance liquid chromatography
- real time pcr
- quantum dots