Publications by authors named "Danielle Rocha Pinho"
Article Synopsis
- - Untargeted metabolomics, often reliant on data-dependent acquisition (DDA), has limitations in fragmenting all detected ions and specificity, prompting the development of a dynamic procedure to enhance detection of biological signals.
- - The study analyzed three species of actinomycetes using liquid chromatography and mass spectrometry, employing MZmine for preprocessing and a custom tool, RegFilter, for data processing.
- - RegFilter improved ion detection by covering the whole chromatographic run and allowed for the annotation of biologically relevant candidates, thus serving as a valuable complement to DDA and enabling the creation of customized spectral libraries.
In this study, we report the metabolic profiling of several previously uncharacterized Passiflora species native to Brazil, employing molecular networks to delve deeper into chemical constituents. Using the GNPS platform, in silico tools, and substructure annotation techniques, we expanded the chemical annotations. Principal Coordinate Analysis (PCoA) revealed significant metabolic similarities between several species, including P.
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