LC-MS/MS dataset for the identification of polyphenolic compounds in sour cherry (Prunus cerasus L.)
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- https://hdl.handle.net/20.500.12838/5477
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- Dataset name: LC-MS/MS dataset for the identification of polyphenolic compounds in sour cherry (Prunus cerasus L.)
- Description of the dataset: This dataset contains processed analytical data obtained from the qualitative analysis of polyphenolic compounds present in sour cherry (Prunus cerasus L.) fruit extracts using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF). The dataset includes chromatographic and mass spectrometric parameters used for the identification of secondary plant metabolites. The data comprise retention times, measured and theoretical m/z values, MS/MS fragmentation ions, mass accuracy values, and compound identification results.Five polyphenolic compounds were tentatively identified in the analyzed samples, including flavanols, anthocyanins, and flavonol glycosides.
- Year published: 2026
- Date created: 02.05.2025
- Files format: xlsx
- Language: eng
- Raw data: nie
- Source of finance: National Science Center Poland (NCN)
- Grant name: SONATA
- Grant number: 2023/51/D/NZ9/01445
- Keywords:
- Related publications: Application of high-resolution mass spectrometry in the alanysisi of cherry polyphenols (Prunus cerasus L.). KAMILA BOROWIEC, ELWIRA KOMOŃ-JANCZARA, AGNIESZKA MICHALAK, ANNA STACHNIUK. W: Science and industry challenges and opportunities. Collective book Lublin 2025, Uniwersytet Marii Curie-Skłodowskiej w Lublinie, s. 199-202 https://wydawnictwo.umcs.eu/js/elfinder/files/Ebook/SICO_2025.pdf