LC-MS/MS dataset for the identification of polyphenolic compounds in sour cherry (Prunus cerasus L.)
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- Dane badawcze
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- Handle
- https://hdl.handle.net/20.500.12838/5477
Opis
- Autor:
- Nazwa datasetu: LC-MS/MS dataset for the identification of polyphenolic compounds in sour cherry (Prunus cerasus L.)
- Opis: 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.
- Rok publikacji: 2026
- Data wytworzenia: 02.05.2025
- Format pliku: xlsx
- Język: eng
- Dane surowe: nie
- Instytucja finansująca: National Science Center Poland (NCN)
- Nazwa grantu: SONATA
- Numer grantu: 2023/51/D/NZ9/01445
- Słowa kluczowe w j. angielskim:
- Powiązane publikacje: 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