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Screening, identification and quantification of glucosinolates in black radish (Raphanus sativus L. niger) based dietary supplements using liquid chromatography coupled with a photodiode array and liquid chromatography-mass spectrometry

  • E Njumbe Ediage
  • , J Diana Di Mavungu
  • , M L Scippo
  • , Y J Schneider
  • , Y Larondelle
  • , A Callebaut
  • , J Robbens
  • , C Van Peteghem
  • , S De Saeger

    Research output: Contribution to journalA1: Web of Science-articlepeer-review

    Abstract

    The glucosinolate profile of black radish (Raphanus sativus L. niger) based dietary supplements has been investigated by HPLC-PDA, LC-ESI-MS/MS and LC-APCI-MS/MS systems. Optimization of the MS/MS parameters and LC conditions was performed using sinigrin reference standard and rapeseed certified reference material (BC190) respectively. An LC-ESI-MS/MS system was used to detect (screen) and identify the naturally occurring intact glucosinolates (GLs). The intact GLs identified were then desulfated and quantified on an HPLC-PDA system as desulfo-glucosinolates (DS-GLs). Prior to quantification, the DS-GLs were identified using an APCI-MS/MS. The HPLC-PDA method performance criteria were evaluated using glucotropaeolin potassium salt. The validated method was applied for the analysis of six dietary supplements. In total, six glucosinolates were identified and quantified in the dietary supplements; glucoraphasatin (0.2-0.48 mg/g), glucosisaustricin (0.37-0.91 mg/g), glucoraphenin (0.84-1.27 mg/g), glucoputrajivin (0.14-0.28 mg/g), glucosisymbrin (0.70-0.99 mg/g) and gluconasturtiin (0.06-0.12 mg/g). Glucoraphenin was the most abundant glucosinolate in all samples.
    Original languageEnglish
    JournalJournal of Chromatography A
    Volume1218
    Issue number28
    Pages (from-to)4395-405
    Number of pages11
    ISSN0021-9673
    DOIs
    Publication statusPublished - 2011

    Keywords

    • Chromatography, High Pressure Liquid
    • Dietary Supplements
    • Glucosinolates
    • Hydrogen-Ion Concentration
    • Raphanus
    • Regression Analysis
    • Reproducibility of Results
    • Sensitivity and Specificity
    • Tandem Mass Spectrometry

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