• Title of article

    Identification and quantification of flavonoid aglycones in rape bee pollen from Qinghai-Tibetan Plateau by HPLC-DAD-APCI/MS

  • Author/Authors

    Lv، نويسنده , , Huanhuan and Wang، نويسنده , , Xiaoyan and He، نويسنده , , Yanfeng and Wang، نويسنده , , Honglun and Suo، نويسنده , , Yourui، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2015
  • Pages
    6
  • From page
    49
  • To page
    54
  • Abstract
    For identification and quantification of flavonoid aglycones in rape bee pollen (RBP) collected from the Qinghai-Tibetan Plateau, a high-performance liquid chromatography (HPLC) separation method with diode array detector (DAD) and atmospheric pressure chemical ionization/mass spectrometric (APCI/MS) detection and four extraction methods (i.e. microwave-assisted extraction, Soxhlet extraction, cold-soaked extraction, and heat reflux extraction) were developed in this study. The identification of flavonoid aglycones was based on retention time and mass spectra by comparison with standards. Results demonstrated that this method showed excellent reproducibility and correlation coefficient, and offered the detection limits of 0.77–15.50 pmol at signal-to-noise ratio of 3. Quercetin and kaempferol were presented in RBP, and microwave-assisted extraction (MAE) was superior to the other three methods in terms of efficiency, convenience and high content of quercetin (1.37 ± 0.059 mg/g) and kaempferol (23.44 ± 0.544 mg/g). Our work indicated that: 1) the proposed HPLC-DAD-APCI/MS was an accurate and precise analysis method to identify and quantify the flavonoid aglycones in RBP; and 2) MAE was efficient to extract flavonoids from RBP with short extraction time, low solvent consumption, and homogeneous extraction conditions.
  • Keywords
    Flavonoid aglycone , Quercetin , kaempferol , Food analysis , Food Composition , HPLC-DAD-APCI/MS , Microwave-assisted extraction (MAE) , Traditional foods , Rape bee pollen (RBP)
  • Journal title
    Journal of Food Composition and Analysis
  • Serial Year
    2015
  • Journal title
    Journal of Food Composition and Analysis
  • Record number

    2169623