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  • 标题:Authentication and Quantitation of Fraud in Extra Virgin Olive Oils Based on HPLC-UV Fingerprinting and Multivariate Calibration
  • 本地全文:下载
  • 作者:Núria Carranco ; Mireia Farrés-Cebrián ; Javier Saurina
  • 期刊名称:Foods
  • 电子版ISSN:2304-8158
  • 出版年度:2018
  • 卷号:7
  • 期号:4
  • 页码:44
  • DOI:10.3390/foods7040044
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:High performance liquid chromatography method with ultra-violet detection (HPLC-UV) fingerprinting was applied for the analysis and characterization of olive oils, and was performed using a Zorbax Eclipse XDB-C8 reversed-phase column under gradient elution, employing 0.1% formic acid aqueous solution and methanol as mobile phase. More than 130 edible oils, including monovarietal extra-virgin olive oils (EVOOs) and other vegetable oils, were analyzed. Principal component analysis results showed a noticeable discrimination between olive oils and other vegetable oils using raw HPLC-UV chromatographic profiles as data descriptors. However, selected HPLC-UV chromatographic time-window segments were necessary to achieve discrimination among monovarietal EVOOs. Partial least square (PLS) regression was employed to tackle olive oil authentication of Arbequina EVOO adulterated with Picual EVOO, a refined olive oil, and sunflower oil. Highly satisfactory results were obtained after PLS analysis, with overall errors in the quantitation of adulteration in the Arbequina EVOO (minimum 2.5% adulterant) below 2.9%.
  • 关键词:high performance liquid chromatography; UV detection; multivariate calibration; food authentication; olive oils; fraud quantitation high performance liquid chromatography ; UV detection ; multivariate calibration ; food authentication ; olive oils ; fraud quantitation
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