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首页> 外文期刊>Food Chemistry >Characterization, classification and authentication of fruit-based extracts by means of HPLC-UV chromatographic fingerprints, polyphenolic profiles and chemometric methods
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Characterization, classification and authentication of fruit-based extracts by means of HPLC-UV chromatographic fingerprints, polyphenolic profiles and chemometric methods

机译：通过HPLC-UV色谱指纹图谱，多酚谱和化学计量学方法对基于水果的提取物进行表征，分类和鉴定

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摘要

HPLC-UV was applied to the analysis and characterization of fruit-based and fruit-processed products. A Kinetex C18 reversed-phase column was proposed under gradient elution for the determination of 17 polyphenols. Acceptable sensitivity (LODs below 0.16 mg/L), and good linearity (r(2) higher than 0.995), precision (RSD below 6.8%), and method trueness (relative errors below 11%) were obtained. Data corresponding to polyphenolic peak areas and HPLC-UV chromatographic fingerprints were then analyzed by exploratory principal component analysis (PCA) to extract information of the most significant variables contributing to characterization and classification of analyzed samples regarding the fruit of origin. HPLC-UV chromatographic data was further treated by partial least square (PLS) regression to determine the percentages of adulteration in cranberry-fruit extracts. It was found that even mixture samples containing low percentages of adulterants could be distinguished from genuine cranberry extracts. Highly satisfactory results were obtained, with overall errors in the quantification of adulterations below 4.3%. (C) 2016 Elsevier Ltd. All rights reserved.
机译：HPLC-UV用于水果基和水果加工产品的分析和表征。提出了一种Kinetex C18反相色谱柱，用于梯度洗脱，用于测定17种多酚。获得了可接受的灵敏度（LOD低于0.16 mg / L），良好的线性（r（2）高于0.995），精密度（RSD低于6.8％）和方法真实性（相对误差低于11％）。然后，通过探索性主成分分析（PCA）分析与多酚峰面积和HPLC-UV色谱指纹图谱相对应的数据，以提取最重要变量的信息，这些变量有助于表征和分析有关原产地水果的样品。 HPLC-UV色谱数据通过偏最小二乘（PLS）回归进一步处理，以确定酸果蔓提取物中的掺假百分比。结果发现，即使掺假物含量低的混合物样品也可以与真正的蔓越莓提取物区分开。获得了非常令人满意的结果，掺假量化的总体误差低于4.3％。 （C）2016 Elsevier Ltd.保留所有权利。

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  • 来源
    《Food Chemistry》 |2017年第15期|29-38|共10页
  • 作者

    Pardo-Mates Naiara; Vera Alex; Barbosa Sergio; Hidalgo-Serrano Miriam; Nunez Oscar; Saurina Javier; Hernandez-Cassou Santiago; Puignou Lluis;

  • 作者单位

    Univ Barcelona, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, E-08028 Barcelona, Spain;

    Univ Barcelona, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, E-08028 Barcelona, Spain;

    Univ Barcelona, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, E-08028 Barcelona, Spain;

    Univ Barcelona, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, E-08028 Barcelona, Spain;

    Univ Barcelona, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, E-08028 Barcelona, Spain|Univ Barcelona, Res Inst Food Nutr & Food Safety, Recinte Torribera, Ave Prat Riba 171,Edifici Recerca Gaudi, E-08921 Barcelona, Spain|Generalitat Catalunya, Barcelona, Spain;

    Univ Barcelona, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, E-08028 Barcelona, Spain|Univ Barcelona, Res Inst Food Nutr & Food Safety, Recinte Torribera, Ave Prat Riba 171,Edifici Recerca Gaudi, E-08921 Barcelona, Spain;

    Univ Barcelona, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, E-08028 Barcelona, Spain|Univ Barcelona, Res Inst Food Nutr & Food Safety, Recinte Torribera, Ave Prat Riba 171,Edifici Recerca Gaudi, E-08921 Barcelona, Spain;

    Univ Barcelona, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, E-08028 Barcelona, Spain|Univ Barcelona, Res Inst Food Nutr & Food Safety, Recinte Torribera, Ave Prat Riba 171,Edifici Recerca Gaudi, E-08921 Barcelona, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    High performance liquid chromatography; UV-detection; Polyphenols; Principal component analysis; Partial least square regression; Food authentication;

    机译：高效液相色谱;紫外检测;多酚;主成分分析;偏最小二乘回归;食品认证;

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