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Influence of harvest year, cultivar and geographical origin on Greek extra virgin olive oils composition: A study by NMR spectroscopy and biometric analysis

机译:收获年份,品种和地理起源对希腊特级初榨橄榄油成分的影响:NMR光谱和生物特征分析的研究

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摘要

Two hundred twenty-one extra virgin olive oils (EVOO) were extracted from four olive mono-cultivars (Koroneiki, Tsounati, Adramitini, and Throubolia) originated from four divisions of Greece (Peloponnesus, Crete, Zakynthos, and Lesvos) and collected in five harvesting periods (2002-2006 and 2007-2008). All samples were chemically analysed by means of ~1H and ~(31)P NMR spectroscopy and characterised according to their content in fatty acids, phenolic compounds, diacylglycerols, total free sterols, free acidity, and iodine number. The influence of cultivars on the compositional data of the EVOO samples according to harvest year and geographical origin was examined by means of the forward stepwise canonical discriminant analysis (CDA) and classification binary trees (CBT). The CDA, when the a priori grouping was in accordance with harvest, was high (94%), whereas the classification in terms of groups formed by inclusions of geographical origin was reduced to 85%, Inclusion of both the harvesting year and geographical origin in the COA analysts resulted in a high classification (90%) for the EVOO samples grouped into the four cultivars. The variables that most satisfactorily classified the Greek olive oils were the phenolics p-coumaric acid, pinoresinol, 1-acetoxypinoresinol, syringaresinol, luteolin, apigenin, and the hydrolysis products of oleuropein expressed collectively by the concentration of total hydroxytyrosol. Amongst the fatty acids, linoleic acid was the predictor with the highest discriminatory power. Finally, the phylo-genetic significance of the olive oil compounds as determined by NMR was investigated by estimating their support to monophyly of cultivars.
机译:从来自希腊四个区(伯罗奔尼撒半岛,克里特岛,扎金索斯州和莱斯沃斯州)的四个橄榄单品种(Koroneiki,Tsounati,Adramitini和Throubolia)中提取了211种初榨橄榄油(EVOO),并进行了收集。收获期(2002-2006年和2007-2008年)。所有样品均通过〜1H和〜(31)P NMR光谱进行化学分析,并根据其在脂肪酸,酚类化合物,二酰基甘油,总游离甾醇,游离酸度和碘值中的含量进行表征。通过正向逐步规范判别分析(CDA)和分类二叉树(CBT),研究了品种对根据收获年和地理来源的EVOO样品组成数据的影响。当先验分组与收获一致时,CDA高(94%),而按地理来源包含组成的组的分类降低为85%,包括收获年份和地理来源在内的COA分析人员对分为四个品种的EVOO样品进行了高分类(90%)。最令人满意地分类为希腊橄榄油的变量是酚类对香豆酸,松脂醇,1-乙酰氧基松脂醇,丁香脂素醇,木犀草素,芹菜素,以及通过总羟基酪醇浓度共同表示的橄榄苦苷水解产物。在脂肪酸中,亚油酸是具有最高鉴别力的预测因子。最后,通过估计其对品种单亲性的支持,对通过NMR测定的橄榄油化合物的系统发生意义进行了研究。

著录项

  • 来源
    《Food Chemistry》 |2012年第4期|p.2561-2568|共8页
  • 作者单位

    NMR Laboratory, Department of Chemistry, University of Crete, P.O. Box 2208, Voutes Campus, 710 03 Heraklion, Crete, Greece;

    National Agricultural Research Foundation, Institute of Mediterranean Forest Research, Laboratory of Entomology, Terma Alkmanos, llissia, 115 28 Athens, Greece;

    NMR Laboratory, Department of Chemistry, University of Crete, P.O. Box 2208, Voutes Campus, 710 03 Heraklion, Crete, Greece;

  • 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

    NMR; olive oil; cultivar; chemometrics; monophyly;

    机译:NMR;橄榄油;品种化学计量学单方面的;

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