首页> 美国卫生研究院文献>International Journal of Molecular Sciences >In-Depth Two-Year Study of Phenolic Profile Variability among Olive Oils from Autochthonous and Mediterranean Varieties in Morocco as Revealed by a LC-MS Chemometric Profiling Approach
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In-Depth Two-Year Study of Phenolic Profile Variability among Olive Oils from Autochthonous and Mediterranean Varieties in Morocco as Revealed by a LC-MS Chemometric Profiling Approach

机译:LC-MS化学计量分析方法揭示了对摩洛哥本地和地中海品种橄榄油中酚类分布变化的深入研究为期两年

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摘要

Olive oil phenolic fraction considerably contributes to the sensory quality and nutritional value of this foodstuff. Herein, the phenolic fraction of 203 olive oil samples extracted from fruits of four autochthonous Moroccan cultivars (“Picholine Marocaine”, “Dahbia”, “Haouzia” and “Menara”), and nine Mediterranean varieties recently introduced in Morocco (“Arbequina”, “Arbosana”, “Cornicabra”, “Frantoio”, “Hojiblanca”, “Koroneiki”, “Manzanilla”, “Picholine de Languedoc” and “Picual”), were explored over two consecutive crop seasons (2012/2013 and 2013/2014) by using liquid chromatography-mass spectrometry. A total of 32 phenolic compounds (and quinic acid), belonging to five chemical classes (secoiridoids, simple phenols, flavonoids, lignans and phenolic acids) were identified and quantified. Phenolic profiling revealed that the determined phenolic compounds showed variety-dependent levels, being, at the same time, significantly affected by the crop season. Moreover, based on the obtained phenolic composition and chemometric linear discriminant analysis, statistical models were obtained allowing a very satisfactory classification and prediction of the varietal origin of the studied oils.
机译:橄榄油中的酚类成分极大地有助于该食品的感官品质和营养价值。在此,从四个土生摩洛哥品种(“ Picholine Marocaine”,“ Dahbia”,“ Haouzia”和“ Menara”)以及最近在摩洛哥引入的九个地中海品种(“ Arbequina”,在连续两个作物季节(2012/2013和2013/2014)中探索了“ Arbosana”,“ Cornicabra”,“ Frantoio”,“ Hojiblanca”,“ Koroneiki”,“ Manzanilla”,“ Picholine de Languedoc”和“ Picual”)。 ),使用液相色谱-质谱法。总共鉴定和定量了32种酚类化合物(和奎宁酸),它们属于5个化学类别(类豆油,简单酚,类黄酮,木脂素和酚酸)。酚类分析显示,所测定的酚类化合物显示出依赖于品种的水平,同时,该水平也受到作物季节的显着影响。此外,基于获得的酚类成分和化学计量线性判别分析,获得了统计模型,可以对研究的油的品种起源进行非常令人满意的分类和预测。

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