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首页> 外文期刊>Food Control >Comparative chemometric analysis of fluorescence and near infrared spectroscopies for authenticity confirmation and geographical origin of Argentinean extra virgin olive oils
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Comparative chemometric analysis of fluorescence and near infrared spectroscopies for authenticity confirmation and geographical origin of Argentinean extra virgin olive oils

机译：对荧光和近红外光谱法的对比化学计量分析，用于真实性确认和阿根廷特级初榨橄榄油的地理位置

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摘要

Extra virgin olive oil (EVOO) is widely used in gastronomy because of its healthy properties, and is a candidate to be adulterated with other vegetable oils to reduce costs. This work shows the results of applying near infrared (NIR) and fluorescence excitation-emission matrix spectroscopies, coupled to chemometric tools, to authenticate and validate the geographic origin of Argentinean EVOO samples. For each spectral data set, principal component analysis (PCA) was applied to both first-order NIR and second-order fluorescence data, partial least squares-discriminant analysis (PLS1-DA) to NIR data, and the multidimensional version of the latter (NPLS-DA) to fluorescence data. The results of the study of sixty EVOO samples of known and unknown registered designation of origin (RDO), as well as artificial samples adulterated with other edible oils, showed that: (1) fluorescence spectroscopy was unable to determine the RDO of all EVOO samples, in contrast to NIR (100% classified correctly), and (2) fluorescence data provide only slightly better results than NIR spectroscopy to detect EVOO adulterations with other vegetable edible oils.
机译：特级初榨橄榄油（Evoo）由于其健康的性质，广泛应用于美食，并且是候选人掺杂与其他植物油掺杂以降低成本。这项工作表明，临近红外线（NIR）和荧光激发 - 发射基质光谱的结果，耦合到化学计量工具，以验证和验证阿根廷EVOO样品的地理来源。对于每个光谱数据集，主要成分分析（PCA）应用于一阶NIR和二阶荧光数据，部分最小二乘判别分析（PLS1-DA）到NIR数据，以及后者的多维版本（ NPLS-DA）到荧光数据。研究原产地（RDO的未知登记名称和未知登记名称的60埃胡·样本的研究结果以及掺入其他可食用油的人造样品，表明：（1）荧光光谱无法确定所有Evoo样本的RDO与NIR相比（正确分类），（2）荧光数据仅提供比NIR光谱的稍好的结果，以检测与其他蔬菜可食用油的EVOO掺杂。

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