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结合稳定同位素数据和多元分析中的类胡萝卜素含量,对意大利沿海地区的特级初榨橄榄油进行地理判别。

Geographical discrimination of extra-virgin olive oils from the Italian coasts by combining stable isotope data and carotenoid content within a multivariate analysis.

机构信息

Istituto di Biologia Agroambientale e Forestale, Consiglio Nazionale delle Ricerche, 05010 Porano (TR), Italy.

Istituto di Biologia Agroambientale e Forestale, Consiglio Nazionale delle Ricerche, 05010 Porano (TR), Italy.

出版信息

Food Chem. 2017 Jan 15;215:1-6. doi: 10.1016/j.foodchem.2016.07.135. Epub 2016 Jul 25.

Abstract

We have determined the isotopic composition and the carotenoid contents of 38 extra-virgin olive oils (EVOOs) from seven regions along the Italian coasts, by means of isotope ratio mass spectrometry (IRMS) and resonant Raman spectroscopy (RRS), respectively. The application of linear discriminant analysis to our overall results demonstrated the combination of isotope and carotenoid data is a promising method to discriminate EVOOs from production sites that are impacted by similar geographical and climatic parameters. In particular, this dual approach allowed correct classification of 82% EVOO samples, while separate IRMS and RRS investigations were able to discriminate only samples from Sicily and Latium, respectively.

摘要

我们使用同位素比质谱法(IRMS)和共振拉曼光谱法(RRS)分别测定了来自意大利沿海七个地区的 38 种特级初榨橄榄油(EVOO)的同位素组成和类胡萝卜素含量。线性判别分析在我们的整体结果中的应用表明,将同位素和类胡萝卜素数据相结合是一种有前途的方法,可以区分来自受类似地理和气候参数影响的生产地的 EVOO。特别是,这种双重方法能够正确分类 82%的 EVOO 样品,而单独的 IRMS 和 RRS 研究分别只能区分西西里岛和拉齐奥的样品。

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