摘要翻译:
许多研究表明,地理产地是影响橄榄油选择的最主要因素之一。为避免误导,欧洲法规制定了具体规则,在产品标签上报告特级初榨橄榄油和初榨橄榄油的原产地,但尚未确定核实这一信息的官方分析程序。本文提出了一种非靶向气相色谱分析挥发性化合物的方法,并对化学计量学数据进行了分析,根据EVOOs和VOOs的地理来源(欧盟和欧盟外)来区分它们。对210个样本进行了分析,并使用了两种不同的分类技术,一种是线性分类技术,另一种是非线性分类技术。这两个模型也用一个外部数据集进行了验证。两种化学计量方法均获得了满意的结果:考虑PLS-DA,EU和EU外样品的正确分类率分别为89%和81%;ANN的阳性率分别为93%和89%。这些结果证实了该方法作为一种根据地理来源区分EVOOs和VOOs的快速方法的可靠性。
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英文标题:
《"Discrimination of virgin olive oils with different geographical origin:
a rapid untargeted chromatographic approach based on volatile compounds"》
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作者:
Rosa Palagano, Enrico Valli, Chiara Cevoli, Alessandra Bendini, Tullia
Gallina Toschi
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最新提交年份:
2020
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分类信息:
一级分类:Quantitative Biology 数量生物学
二级分类:Other Quantitative Biology 其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要:
Many studies have shown that the geographic origin is one of the most influencing factors in the choice of olive oil. To avoid misleading, European regulation has established specific rules to report the geographical origin of extra virgin and virgin olive oils on the product label, but an official analytical procedure to verify this information has not been yet defined. In this work, a flash gas chromatography untargeted approach for determination of volatile compounds, followed by a chemometric data elaboration, is proposed for discrimination of EVOOs and VOOs according to their geographical origin (EU and Extra-EU). A set of 210 samples was analyzed and two different classification techniques were used, one linear and one non-linear. The two models were also validated using an external data set. Satisfactory results were obtained for both chemometric approaches: considering the PLS-DA, 89% and 81% of EU and Extra-EU samples, respectively, were correctly classified; for ANN the percentages were 93% and 89%, respectively. These results confirm the reliability of the method as a rapid approach to discriminate EVOOs and VOOs according to their geographical provenance.
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PDF链接:
https://arxiv.org/pdf/2011.09273