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Authentication of the geographical origin of virgin olive oils from the main worldwide producing countries: A new combination of HS-SPME-GC-MS analysis of volatile compounds and chemometrics applied to 1217 samples

机译:来自主要全球生产国家的初榨橄榄油的地理起源的认证:HS-SPME-GC-MS对挥发性化合物和化学物质分析的新组合,应用于1217个样品

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摘要

Authentication of geographical origin of virgin olive oils is necessary to protect consumer and producers from frauds. A method able to classify virgin olive oils from the main worldwide producing countries is still missing. In this work, we developed 3 chemometric approaches for classification of virgin olive oils from Italy, Spain, Greece, Portugal, Tunisia and other countries all over the world. The approaches were developed starting from a data-set containing fatty acid composition and the amount of 72 volatile compounds, evaluated by a never applied HS-SPME-GC-MS quantitation method, of 1217 oil samples from three different olive oil campaign. The approach that gave the best predictive results is based on Linear Discriminant Analysis run on quantitative data from only 25 volatile compounds selected by one-way ANOVA as the most capable in discriminating between the diverse origins. The method was built and intemally validated using a training-set of 1000 samples and externally validated with a test-set of 217 independent samples. The method was able to classify the geographical origin of 94.5% samples, with a percentage of correct classification even higher than 97% for some origins. Preliminary studies also suggested the proposed approach is able to correctly classify the geographical origin of binary mixtures of oils from different origins. The approach proposed in this manuscript is easily applicable in testing laboratories and represents a very useful tool for the olive oil field, helping in protecting consumers and producers from frauds.
机译:初榨橄榄油的地理来源的认证是保护消费者和生产者免受欺诈所必需的。一种能够从全球主要生产国家的初级橄榄油进行分类的方法仍然缺失。在这项工作中,我们开发了3种化学计量方法,用于从意大利,西班牙,希腊,葡萄牙,突尼斯和世界各地的其他国家进行初榨橄榄油分类。从含有脂肪酸组合物的数据套和72挥发性化合物的量开始,通过从未施加的HS-SPME-GC-MS定量方法评价的含有72种来自三种不同的橄榄油运动的脂肪酸组合物的量开发的方法。给出了最佳预测结果的方法是基于线性判别分析,仅由单向ANOVA选择的25个挥发性化合物的定量数据运行,作为最能区分不同的起源。使用1000个样本的训练组建立和内部构建和内部验证,并用测试集的217个独立样品进行外部验证。该方法能够将94.5%样本的地理来源分类,甚至超过97%的百分比对于某些问题。初步研究还提出了所提出的方法能够正确地分类来自不同起源的二元混合物的地理来源。本手稿中提出的方法很容易适用于测试实验室,代表橄榄油场的一个非常有用的工具,有助于保护消费者和生产者免受欺诈。

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