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Determination of geographical origin of commercial tomato through analysis of stable isotopes, elemental composition and chemical markers

机译:通过分析稳定同位素,元素组成和化学标记来确定商业番茄的地理来源

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摘要

In recent years, the geographical authentication of different agro-products, including vegetables, has gained an increasing amount of attention. This study investigated different approaches, both independently and in combination, to assign the country of origin to commercial tomato samples from Slovenia, Italy, Spain and Morocco. To create a model for their traceability, three sets of parameters were used: stable isotopes of the major bioelements (delta C-13, delta N-15, delta O-18, delta S-34), macro and micro elements (P, K, Ca, S, Cl, Zn, Br, Rb, Sr), and chemical markers (total antioxidant potential, total phenolic compounds, ascorbic acid, lutein, nitrates and nitrites, ammonium). The data obtained were analysed using the supervised pattern-recognition technique of multivariate discriminant analysis. The statistical analysis based on leave-one-out cross-validation revealed that the best overall success rate was achieved when using either the combination of all three sets of parameters, or only the elemental content data. In both cases, correct classification was obtained for 80% of the samples. Moreover, the present study highlights the first characterisation and classification of commercial tomato samples using the combination of the methodologies proposed. (C) 2017 Elsevier Ltd. All rights reserved.
机译:近年来,不同农产品的地理认证,包括蔬菜,越来越大的关注。本研究调查了独立和组合的不同方法,将原产国分配给斯洛文尼亚,意大利,西班牙和摩洛哥的商业番茄样本。为了为其可追溯性创建模型,使用了三组参数:主要生物元素的稳定同位素(Delta C-13,Delta N-15,Delta O-18,Delta S-34),宏观和微观元素(P, K,Ca,S,Cl,Zn,Br,Rb,Sr)和化学标志物(总抗氧化势,总酚类化合物,抗坏血酸,叶黄素,硝酸盐和亚硝酸盐)。利用多元判别分析的监督模式识别技术分析所获得的数据。基于休假交叉验证的统计分析显示,使用所有三组参数的组合或仅元素内容数据的组合时,实现了最佳总体成功率。在这两种情况下,获得了80%的样品的正确分类。此外,本研究强调了使用所提出的方法的组合来突出商业番茄样本的第一次表征和分类。 (c)2017 Elsevier Ltd.保留所有权利。

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