Determination of Elemental Content in Vineyard Soil, Leaves, and Grapes of Sangiovese Grapes from the Chianti Region Using ICP-MS for Geographical Identification

IF 2.6 Q2 FOOD SCIENCE & TECHNOLOGY

ACS food science & technology Pub Date : 2024-10-28 DOI:10.1021/acsfoodscitech.4c0023110.1021/acsfoodscitech.4c00231

Raffaello Nardin*, Gabriella Tamasi*, Michele Baglioni, Flavia Bisozzi, Marco Consumi, Jessica Costa, Giacomo Fattori, Cristiana Tozzi, Angelo Riccaboni and Claudio Rossi,

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Abstract

To fight counterfeits and to protect the consumer, the interest in certifying the origin of agricultural goods has been steadily growing in the last years. While numerous works focus on the finished product, an aspect often overlooked is the origin of the raw materials and the direct correlation between chemicals in the soil and the plants. With inductively coupled plasma mass spectrometry (ICP-MS) analysis, trace and ultratrace elements in Sangiovese grapes (the main component of Chianti wine) were measured and their levels were used to investigate the geographical origin of the samples. This was achieved despite the extreme closeness of some of the vineyard partners of this study (10–20 km range) by computing a multivariate model using selected elements as levels. The model was then validated on samples coming from different zones of the Chianti area, with good results for discriminating even extremely close regions.

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利用 ICP-MS 测定基安蒂地区桑娇维塞葡萄园土壤、叶片和葡萄中的元素含量以进行地理鉴定

为了打击假冒伪劣产品和保护消费者，近几年来，人们对农产品原产地认证的兴趣一直在稳步增长。虽然许多工作都侧重于成品，但往往忽略了原材料的来源以及土壤中的化学物质与植物之间的直接关系。通过电感耦合等离子体质谱法（ICP-MS）分析，测量了桑娇维塞葡萄（基安蒂葡萄酒的主要成分）中的痕量和超痕量元素，并利用其含量调查了样品的地理来源。尽管本研究中的一些葡萄园合作伙伴距离非常近（10-20 公里），但还是通过使用选定的元素水平计算多元模型实现了这一目的。随后，对来自基安蒂地区不同区域的样本进行了验证，结果显示，即使距离极近的区域，该模型也能很好地进行区分。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS food science & technology

CiteScore

3.30

自引率

0.00%

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