Nardin Raffaello, Tamasi Gabriella, Baglioni Michele, Fattori Giacomo, Boldrini Amedeo, Esposito Rodolfo, Rossi Claudio
Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro 2, 53100 Siena, Italy.
Centre for Colloid and Surface Science (CSGI), University of Florence, Via Della Lastruccia 3, 50019 Sesto Fiorentino, Italy.
Foods. 2024 Dec 12;13(24):4017. doi: 10.3390/foods13244017.
To fight counterfeits, and to protect the consumer, the interest in certifying the origin of agricultural goods has been growing in recent years. In this context and to increase the accuracy of zoning models, multiple analytical techniques must be combined via a multivariate approach. During the sampling campaign, leaves and fruits (olives or drupes) were collected from multiple orchards and farms. By means of HPLC-DAD, metabolite levels were evaluated and combined with the trace and ultra-trace metal/metalloid levels evaluated by ICP-MS (QqQ). The combined dataset was then used to develop a model for geographical traceability. Furthermore, the mineral content of the soil, evaluated by means of ICP-MS, was correlated with both the mineral content in the leaves and drupes and the metabolomic profiles to further investigate the connection between the orchard's location and characteristics of the final products.
为打击假冒伪劣产品并保护消费者，近年来对农产品产地认证的关注度不断提高。在此背景下，为提高分区模型的准确性，必须通过多变量方法结合多种分析技术。在采样过程中，从多个果园和农场收集了树叶和果实（橄榄或核果）。通过高效液相色谱 - 二极管阵列检测器（HPLC - DAD）评估代谢物水平，并将其与通过电感耦合等离子体质谱仪（ICP - MS，四极杆 - 四极杆模式）评估的痕量和超痕量金属/类金属水平相结合。然后，使用合并后的数据集建立地理可追溯性模型。此外，通过ICP - MS评估的土壤矿物质含量与树叶、核果中的矿物质含量以及代谢组学谱相关联，以进一步研究果园位置与最终产品特性之间的联系。
