From soil to grape and wine: Variation of light and heavy elements isotope ratios

Distribution of YLOID in soil-grapevine system (Vitis vinifera L.) as tool for geographical characterization of agro-food products. A two years case study on different grafting combinations

“…In this context, the knowledge of one or more chemistry relationships between the soil and the agricultural products is an important tool for the quality assessment of food (Baroni et al, 2015;Drivelos & Georgiou, 2012;Durante et al, 2016;Gonzalvez, Armenta, & de la Guardia, 2009;Luykx & van Ruth, 2008;Marchionni et al, 2016;Reid, O'Donnell, & Downey, 2006;Zhao et al, 2013). Among the different techniques and compounds, or class of compounds, used to evidence these relationships, undoubtedly ICP-MS and trace elements have been exploited (Durante et al, 2015;Luykx & van Ruth, 2008;Reid et al, 2006).…”

δ15N from soil to wine in bulk samples and proline

“…The analytical uncertainty of the δ 15 N of bulk analysis for all the matrices, expressed as 2 * SR (within‐laboratory reproducibility standard deviation), was 0.4‰, whereas the reproducibility limit expressed as 2 * rad 2 * SR was 0.6‰.…”

“…Pre‐treatment of grape and wines was performed to remove as much water or/and ethanol as possible from the samples: 5 ml of sample was dehydrated or/and dealcoholized by using the freeze‐drying method …”

“…Pre-treatment of grape and wines was performed to remove as much water or/and ethanol as possible from the samples: 5 ml of sample was dehydrated or/and dealcoholized by using the freezedrying method. [24] EA-IRMS analysis of δ 15 N The δ 15 N value of the bulk samples was measured by using an elemental analyser (Flash EA 1112, Thermo Scientific, Bremen, Germany), equipped with an autosampler (Finningan AS 200, Thermo Scientific) and interfaced through a ConFlo IV dilutor device (Thermo Finningan, Bremen, Germany) with a DELTA V Thermo Scientific isotope ratio mass spectrometer.…”

Influence of Chemical and Physical Variables on 87Sr/86Sr Isotope Ratios Determination for Geographical Traceability Studies in the Oenological Food Chain

“…The obtained results showed that the 87 Sr/ 86 Sr ratio is not influenced by soil particle size and may represent an effective tool as a geographic provenance indicator for the investigated product.Beverages 2018, 4, 55 2 of 13 As a geographic food tracer, the most important feature of Sr is that this element is assimilated by the plant roots, and it has been shown that the isotopic ratio fingerprint, from the soil to the final product, remains almost unaltered (i.e., the isotopes do not undergo appreciable mass-dependent fractionation processes [16,17]). For a statistical approach to the geographical origin of food, a large dataset of precise and accurate values is needed in order to evaluate the indicator variability range of both the food and the soils and to build robust classification models [18].If, on the one hand, it is a quite simple task to collect isotopic ratios data for the food matrix, on the other hand, the interpretation of the data from the soil is complex [19][20][21]. In fact, depending on the geology of the territory, the 87 Sr/ 86 Sr ratio could vary considerably as a function of many variables difficult to evaluate a priori [22,23].…”