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Bontempo L.,IASMA Fondazione Edmund Machinery | Larcher R.,IASMA Fondazione Edmund Machinery | Camin F.,IASMA Fondazione Edmund Machinery | Holzl S.,Bavarian States Collection for Palaeontology and Geology | And 3 more authors.
International Dairy Journal | Year: 2011

Seven kinds of bovine milk cheese (Asiago, N=16; Fontina, N=16; Montasio, N=16; Puzzone, N=14; Spressa, N=15; Toma, N=16; Vezzena, N=16) produced in alpine and pre-alpine Italian areas are described using the isotopic ratios of C, N, O, S and Sr and the contents of 49 mineral elements. A multivariate discriminant analysis based on Ba, Ca, K, Mg, Rb, δ13Ccasein, δ15Ncasein and δ18Oglycerol correctly classified 94% of the 109 samples with a maximum of 100% in the case of Fontina and Puzzone, δ13Ccasein and δ13Cglycerol provided an estimation of the maize uptake in the animals' diet and Protected Designation of Origin protocol observance. © 2011 Elsevier Ltd. Source


Rummel S.,Bavarian States Collection for Palaeontology and Geology | Hoelzl S.,Bavarian States Collection for Palaeontology and Geology | Horn P.,Bavarian States Collection for Palaeontology and Geology | Rossmann A.,Isolab GmbH | Schlicht C.,Bavarian Health and Food Safety Authority
Food Chemistry | Year: 2010

Within the EU-project "Pure Juice" established stable isotope methods (δ2H, δ13C, δ15N) have been applied and improved in order to determine and verify the geographical origin of orange juices. In addition, new approaches employing analyses of δ34S and 87Sr/86Sr have been developed and tested. Approximately 150 authentic orange juice samples from several regions in North- and South-America, Africa and Europe have been analysed. A discrimination of orange producing regions, based on the results which ultimately depend on geographical, climatic and lithological differences was successfully performed. Furthermore, we demonstrate that blending of single strength juice by adding concentrate can be revealed by comparing 87Sr/86Sr of soluble and insoluble components of the juices. We conclude that regional assignment of orange juice samples is most successful when single parameters are combined in a "multi-element approach". © 2008 Elsevier Ltd. All rights reserved. Source

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