Camin Federica, Wietzerbin Karine, Cortes Anaisabel Blanch, Haberhauer Georg, Lees Michéle, Versini Giuseppe
Laboratorio di Analisi e Ricerche, Istituto Agrario di San Michele all'Adige, via E. Mach 1, 38010 S. Michele all'Adige, Trento, Italy.
J Agric Food Chem. 2004 Oct 20;52(21):6592-601. doi: 10.1021/jf040062z.
The stable isotope ratios (delta13C, delta15N, and delta34S of casein and delta13C and delta18O of glycerol) measured by IRMS of French, Italian, and Spanish cheeses are presented and discussed. Variability factors such as animal-feeding regimen, geographical origin, and climatic and seasonal conditions were studied to check the possibilities of cheese characterization offered by each isotopic parameter. Delta13C values of both casein and glycerol appeared to be strongly correlated to the amount of maize in the animal diet. Delta15N and delta34S of casein proved to be mostly influenced by the geoclimatic conditions of the area (aridity, closeness to the sea, altitude). Delta18O of glycerol was more dependent on the geographical origin of the cheeses and on climatic/seasonal parameters. By applying a multivariate stepwise canonical discriminant analysis, good discrimination possibilities for the different European cheeses were obtained, confirmed by the classification analysis, when >90% of the samples were correctly reclassified.
本文展示并讨论了通过同位素比率质谱仪（IRMS）测定的法国、意大利和西班牙奶酪的稳定同位素比率（酪蛋白的δ¹³C、δ¹⁵N和δ³⁴S以及甘油的δ¹³C和δ¹⁸O）。研究了动物饲养方式、地理来源以及气候和季节条件等可变因素，以检验每个同位素参数用于奶酪特征化的可能性。酪蛋白和甘油的δ¹³C值似乎与动物饮食中玉米的含量密切相关。酪蛋白的δ¹⁵N和δ³⁴S主要受该地区地球气候条件（干旱程度、与海的距离、海拔）的影响。甘油的δ¹⁸O更多地取决于奶酪的地理来源以及气候/季节参数。通过应用多元逐步典型判别分析，对不同欧洲奶酪获得了良好的判别可能性，经分类分析证实，当超过90%的样品被正确重新分类时。
