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应用同位素和元素指纹图谱鉴定中国羊奶的地理来源。

Application of isotopic and elemental fingerprints in identifying the geographical origin of goat milk in China.

机构信息

State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

出版信息

Food Chem. 2019 Mar 30;277:448-454. doi: 10.1016/j.foodchem.2018.10.144. Epub 2018 Nov 2.

Abstract

In the study, the samples of goat milk, feed, soil and drinking water were firstly collected from nine farms of three provinces in China, the stable isotopic ratios (δC, δN, δH and δO) in casein, lipid of milk, feed, and drinking water and the contents of 11 elements in milk and soil were determined. Statistical analysis indicated that except the content of Zn, other variables in milk showed significant differences among two or three regions. Significant correlations were found for δC between casein and lipid (r = 0.953, P < 0.05) and for δH between casein and milk water (r = 0.816, P < 0.05). The δH and δO in casein and milk water were identical to that in corresponding drinking water. Finally, seven key variables (δN, δO, Ni, Se, Rb, Sr and Ba) were selected by stepwise canonical discriminant analysis and the correct classification rate reached 100%.

摘要

本研究首先从中国三个省份的九个农场采集了羊奶、饲料、土壤和饮用水样本,测定了乳清蛋白、牛奶脂质、饲料和饮用水中的稳定同位素比值(δC、δN、δH 和 δO)以及牛奶和土壤中 11 种元素的含量。统计分析表明,除锌含量外,牛奶中的其他变量在两个或三个地区之间存在显著差异。乳清蛋白和脂质之间的 δC(r=0.953,P<0.05)和乳清蛋白和乳清之间的 δH(r=0.816,P<0.05)之间存在显著相关性。乳清蛋白和乳清中的 δH 和 δO 与相应饮用水中的一致。最后,通过逐步典范判别分析选择了 7 个关键变量(δN、δO、Ni、Se、Rb、Sr 和 Ba),正确分类率达到 100%。

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