Discrimination the geographical origin of Yanchi Tan Lamb with different muscle sections by stable isotopic ratios and elemental profiles
文献类型： 外文期刊
作者： Liu, Hongyan 1 ; Qin, Yuchang 2 ; Ma, Qing 4 ; Zhao, Qingyu 2 ; Guo, Xiaoqing 2 ; Ma, Lina 4 ; Gou, Chunlin 5 ; Xia, Yu 1 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Urban Agr, Chengdu 610213, Peoples R China
2.Chinese Acad Agr Sci, Inst Anim Sci, State Key Lab Anim Nutr, Beijing 100193, Peoples R China
3.Chinese Acad Agr Sci, Inst Anim Sci, Sci Observing & Expt Stn Anim Genet Resources & N, Minist Agr & Rural Affairs, Beijing 100193, Peoples R China
4.Ningxia Acad Agr & Forestry Sci, Inst Anim Sci, Yinchuan 75002, Ningxia, Peoples R China
5.Inst Qual Stand & Testing Technol Agroprod NingXi, Yinchuan 750002, Ningxia, Peoples R China
6.Chengdu Univ, Coll Food & Biol Engn, 2025 Chengluo Ave, Chengdu 610106, Peoples R China
关键词： Authentication; chemometrics; fingerprints; geographical discrimination; minerals; stable isotopes
期刊名称：INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY （ 影响因子：3.713； 五年影响因子：3.408 ）
ISSN： 0950-5423
年卷期：
页码：
收录情况： SCI
摘要： In the study, lamb, feed and soil samples were collected from three regions of China in the year 2017 and 2018. The delta C-13 and delta N-15 values in lamb (defatted dry mass and lipids) and grass and the contents of nine elements in lamb, grass and soil were determined. The results indicated that except for Fe, Zn and Rb, most variables of lamb showed significant differences among two or three regions, and the contents of Fe, Sr and Cs showed significant differences between two years, and the contents of Cu and Zn showed significant differences among different muscle sections. Besides, significant correlations were found for delta C-13 between defatted lamb and lipid (r(2) = 0.973, P < 0.05) and for the element contents between lamb and soil. Finally, four key variables delta C-13, delta N-15, Sr and Mo were selected through stepwise canonical discriminant analysis with the cross-validation correct classification rate of 99.1%.
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