Multi-element analysis for determining the geographical origin of mutton from different regions of China

被引:92
作者
Sun, Shumin [1 ,2 ]
Guo, Boli [1 ]
Wei, Yimin [1 ]
Fan, Mingtao [2 ]
机构
[1] Chinese Acad Agr Sci, Key Lab Agr Prod Proc & Qual Control, Minist Agr, Inst Agrofood Sci & Technol, Beijing 100193, Peoples R China
[2] NW A&F Univ, Coll Food Sci & Engn, Yangling 712100, Peoples R China
基金
中国国家自然科学基金;
关键词
Mutton; Multi-elements; Geographical origin; Authentication; ELEMENT SIGNATURE ANALYSIS; DRIED BEEF; POULTRY MEAT; AUTHENTICITY; ISOTOPE; CLASSIFICATION; TRACEABILITY; HONEY; FOOD;
D O I
10.1016/j.foodchem.2010.07.027
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Elemental fingerprints were investigated for their potential to classify mutton samples according to their geographical origin. The concentration of 25 element contents in 99 mutton samples from three pastoral regions and two agricultural regions of China were analysed by ICP-MS. Multivariate statistical analysis including principal component analysis (PCA) and linear discriminate analysis (LDA) were used for this purpose. Twenty-one elements (Be, Na, Al, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Ag, Sb, Ba, TI, Pb, Th and U) in de-fatted mutton showed significant differences (p < 0.05). LDA gave an overall correct classification rate of 93.9% and cross-validation rate of 88.9%. Furthermore, mutton samples from agricultural regions and pastoral regions were differentiated with 100% accuracy. These results demonstrate the usefulness of multi-element fingerprints as indicators for authenticating the geographical origin of mutton in China. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1151 / 1156
页数:6
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