Discrimination of geographical origin and species of China's cattle bones based on multi-element analyses by inductively coupled plasma mass spectrometry
文献类型： 外文期刊
作者： Zhang, Hongru 1 ; Liu, Wenyuan 1 ; Shen, Qingshan 1 ; Zhao, Laiyu 1 ; Zhang, Chunhui 1 ; Richel, Aurore 2 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Food Sci & Technol, Key Lab Agroprod Proc, Minist Agr & Rural Affairs, Beijing 100193, Peoples R China
2.Univ Liege Gembloux Agrobio Tech, Lab Biomass & Green Technol, Passage Deportes 2, B-5030 Gembloux, Belgium
3.Hulunbuir Muyuankangtai Biotechnol Co LTD, Arongqi Logist Business Pk, Hulunbuir Inner Mongolia 021000, Hulunbuir, Peoples R China
关键词： Geographical origin; Species; Cattle bone; Multi-element; ICP-MS; Discrimination
期刊名称：FOOD CHEMISTRY （ 影响因子：7.514； 五年影响因子：7.516 ）
ISSN： 0308-8146
年卷期： 2021 年 356 卷
页码：
收录情况： SCI
摘要： Consumers have an increasing concern in the provenance of the foods they consume. Methods for discriminating geographical origins and species of cattle bone product are essential to provide veracious information for consumers and avoid the adulteration and inferior problems. In this study, 50 element contents of a total of 143 cattle bone samples from eight producing regions in China, were determined by inductively coupled plasma mass spectrometry (ICP-MS). Element contents were used as chemical indicators to discriminate species and geographical origins of cattle bone samples by multivariate data analysis, including hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA). The K-fold cross validation accuracy for species and geographical origin discrimination was 99.3% and 94.5%, respectively. This study reveals that multi-element analysis accompanied by LDA is an effective technique to ensure the information reliability of cattle bone samples, and this strategy may be a potential tool for standardizing market.
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