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Zhao Y.,Chinese Academy of Agricultural Sciences | Zhao Y.,Key Laboratory of Agro product Quality and Safety | Zhang B.,Henan University of Science and Technology | Guo B.,Northwest University, China | And 4 more authors.
CYTA - Journal of Food | Year: 2015

The establishment of appropriate analytical methods to authenticate the geographic origin of poultry meat independent of paper record becomes especially important nowadays. In this study, data were analyzed in terms of both the contents of two stable isotopes (C and N) and 12 mineral elements of chicken samples from four provinces to trace their geographical origin. The results showed that classification of chicken was improved by combining both types of data, as compared to that using the mineral element data alone. The present study demonstrates that it is possible to indicate the poultry origin by applying stable isotope and multi-element analysis, which is an effective tool to trace the geographic origin of poultry. © 2015 The Author(s). Published by Taylor & Francis. Source


Zhao Y.,Chinese Academy of Agricultural Sciences | Zhao Y.,Key Laboratory of Agro product Quality and Safety | Wang D.,Chinese Academy of Agricultural Sciences | Wang D.,Key Laboratory of Agro product Quality and Safety | And 2 more authors.
Meat Science | Year: 2016

Dietary composition and rearing regime largely determine the trace elemental composition of pigs, and consequently their concentration in animal products. The present study evaluates thirteen macro- and trace element concentrations in pork from organic and conventional farms. Conventional pigs were given a commercial feed with added minerals; organic pigs were given a feed based on organic feedstuffs. The content of macro-elements (Na, K, Mg and Ca) and some trace elements (Ni, Fe, Zn and Sr) in organic and conventional meat samples showed no significant differences (P > 0.05). Several trace element concentrations in organic pork were significantly higher (P < 0.05) compared to conventional pork: Cr (808 and 500 μg/kg in organic and conventional pork, respectively), Mn (695 and 473 μg/kg) and Cu (1.80 and 1.49 mg/kg). The results showed considerable differences in mineral content between samples from pigs reared in organic and conventional systems. Our results also indicate that authentication of organic pork can be realized by applying multivariate chemometric methods such as discriminant analysis to this multi-element data. © 2016 Elsevier Ltd. Source


Zhao Y.,Chinese Academy of Agricultural Sciences | Zhao Y.,Key Laboratory of Agro product Quality and Safety | Zhang B.,Henan University of Science and Technology | Chen G.,Chinese Academy of Agricultural Sciences | And 7 more authors.
Journal of Agricultural and Food Chemistry | Year: 2013

The potential for classifying beef samples on the basis of their geographical origin was investigated by stable isotope and multielement analysis using samples from various provinces in China. C and N isotope composition and the concentrations of 23 elements of the defatted beef samples were determined. It was shown that as compared to the Tibet beef fed predominantly on C 3 pasture, maize-fed beef produced in Shandong and Heilongjiang province gave rise to a significant difference in 13C content. Significant differences were also observed in 18 elements among the defatted beef samples. Stable isotope data and multielement concentrations determined in the beef were subjected to multivariate analysis, including principal component analysis (PCA) and discriminant analysis (DA). Eight key variables were identified as providing maximum discrimination among samples. DA gave an overall correct classification rate of 100% and a cross-validation rate of 100%. This research has proved that the geographical origin of beef in China can be identified by a combination of stable isotopes and multielement analysis. © 2013 American Chemical Society. Source


Zhao Y.,Chinese Academy of Agricultural Sciences | Zhao Y.,Key Laboratory of Agro product Quality and Safety | Zhang B.,Henan University of Science and Technology | Chen G.,Chinese Academy of Agricultural Sciences | And 7 more authors.
Food Chemistry | Year: 2014

With the globalisation of agro-product markets and convenient transportation of food across countries and continents, the potential for distribution of mis-labelled products increases accordingly, highlighting the need for measures to identify the origin of food. High quality food with identified geographic origin is a concern not only for consumers, but also for agriculture farmers, retailers and administrative authorities. Currently, stable isotope ratio analysis in combination with other chemical methods gradually becomes a promising approach for agro-product authenticity and traceability. In the last five years, a growing number of research papers have been published on tracing agro-products by stable isotope ratio analysis and techniques combining with other instruments. In these reports, the global variety of stable isotope compositions has been investigated, including light elements such as C, N, H, O and S, and heavy isotopes variation such as Sr and B. Several factors also have been considered, including the latitude, altitude, evaporation and climate conditions. In the present paper, an overview is provided on the authenticity and traceability of the agro-products from both animal and plant sources by stable isotope ratio analysis. © 2013 Elsevier Ltd. All rights reserved. Source


Chen T.,Chinese Academy of Agricultural Sciences | Chen T.,Key Laboratory of Agro product Quality and Safety | Zhao Y.,Chinese Academy of Agricultural Sciences | Zhao Y.,Key Laboratory of Agro product Quality and Safety | And 6 more authors.
Food Chemistry | Year: 2016

Trying to explore a new research angle to increase the resolution and accessibility of isotopic based traceability technique, light stable isotopes (δ13C, δ15N, δD and δ18O) in the superior (SS) and inferior (IS) grains of a rice cultivar Daohuaxiang were analyzed with relatively limited sample numbers and adjacent sites in Fujin and Wuchang, Heilongjiang Province, PR China. Distribution of δ13C, δ15N and δ18O in the SS and IS grains were found to be different. δ18O and δD can discriminate rice cultivation areas. However, δ13C and δ15N values in Fujin and Wuchang overlapped when the differences between SS and IS were considered, thus δ13C and δ15N cannot be used to discriminate cultivation areas. This exploratory study indicate the variation of the light stable isotopes in the grains located on different panicle positions could be used to discriminate the geographical origin but still need further systematic consideration and verification. © 2016 Elsevier Ltd. All rights reserved. Source

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