Literature DB >> 30074644

Discrimination of the geographic origin of pork using multi-isotopes and statistical analysis.

Woo-Jin Shin1, Seung-Hyun Choi1, Jong-Sik Ryu1, Byeong-Yeol Song2, Joo-Hyun Song2, Sanghee Park1, Ji-Sook Min2.   

Abstract

RATIONALE: While global pork production has grown exponentially in recent decades to 109 Mt in 2010, methods aimed at verifying the geographic origin of pork products have yet to be thoroughly investigated. Here, we analyzed pork samples available in South Korea in order to discriminate their geographic origin.
METHODS: A total of the 37 pork samples originated from South Korea and other countries (Denmark, Germany, France, Spain, Canada and Mexico) were collected in order to classify their geographic origins using multi-isotope ratios, such as δ18 O, δ2 H, δ13 C, δ15 N values measured by IRMS, 87 Sr/86 Sr ratios measured by MC-ICP-MS, and multivariate statistical approaches.
RESULTS: There is a wide range of 87 Sr/86 Sr ratios in the pork samples, varying from 0.70779 to 0.71245, due to the lithology where the pork was raised. Canadian samples displayed the lowest δ18 O and δ2 H values mainly due to the latitude effect. Furthermore, the δ13 C values of European and Canadian samples were lower than those of Korean and Mexican samples, depending on whether the feed was composed of either C3 or C4 plants. The δ15 N values of the European and Canadian samples were much higher than those of the other samples, possibly resulting from the δ15 N values of the feed.
CONCLUSIONS: While differences in pork samples were observed that depended on geographic origin, this study suggests that more detailed investigations are needed to validate whether a combination of multi-isotope and multivariate statistical approaches is a valid method for determining the geographic origin of pork.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Year:  2018        PMID: 30074644     DOI: 10.1002/rcm.8251

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  2 in total

1.  Dietary homogenization and spatial distributions of carbon, nitrogen, and sulfur isotope ratios in human hair in South Korea.

Authors:  Han-Seul Lee; Ji-Yu Shim; Woo-Jin Shin; Seung-Hyun Choi; Yeon-Sik Bong; Kwang-Sik Lee
Journal:  PLoS One       Date:  2021-08-20       Impact factor: 3.240

2.  Spatial Fingerprinting: Horizontal Fusion of Multi-Dimensional Bio-Tracers as Solution to Global Food Provenance Problems.

Authors:  Kevin Shear Cazelles; Tyler Stephen Zemlak; Marie Gutgesell; Emelia Myles-Gonzalez; Robert Hanner; Kevin Shear McCann
Journal:  Foods       Date:  2021-03-28
  2 in total

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