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Won, Eun-ji; Kim, Seung Hee; Go, Young-shin; Kumar, K. Suresh; Kim, Min-seob; Yoon, Suk-hee; Bayon, Germain; Kim, Jung-hyun; Shin, Kyung-hoon. |
The increasing global consumption of seafood has led to increased trade among nations, accompanied by mislabeling and fraudulent practices that have rendered authentication crucial. The multi-isotope ratio analysis is considered as applicable tool for evaluating geographical authentications but requires information and experience to select target elements such as isotopes, through a distinction method based on differences in habitat and physiology due to origin. The present study examined recombination conditions of multi-elements that facilitated geographically distinct classifications of the clams to sort out appropriate elements. Briefly, linear discriminant analysis (LDA) analysis was performed according to several combinations of five stable isotopes... |
Tipo: Text |
Palavras-chave: Authentication; Manila clam; Stable isotope; Traceability; Linear discriminant analysis. |
Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00685/79701/82488.pdf |
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Ider, D.; Ramdane, Z.; Mahe, Kelig; Dufour, Jean-louis; Bacha, M.; Amara, R.. |
Otolith-shape analysis was examined to determine its utility for biological stock identification of the bogue Boops boops along the Algerian coast of the Mediterranean Sea. The outlines of 179 sagittal otolith pairs from fish collected at three locations (Oran, Bejaia and Annaba) between 2013 and 2016 were digitised and analysed for shape variation by elliptical Fourier analysis. Potential confounding sources of variation (fish length, age and sex, and left or right otolith position) were examined and accounted for in the analyses before interpretation of spatial differences in distribution of the stock. Redundancy analysis showed a significant difference between the left and right otoliths. No difference was correlated with sex and age, but fish length... |
Tipo: Text |
Palavras-chave: Biological stocks; Elliptical Fourier analysis; Image analysis; Linear discriminant analysis; Marine fish; Principal components analysis; Sex differences. |
Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00409/52075/52855.pdf |
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