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Use of otolith-shape analysis for stock discrimination of Boops boops along the Algerian coast (southwestern Mediterranean Sea) ArchiMer
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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A Multi-Elements Isotope Approach to Assess the Geographic Provenance of Manila Clams (Ruditapes philippinarum) via Recombining Appropriate Elements ArchiMer
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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Evaluation of an electronic nose system for characterization of pomegranate varieties CIGR Journal
Sanaeifar, Alireza; Mohtasebi, Seyed Saeid; Ghasemi-Varnamkhasti, Mahdi; Mohammad Shafie, Mohammad.
The electronic nose (e-nose) would simulate the human sense (smell) to identify and realize the complex aromas by employing a chemical sensors array. One of the most common sensors used in electronic nose systems are metal oxide semiconductor (MOS) sensors. In this research, a low cost e-nose system based on six metal oxide semi-conductor (MOS) sensors as a non-destructive instrument for recognition pomegranate varieties is investigated. Principal component analysis (PCA) and linear discriminant analysis (LDA) techniques are used for this purpose. The proposed e-nose has a capability of demonstrating a clear difference in aroma fingerprint of pomegranate by PCA and LDA analysis. Using LDA analysis, it is possible to identify and to categorize the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Electronic nose; Linear discriminant analysis; Non-destructive; Pomegranate; Principal component analysis.
Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3799
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Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins Chilean J. Agric. Res.
Corbella,Eduardo; Cozzolino,Daniel.
This study reports the combination of multivariate techniques and pollen count analysis to classify honey samples accordingly to botanical sources, in samples from Uruguay. Honey samples from different botanical origins, namely Eucalyptus spp. (n = 10), Lotus spp. (n = 12), Salix spp. (n = 5), “mil flores” (Myrtaceae spp.) (n = 12) and coronilla (Scutia buxifolia Reissek) (n = 10) were analysed using Melissopalynology (pollen identification). Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to classify the honey samples accordingly to their botanical origin based on a pollen count. Honey samples of higher percentage (> 70%) of Eucalyptus, Lotus and Scutia pollen were 100% correctly classified, whilst samples from...
Tipo: Journal article Palavras-chave: Honey; Uruguay; Principal component analysis; Linear discriminant analysis; Pollen analysis.
Ano: 2008 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392008000100010
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