Efficiency of clustering methods and self-organizing maps of Adriatic sardines and anchovies regarding organochlorine and fatty acid burden.

Autor: Dučić I; Singidunum University, Danijelova 32, 11000, Belgrade, Serbia., Herceg Romanić S; Institute for Medical Research and Occupational Health, Ksaverska Cesta 2, PO Box 291, 10001, Zagreb, Croatia., Mustać B; Department of Ecology, Agronomy and Aquaculture, University of Zadar, Trg Kneza Višeslava 9, 23000, Zadar, Croatia., Mendaš G; Institute for Medical Research and Occupational Health, Ksaverska Cesta 2, PO Box 291, 10001, Zagreb, Croatia. gmendas@imi.hr., Đinović-Stojanović J; Institute of Meat Hygiene and Technology, Kaćanskog 13, 11 000, Belgrade, Serbia., Popović A; Faculty of Chemistry, University of Belgrade, Studentski Trg 12-16, 11000, Belgrade, Serbia., Jovanović G; Singidunum University, Danijelova 32, 11000, Belgrade, Serbia.; Institute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Pregrevica 118, 11080, Belgrade, Serbia.
Jazyk: angličtina
Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 May; Vol. 31 (21), pp. 30509-30518. Date of Electronic Publication: 2024 Apr 12.
DOI: 10.1007/s11356-024-33235-8
Abstrakt: The Adriatic Sea plays a crucial role as both a significant fishing ground and a thriving trading market for small pelagic edible fish. Recognized for their nutritional value, these fish are esteemed for their high protein content and abundance of polyunsaturated omega-3 and omega-6 fatty acids, making them a sought-after and healthful food choice. Nevertheless, pelagic species can also serve as a reservoir for lipophilic organochlorine pollutants, posing potential risks to human health. In this study, we compared traditional classification methods traditional principal component analysis (PCA) and Ward's clustering with an advanced self-organizing map (SOM) algorithm in determining distribution patterns of 24 organochlorines and 19 fatty acids in sardine and anchovy samples taken from the eastern Adriatic. The outcomes reveal the strengths and weaknesses of the three approaches (PCA, Ward's clustering, and SOM). However, it is evident that SOM has proven to be the most effective in offering detailed information and data visualization. Although sardines and anchovies exhibit similar distribution patterns for p,p'-DDE, PCB-28, PCB-138, PCB-153, PCB-118, and PCB-170, they differ in the concentrations of fatty acids such as stearic, palmitic, myristic, oleic, docosapentaenoic, and docosahexaenoic acid. Our findings supply valuable insights for environmental authorities and fish consumers concerning the potential risks associated with organochlorines in these two types of fish.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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