Metal Levels in Serranus atricauda and Sparisoma cretense from the North-Eastern Atlantic Ocean—Contribution to Risk Assessment

The objective of this study was to study whether the metal concentrations in Sparisoma cretense and Serranus atricauda differ between different coastal areas around the island of Tenerife, Canary Islands and to study whether these species are good bioindicators of pollution. Thirty samples of each s...

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Published inApplied sciences Vol. 13; no. 8; p. 5213
Main Authors Gutiérrez, Alberto, Lozano-Bilbao, Enrique, Gutiérrez-Fernández, Ángel J., Paz-Montelongo, Soraya, González-Weller, Dailos, Rubio-Armendáriz, Carmen, Niebla-Canelo, Daniel, Alejandro-Vega, Samuel, Hardisson, Arturo
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2023
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Summary:The objective of this study was to study whether the metal concentrations in Sparisoma cretense and Serranus atricauda differ between different coastal areas around the island of Tenerife, Canary Islands and to study whether these species are good bioindicators of pollution. Thirty samples of each species were collected from three parts of the coastline around the island, and samples of muscle and liver tissue were taken from the collected specimens. The determination of the metal content (Al, Cd, Pb, Ca, K, Mg, Na, B, Ba, Cr, Cu, Fe, Li, Mn, Mo, Ni, Zn) was performed by inductively coupled plasma optical emission spectrometry (ICP-OES) before conducting a PERMANOVA analysis. The mean metal concentration was significantly higher in the liver tissue than in the muscle tissue of the two species studied. S. atricauda specimens had a larger number of metals with a higher concentration, and the samples from the northern and eastern zones were found to have a higher concentration of elements than those from the southern zone. The northern and eastern zones were found to have a higher concentration of metals and trace elements than the southern zone, which could be explained by the fact that these zones are more polluted due to their higher population density.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13085213