Surveillance Plan of Lipophilic Marine Biotoxins in Molluscs from the Croatian Coast

• Published in: Exposure and health Vol. 14; no. 1; pp. 129 - 138
• Main Authors: Bogdanovic, Tanja, Di Giacinto, Federica, Berti, Miriam, Visciano, Pierina, Petričević, Sandra, Rogošić, Mario, Rogić, Zoran, Mascilongo, Giuseppina, Di Renzo, Ludovica, Ferri, Nicola, Schirone, Maria, Listes, Eddy
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.03.2022; Springer Nature B.V
• Subjects: Aging (natural); Algal blooms; Aquaculture; Aquatic Pollution; Azaspiracids; Bioassays; Cell cycle; Diarrhea; Earth and Environmental Science; Environment; Environmental conditions; Environmental Health; Eutrophication; Laboratories; Lipophilic; Lipophilicity; Mollusks; Okadaic acid; Original Paper; Poisoning; Pollution; Prediction models; Seasonal distribution; Shellfish; Surveillance; Toxicity; Waste Water Technology; Water and Health; Water Management; Water Pollution Control; Water quality; Water Quality/Water Pollution; Canada; United States > US; Adriatic Sea; Ireland; Croatia; Okadaic acid; Azaspiracid; Yessotoxin; Adriatic Sea; Pectenotoxin
• ISSN: 2451-9766; 2451-9685
• DOI: 10.1007/s12403-021-00424-6

In the present study, a 4-year surveillance plan for the detection of lipophilic marine biotoxins in Mytilus galloprovincialis and Callista chione from different aquaculture farms and natural beds along the Central Adriatic coasts of Croatia was reported. The samples were analyzed by a validated LC–MS/MS method in accordance with the Regulation (EU) No 2019/627. Lipophilic marine biotoxins belonging to the okadaic acid group, except for azaspiracids, as well as yessotoxins, were found at different concentrations, always below the maximum limits established by the Regulation (EC) No 853/2004. The seasonal distribution showed the highest values in summer months, and an interannual variability was also observed, probably due to environmental conditions aging on the density of harmful algal blooms. The comprehensive data reported in this study should help the future research in making advancing prediction models along the Eastern Adriatic coast.