Shellfish monitoring for lipophilic phycotoxins in France, recommendation for an updated sampling strategy

Type Proceedings paper
Date 2014
Language English
Other localization http://www.cawthron.org.nz/publications/ICHA16-Proceedings.pdf
Author(s) Thebault Anne1, Arnich Nathalie1, Belin CatherineORCID2, Neaud-Masson Nadine2
Affiliation(s) 1 : Anses, Maisons-Alfort, France
2 : Ifremer, Nantes, France
Meeting ICHA16 - 16th International Conference on Harmful Algae. 27th-31st October 2014, Wellington, New Zealand
Source A. Lincoln MacKenzie [Ed]. Marine and Freshwater Harmful Algae. Proceedings of the 16 th International Confer ence on Harmful Algae, Wellington, New Zealand 27th - 31 st October 2014. Cawthron Institute, Nelson, New Zealand and International Society for the Study of Harmful Algae (ISSHA). ISBN 978 - 87 - 990827 - 5 - 9. Part. Surveillance and Managment. pp.242-245
Keyword(s) monitoring, shellfish, lipophilic phycotoxins, Bayesian inference
Abstract

In France, the sampling strategy for the official monitoring of lipophilic phycotoxins in bivalve shellfish relies on the definition of risk areas and high risk periods, during which a systematic weekly analysis of toxins in shellfish is performed. Since 2010, high risk periods are defined as follows: the occurrence of one result above the European regulatory limit (160 μg equivalent okadaic acid/kg shellfish) over the last 3 years leads to that month being considered a high risk period. This definition was established according to a statistical analysis of the official monitoring results for the period 2003-2008, based on the mouse bioassay (MBA) as the official analytical method. As of the 1st January 2010, the MBA has been replaced by LC-MS/MS. In 2014, a new statistical analysis was performed, based this time on results for the period 2010-2013 for which quantitative LC-MS/MS data are available. We tested the robustness of the definition set in 2010 and identified a new methodology to improve our sampling strategy for lipophilic toxins in bivalve shellfish, based on Bayesian inference.

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Thebault Anne, Arnich Nathalie, Belin Catherine, Neaud-Masson Nadine (2014). Shellfish monitoring for lipophilic phycotoxins in France, recommendation for an updated sampling strategy. A. Lincoln MacKenzie [Ed]. Marine and Freshwater Harmful Algae. Proceedings of the 16 th International Confer ence on Harmful Algae, Wellington, New Zealand 27th - 31 st October 2014. Cawthron Institute, Nelson, New Zealand and International Society for the Study of Harmful Algae (ISSHA). ISBN 978 - 87 - 990827 - 5 - 9. Part. Surveillance and Managment. pp.242-245. https://archimer.ifremer.fr/doc/00393/50470/