title: Partitioning of trace metals between soft tissues and shells of Patella aspera.
abstract: This paper describes the partitioning of iron, manganese, zinc, copper, cadmium, cobalt, nickel and lead between the soft tissues and the shells of the gastropod mollusc Patella aspera. Specimens of the limpet P. aspera were collected from a clean coastal marine site (CMS) and from an estuarine contaminated site (ECS) on the south coast of Portugal. Fe and Zn concentrations were significantly lower on both populations and less variable in the shells than in the soft tissues. In contrast Mn concentrations were higher in the shells than in the soft tissues at ECS. The partitioning factor (PF), defined as the ratio between the mean metal concentrations in soft tissues and in the shells, was maximum for iron and minimum for manganese. Between the soft tissues and the shells, only manganese at ECS recorded a significant relationship between metal concentrations, suggesting that the mechanism that controls the accumulation of this essential metal in both tissues was different from the others. From the obtained data, in biomonitoring sewage contamination studies, shells of P. aspera can be considered as a good indicator for Mn while the soft tissues for Zn. As copper, cadmium, nickel and cobalt concentrations were much higher in the soft tissues than in the shells (< 0.1 microg g(-1)), this indicates that the shells were not a good indicator for these metals because they do not reflect the environmental bioavailability as do the soft tissues.
authors.affiliation: Centre of Marine and Environmental Research (CIMA), F.C.M.A., University of Algarve, Campus de Gambelas, Faro, Portugal. acravo@ualg.pt
authors.forename: A
authors.initials: A
authors.lastname: Cravo
authors.forename: M J
authors.initials: MJ
authors.lastname: Bebianno
authors.forename: P
authors.initials: P
authors.lastname: Foster
mesh_terms: D000818:Animals; D004784:Environmental Monitoring; D019216:Metals, Heavy / Q000493:pharmacokinetics*; D008974:Mollusca / Q000378:metabolism*; D011174:Portugal; D014018:Tissue Distribution; D014874:Water Pollutants, Chemical / Q000493:pharmacokinetics*
chemical_list: D019216:Metals, Heavy; D014874:Water Pollutants, Chemical