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This study examined the proximate composition, cholesterol content and fatty acid profile of fillet of the most important species captured in Italian seas and commonly consumed in the European Union, such as anchovy (Engraulis encrasicholus L.), red mullet (Mullus barbatus L.), European hake (Merluccius merluccius L.) and Atlantic bonito (Sarda sarda L.). The fish were caught in three different geographic areas of the Italian seas: south Tyrrhenian (ST), south Adriatic (SA) and Ionian (IO). Anchovy from the ST sea had the highest lipid content (2.27%) compared to fish captured in the SA (1.81%) and IO seas (1.91%) (P < 0.01). Red mullet captured in the SA exhibited the highest amount of lipid content (7.54%) compared to fish from the ST (1.82%) and IO seas (3.23%) (P< 0.01). The total content of cholesterol of fish did not show significant differences from one geographic area to the other, particularly for European hake (from 98 to 66 mg/100 g). The fatty acid profile of anchovy species was not affected by the geographic area of the fish catch. European hake caught in the ST sea showed the highest proportion of DHA (29.13%) in comparison with those captured in the SA (19.98%) and IO seas (19.84%). Atlantic bonito from the ST sea had the highest proportions of DHA (24.94%), compared to those from the SA (12.08%) and IO seas (13.83%). The SA bonitos contained a significantly lower proportion of EPA (3.31%) in comparison with fish from both the ST and IO seas (5.66 and 5.17% respectively). The red mullet captured in the ST sea exhibited the highest proportions of DHA, n-3 PUFA, total PUFA and significantly lower proportions of oleic acid and MUFA. The fish coming from the ST sea showed better nutritional traits than those from other geographical areas although they all have excellent nutritional traits due to the low fat content and very high n-3 PUFA proportion

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Polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs) and dioxin-like polychlorinated biphenyls (dl-PCBs) have similar toxic, endocrine-disrupting, and carcinogenic activity. They are classified as persistent organic pollutants accumulating in the environment and the tissues of living organisms. High concentrations of PCDD/F and dl-PCB have been detected in bovine milk collected in a Piedmont valley (Northwestern Italy) since 2004. This geographic study describes the local distribution of pollution from PCDD/Fs and dl-PCBs. Since their presence in animal products could be traced back to the ingestion of contaminated fodder, dioxin levels in cow milk were related to the distribution of fodder cropland parcels. Specifically, the aim of the study was to determine, through an exploratory approach, whether the contamination was consistent with one common point source of contamination or different scattered sources. Data for PCDD/F and dl-PCB concentrations in the bulk milk from 27 herds, sampled over a 4-year period (2004-2007), were matched to the georeferenced land parcels the dairy farmers used for growing fodder. Isopleth maps of dioxin concentrations were estimated with ordinary kriging. The highest level of pollution for both PCDD/Fs and dl-PCBs was geographically juxtaposed: in both instances, the location of the local steel plant was within this extremely highly polluted area. The study results support the hypothesis for one common point source of contamination in the valley. The exploratory spatial analysis applied in this research may provide a valuable, novel approach to straightforward identification of a highly likely source of dioxin contamination of dairy products (even in the absence of top soil contamination data).

Abstract. In May 2005, beta-hexachlorocyclohexane (β-HCH) was found in a sample of bovine bulk milk from a farm in the Sacco River valley (Latium region, central Italy). The primary source of contamination was suspected to be industrial discharge into the environment with the Sacco River as the main mean of dispersion. Since then, a surveillance programme on bulk milk of the local farms was carried out by the veterinary services. In order to estimate the spatial probability of β-HCH contamination of milk produced in the Sacco River valley and draw probability maps of contamination, probability maps of β-HCH values in milk were estimated by indicator kriging (IK), a geo-statistical estimator, and traditional logistic regression (LR) combined with a geographical information systems approach. The former technique produces a spatial view of probabilities above a specific threshold at non-sampled locations on the basis of observed values in the area, while LR gives the probabilities in specific locations on the basis of certain environmental predictors, namely the distance from the river, the distance from the pollution site, the elevation above the river level and the intrinsic vulnerability of hydro-geological formations. Based on the β-HCH data from 2005 in the Sacco River valley, the two techniques resulted in similar maps of high risk of milk contamination. However, unlike the IK method, the LR model was capable of estimating coefficients that could be used in case of future pollution episodes. The approach presented produces probability maps and define highrisk areas already in the early stages of an emergency before sampling operations have been carried out.