A retrospective study on dioxins and dioxin-like polychlorinated biphenyls in milk and dairy products from the Latium region (Italy) over a 7-year study period (2011-2017).

This study reports the data of polychlorinated dibenzo-p-dioxins (PCDDs), -furans (PCDFs), and polychlorinated biphenyls dioxin-like (dl PCBs) measured in a total of 260 samples of the dairy supply chain collected over a period of 7 years (2011-2017) in the Latium region (Italy). Levels and average profiles of congeners were reported for each group of the analyzed dairy matrices, and any differences between different sampling strategies were considered (around likely pollutant sources or casual sampling). Of the samples, 95.4% resulted compliant with the regulated levels; only samples belonging to the "sheep bulk milk" matrix were found to be above either the action levels or the maximum levels (tot. 12 samples). Raw milk of the sheep species showed the highest averages (PCDD/F 0.248 and dl PCB 0.966 WHO TEQ pg/g of fat) compared to the milk of other species. The buffalo milk showed a content of dl PCB significantly lower (dl PCB: 0.371 WHO TEQ pg/g of fat) than the sheep milk (p<0.05). Dioxins were found to be superior to furans in almost all dairy products, except in the noncompliant samples where furans were higher. The OCDD was found to be the most abundant congener in almost all dairy products. This study provides a first list of reference values for background contamination of the dairy supply chain in the Latium region. These pre-existing values will be useful in all cases of environmental pollution to identify critical situations.

On the Effect of the Temperature-Humidity Index on Buffalo Bulk Milk Composition and Coagulation Traits.

Little is known about the effects of high levels of environmental temperature and humidity on milk yield and quality in buffaloes since this species is known to be more heat tolerant than cattle. However, the distribution of sweat glands and the dark skin color can negatively affect heat tolerance. Moreover, due to increased global temperatures, concerns regarding heat stress and thermoregulation in dairy animals, including buffaloes, have been extended to the northern hemisphere. In this study, the effects of both the temperature-humidity index (THI) and the maximum daily temperature-humidity index (MTHI) were estimated on bulk milk traits, namely fat, protein, lactose, urea content, pH levels, somatic cell score, coagulation properties, and bacteria count. The dataset consisted of repeated data from 99 Mediterranean water buffalo farms, and mixed models were used for the analyses. Supporting the negative correlations observed, bulk milk fat, protein, and lactose content were significantly lower when THI and MTHI were higher. Similarly, milk pH was lower when THI and MTHI were high; however, high levels of THI or MTHI seemed to not be markedly associated with the milk's coagulation ability. According to both analysis of variance and correlations, the somatic cell score was not significantly affected by the THI and MTHI. This is the first study based on a large dataset that evaluates the impact of high temperature and humidity in Italian buffalo milk and that provides correlations with traits of interest for the dairy industry, i.e., milk acidity and coagulation ability. In general, findings show that the effects of elevated THI and heat stress on bulk milk quality in buffalo is less evident than in cattle. These preliminary results intend to open debate on the issue of heat stress in dairy buffaloes that are reared in temperate regions. Further studies should focus on individual milk and performance and should investigate the relationship between high THI and buffalo fertility, behavior, and welfare.

Farms at risk from environmental pollution: a proposal for a risk ranking procedure.

OBJECTIVES: to produce a methodology for the risk ranking of farms located around proven or potential sources of contamination to prioritize the monitoring procedures in food production. DESIGN: environmental factors that can favour the risk of contamination of products of animal origin (POAO) around a pollutant source were identified. A scale of standardized scores was produced for each risk factor (RF) in order to obtain a risk-based classification. Subsequently, an algorithm was developed to obtain a relative risk assessment (RRA). SETTING AND PARTICIPANTS: in order to validate the proposed methodology, data of 80 livestock farms in a polluted area, enrolled in a previous study, were subjected to the RRA. Results of RRA were compared with contamination data. MAIN OUTCOME MEASURES: seven RFs were included in a mathematical formula used to classify each farm. RESULTS: a scoring system was produced for each RFs and an algorithm was developed to obtain RRA which is an estimate of the farm probability of having POAO contamination in comparison to other farms located in the same area potentially affected by chemical pollution based exclusively on site-specific environmental characteristics. In the case study used for validation, a significant relationship between RRA and contamination data was found. CONCLUSIONS: the proposed methodology is a useful tool to support the authorities responsible for the food safety in carrying out the monitoring of POAO in areas subject to environmental risks. It helps to rationalize resources and make controls more effective.

Application of a risk-based standardized animal biomonitoring approach to contaminated sites.

Biomonitoring has been used to disclose the public health impact of contaminated sites. This study aimed at setting up good practices to apply biomonitoring targeting animal matrixes to design risk-based surveillance and exposure assessment plans. A nine-step protocol targeting farmed animals was devised and tested in three case study areas including (1) a waste dump, (2) a waste incinerator, and (3) a secondary aluminum smelter. Between 2010 and 2012, in each study area, the following 9-step best practices were applied: hazard identification, GIS project creation, risk area delimitation, control area selection, receptors (livestock) identification, farms and matrixes selection, sampling study design, on-farm secondary sources exclusion, and statistical and geostatistical analysis. Dairy farms and free-range laying hens were the primary targets: eggs from both risk and control areas and milk from risk areas were sampled and submitted for detection of selected tracking contaminants compatible with the putative sources. Comparison data (risk vs. control) of heavy metal concentrations in eggs were available only for case study 2, whereas egg comparison data of persistent organic pollutants were available for all the risk-control pairs. After taking into account potential secondary sources, no concern from metals was arisen, whereas high concentrations of persistent organic pollutants were detected in all risk areas; however, only for the aluminum smelter case study, the contamination was broad and higher in the risk area compared with the control one. The protocol has proved to be easily applicable and flexible to varying contexts and able to provide helpful data to inform risk management decisions.

Monitoring honey bee health in five natural protected areas in Italy.

The health status of the honey bee populations has attracted a great amount of interest in recent years. We investigated honey bee health in five natural protected areas in Italy from October 2009 to December 2010. Areas were selected to represent a wide range of bio­geographical zones including alpine, continental, and Mediterranean. Within each of these natural protected areas, one apiary of 20 colonies near potential pollution sources (e.g., agricultural areas, industrial areas, or urban settlements) and another apiary of 20 colonies far from possible sources of pollutants have been placed. To monitor honey bee health, colony mortality was related to: honey bee pathologies, environment (Naturality Index, plant protection products and heavy metal exposure), and apiary management. Anthropogenic pollutants and pathogens did not have significant effects on colony mortality while environment and the poor colony management skills of the beekeepers did.

Measurements of ß and α hexachlorocyclohexane in Juglans regia and Prunus spinosa trees in a contaminated area, central Italy.

Vegetables play an important role in the human diet, and the transfer of toxic contaminants from the soil to plants has been little studied for most tree species and their edible portions. In an area affected by hexachlorocyclohexane (HCH) contamination, in the Sacco River Valley (central Italy), measurements of ß- and α-HCH isomers were made on different parts of two tree species: Juglans regia and Prunus spinosa. Concentrations were analysed in roots, branches, leaves, fruits, and seeds. A spatial evaluation of the results highlighted an inverse association of contamination with distance from the river, which is the main route of transport in the environment. Results in J. regia showed decreasing values in this order: branches > leaves > husks > nutmeat. Results in P. spinosa showed decreasing values in the following order: branches > leaves > fruits. In J. regia, nutmeat values were all below limit of detection (LOD, 0.0005 mg/kg), except in one case in which a very low concentration of ß-HCH was found (0.006 mg/Kg), compliant with maximum residue limits (MRLs). The ability of J. regia to store large quantities of ß-HCH in wooden and leafy parts but not in edible kernels makes this plant a potential and precious tool in remediation and economical reconversion of polluted areas. It is also valuable for food and wood manufacturing.

Completeness of the dog registry and estimation of the dog population size in a densely populated area of Rome.

In most European countries, registration and identification of dogs is compulsory. In Italy, the national dog registry is composed of regional dog registries. Although dog registries have been established for many years, the issue related to completeness of data has not been addressed so far. The objective of this study was twofold: first to assess the completeness of data of the dog registry through telephone interview of a sample of dog owners drawn from the dog registry, then to estimate the total owned dog population in 4 boroughs of Rome. For the second objective, a capture-recapture method was applied using data from the dog registry and data from a face-to-face questionnaire submitted to people waiting in the sitting room of 5 points of access for booking and payment of primary and specialist care. Different scenarios are proposed to verify the assumptions of the estimation procedure and potential biases are discussed. The completeness of data of the dog registry was 88.9% (95% CI: 85.8-91.9%) and the owned-dog population was estimated at 26,244 dogs (95% CI: 24,110-28,383). The dog registry is an important source of information especially when it is properly updated and completeness of data is known.

A spatial, statistical approach to map the risk of milk contamination by β-hexachlorocyclohexane in dairy farms.

In May 2005, beta-hexachlorocyclohexane (ß-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 ß- HCH contamination of milk produced in the Sacco River valley and draw probability maps of contamination, probability maps of ß-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 ß-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 high-risk areas already in the early stages of an emergency before sampling operations have been carried out.

[Animal biomonitoring and micropollutants in public health--review]. / Biomonitoraggio animale e microinquinanti in sanità pubblica--rassegna bibliografica.

The aim of the present review is to provide a picture of the current knowledge on animal biomonitoring and on the link between pollution and Public Health. There are various reasons leading to this road: the need of early detection of industrial pollutants, especially micropollutants that have adverse effects in very low concentrations: it is important to disclose the presence of these compounds directly or through certain molecular biomarkers in living organisms rather than in the natural environment, where they are often below the detection threshold; the need to optimize the allocation of resources: some experiences of biomonitoring carried out in wild animals may be useful in the identification of pollution sources; however, biomonitoring of domestic animals appears to be more feasable and effective, because they share with humans the exposure to pollutants. Nowadays, professionals of different disciplines such as doctors and biologists do not share a common set of terms and definitions in animal biomonitoring: this review wants to give a contribution in the consolidation of the current knowledge under a common language.