Angela Giorgia Potortì

Trace elements in Thunnus thynnus from Mediterranean Sea and benefit–risk assessment for consumers

Trace elemental levels were determined by inductively coupled plasma-mass spectrometry in muscle, eggs and sperm of 23 Thunnus thynnus fishes collected from May to August 2013 in the Mediterranean Sea. Zn, Mn, Fe, Cu, Cr, Ni and Se content was compared with Recommended Daily Allowances. Cd, Hg and Pb concentrations were below the maximum limits fixed by the European Legislation. Tuna food safety was evaluated considering Tolerable Weekly Intake (TWI) or Provisional Tolerable Weekly Intake for As, Hg, Cd and Pb. Only BMDL01 data for As and Pb were calculated as established by the Joint FAO/WHO Expert Committed on Food Additives. The daily consumption of fresh tuna ensures a good intake of these elements. None of the tested samples surpassed the European maximum limits. Cd, Hg and Pb remained within safety margins, while As is slightly higher than the provisional TWI.

Statistical characterisation of heavy metal contents in Paracentrotus lividus from Mediterranean Sea

This work focuses on the estimation of Hg, As, Cr, Ni, Cu, V, Cd and Pb by inductively coupled plasma mass spectrometry in 135 adult specimens of Paracentrotus lividus collected in different coastal areas of Sicily (Gela, Punta Secca, Ragusa (RG), Siracusa, Priolo, Catania, Messina, Milazzo, Brolo and Filicudi), in order to monitor the Mediterranean marine ecosystem by use of sea urchin as bioindicator. Moreover, the paper deals with the statistical classification of the tested samples according to the sampling area based on metal concentrations. The descriptive statistics findings were obtained and, a starting multivariate matrix was built. Data-sets were subjected to Kruskal–Wallis test to verify the significance of differences in metal concentrations, and then a factor analysis with principal components extraction was performed to try to differentiate urchin samples collected in different areas. The results showed that P. lividus is a suitable organism to be used as bioindicator.

Heavy Metals and Neurodegenerative Diseases: An Observational Study

In this study, we evaluated the levels of some of the most investigated metals (Cu, Se, Zn, Pb, and Hg) in the blood of patients affected by the most common chronic neurodegenerative diseases like Alzheimer’s disease (AD) and multiple sclerosis (MS), in order to better clarify their involvement. For the first time, we investigated a Sicilian population living in an area exposed to a potentially contaminated environment from dust and fumes of volcano Etna and consumer of a considerable quantity of fish in their diet, so that this represents a good cohort to demonstrate a possible link between metals levels and development of neurodegenerative disorders. More specifically, 15 patients affected by AD, 41 patients affected by MS, 23 healthy controls, and 10 healthy elderly controls were recruited and subjected to a venous blood sampling. Quantification of heavy metals was performed by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). This technique has allowed us to establish that there is a concomitance of heavy metal unbalance associated with AD more than in other neurodegenerative pathologies, such as MS. Also, we can assess that the concentration of these elements is independent from the diet, especially from occasional or habitual consumption of fruits and vegetables, prevalence in the diet of meat or fish, possible exposure to contaminated environment due both to the occupation and place of residence.

High performance liquid chromatography coupled with atmospheric pressure chemical ionization mass spectrometry for sensitive determination of bioactive amines in donkey milk

In the present study we report on the optimization and validation of a sensitive high performance liquid chromatography atmospheric pressure chemical ionization mass spectrometry (HPLC-APCI-MS) method for the determination of 8 bioactive amines (histamine, tyramine, tryptamine, 2-phenylethylamine, cadaverine, putrescine, spermidine and spermine) in donkey milk samples. The method involves donkey milk pre-treatment to remove proteins and pre-column dansylation of the amines. HPLC in reversed phase mode has been used for bioactive amines separation and the operating condition of the APCI-MS system proved to be powerful and very efficient for peak assignment. The separation was accomplished in a short time with an excellent resolution for all the amine peaks. Quantification was carried out by monitoring the characteristic [M+H](+) ion of each amine derivative. The method sensitivity, linearity and repeatability were assayed with satisfactory results. The detection limits of the analysed amines ranged from 0.5 microg L(-1) to 15 microg L(-1); the highest LOD was for spermine. Also remarkably good recovery values were obtained; at the lowest spiking level (1 microg L(-1)) the percent mean recoveries ranged from 77.7 to 109.7. Furthermore, as the investigations relate to a complex matrix as donkey milk, suitable studies on matrix effect were performed. Finally, the developed and validated method was applied to analyse 13 donkey milk samples. Among the identified bioactive amines, putrescine, spermine and spermidine proved to be the main amines in donkey milk. Their concentration levels in the present study were lower than the values determined in mature human, cow and sow milk.

Determination of trace elements in goat and ovine milk from Calabria (Italy) by ICP-AES.

There are many sources of contamination to which milk could be exposed: grazing animals can ingest contaminants present in nature, such as lead in soil, or that have been deposited on grass, resulting from industrial emissions. Another possible route of contamination is represented by feed for animals, which may contain heavy and essential metals. The potential of high-resolution inductively coupled plasma spectrometry was evaluated to quantify reliably various toxic and essential elements (Fe, Zn, Pb, Cr, Ni, Cu, As, Se, Cd) in 47 samples of goat and ovine milk from various farms in Calabria (southern Italy). The results showed that concentrations of cadmium were below the limit of detection. Lead levels were below the maximum limits as set by the EC in almost all samples tested. The highest values were those of Zn followed by Fe, Cu and Se.

Statistical analysis of heavy metals in Cerastoderma edule glaucum and Venerupis aurea laeta from Ganzirri Lake, Messina (Italy).

Our study was carried out on two species of clams, Venerupis aurea laeta and Cerastoderma edule glaucum, from Ganzirri Lake considered as “environmental biomarkers” for their changes in physiology, morphology or distribution under the influence of substances in the environment. The aim of the present study was to conduct a statistical analysis on Venerupis and Cerastoderma to investigate the difference between the two autochthonous clams according to the presence of metals, and to link metal concentrations to the reproductive cycle of clam during 2009–2010. Metal analysis was carried out with inductively coupled plasma mass spectrometry (ICP-MS). Accuracy and precision were assessed by analyzing the certified standard matrix: mussel tissue NIST SRM 2976. The multivariate analysis was made using the SPSS 13.0 software package for Windows (SPSS Inc., Chicago, IL). In this study, the concentrations of some metals found in clam tissues showed seasonal cycles with higher values in summer than in winter. The significances of metal concentrations differences between Venerupis and Cerastoderma samples were estimated with Mann–Whitney U-test. The concentrations of Ag, As, Cd, Mn, Se and Zn show a significant p-level that suggests a difference between the two group samples. Statistical analysis showed that the link of metal concentrations to the reproductive cycles of Venerupis and Cerastoderma was not evident.

Classification of the geographical origin of Italian donkey's milk based on differences in inorganic anions

The content of chlorides, nitrites, nitrates, phosphates and sulphates was used to classify 45 donkeys milk samples collected from different Italian regions. A method employing ion exchange chromatography with conductivity detector and chemical suppression was used. The quantitative results indicated phosphates (569.4–1304.4 mg kg−1) and chlorides (545.9–1757.9 mg kg−1) as being the most abundant anions, followed by sulphates (109.5–200.7 mg kg−1). The concentrations of nitrites and nitrates were found to be lower at 5.6 and 5.5 mg kg−1 respectively. The data set was subdivided into three groups according to the region of origin of milk, and was statistically evaluated by analysis of variance (ANOVA). Concentrations of chlorides and nitrites showed a significant difference among farms (p < 0.001). In a first discriminant analysis procedure, functions based on linear combinations of the log e -transformed element concentrations of anions were generated to classify donkeys milk samples from different regions. In an alternative approach, a three-step discriminant analysis procedure to classify a milk sample was tested. The results obtained led to a correct classification of donkeys milk samples based on their anions content with 91–98% of the samples being correctly classified. The procedure proved to be very simple, so it could be used as an evaluation method for the traceability of donkeys milk, thus defending this unique product against fraud or commercial disputes.

Gas chromatography-tandem mass spectrometry multi-residual analysis of contaminants in Italian honey samples

ABSTRACT Contaminants belonging to various classes, including polychlorobiphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides (OCPs), organophosphorus pesticides (OPPs), pyrethroid insecticides (PYRs), fungicides (Fs), herbicides (Hs), synergists (SYNs) and insect growth regulators (IGRs) were analysed simultaneously in honey samples using a new simultaneous, easy and rapid method based on a liquid–liquid extraction with a mixture of n-hexane and ethyl acetate. It allowed recoveries in the range 80–137%, with limits of detection (LODs) between 0.10 and 5.21 ng g–1, showing a good sensitivity and accuracy. All the analysed Italian honeys showed the presence of residues of OPPs; PAHs were in 46.8% of the samples and PCBs were always below the LODs; 53.2% of the samples were contaminated by OCPs, PYRs, SYNs and IGRs. In addition, 46.8% of the samples exceeded the maximum residue limits (MRLs) established by the European Community in honey for chlorfenvinphos (cis + trans), TPP, γ-HCH, tebuconazole, coumaphos and τ-fluvalinate (cis + trans). GRAPHICAL ABSTRACT

Mineral composition of some varieties of beans from Mediterranean and Tropical areas

Abstract In this study has been evaluated the mineral composition (Cd, Pb, As, Hg, Ba, Cr, Co, Ni, Se, Sb, V, Cu, Fe, Zn, Mo, Na, K, Ca, Mg) of some varieties of bean (Phaseolus vulgaris, Vigna unguiculata and V. angularis) from Mediterranean and Tropical areas of the world (Italy, Mexico, India, Japan, Ghana and Ivory Coast); the correlation between beans mineral composition in micro and macroelements and botanical and/or geographical origin; trace elements dietary intake by beans consumption. The results showed a correlation between beans mineral composition and their geographical origin, with higher values in Ivory Coast samples. Moreover, minerals content found confirmed the importance of these legumes in the diet for the significant content of essential micro and macroelements and a safe consumption of beans for the low residual levels of toxic metals.

Agronomical evaluation of Sicilian biotypes of Lavandula stoechas L. spp. stoechas and analysis of the essential oils

The aim of this study was to characterize wild lavender, which was collected in three different areas of Sicily (Italy), according to agronomic and chemical evaluation. The collection sites were located in Pantelleria island, Partinico (a warm sub-area of Lauretum) and Castelbuono (a middle sub-area of Lauretum). All the populations were identified as Lavandula stoechas L. ssp. stoechas. Essential oils were extracted by hydrodistillation and analyzed by gas chromatography–flame ionization detector (GC–FID) and GC–mass spectrometry (GC–MS). GC–FID and GC–MS analyses permitted the identification of 101 components from the essential oils. We analyzed only the flowers and leaves of L. stoechas and the samples were analyzed using the PCA (principal component analysis) methodology regarding the chemical composition of the essential oils. Comparisons were carried out between the chemical compositions of essential oils from Sicilian populations and other Mediterranean populations. The essential oils of Sicilian L. stoechas biotypes were fenchone chemotype with percentages ranging from 45.29% to 60.27%. The qualitative chemical composition of the essential oils varied according to the different areas of origin of the plant material. Sicilian biotypes of L. stoechas showed high differences in chemical composition compared with the populations coming from other Mediterranean areas.