[Benzene in soft drinks: a study in Florence (Italy)]. / Benzene nelle bibite analcoliche: un'indagine fiorentina.

The aim of this study was to determine the amount of benzene present in soft drinks sold in Florence (Italy). We analyzed 28 different types of soft drinks, by measuring concentrations of benzoic acid, sorbic acid, ascorbic acid (using high performance liquid chromatography with UV detection) and benzene (using gas chromatography and mass spectrometry). Data was analysed by using SPSS 18.0.Traces of benzene were detected in all analyzed beverages, with a mean concentration of 0.45 µg/L (range: 0.15-2.36 µg/L). Statistically significant differences in mean benzene concentrations were found between beverages according to the type of additive indicated on the drink label, with higher concentrations found in beverages containing both ascorbic acid and sodium benzoate. Two citrus fruit-based drinks were found to have benzene levels above the European limit for benzene in drinking water of 1 µg /L. Sodium benzoate and ascorbic acid were also detected in the two drinks.In conclusion, not all soft drink producers have taken steps to eliminate benzoic acid from their soft drinks and thereby reduce the risk of formation of benzene, as recommended by the European Commission. Furthermore, the presence of benzene in trace amounts in all beverages suggests that migration of constituents of plastic packaging materials or air-borne contamination may be occurring.

Benzene exposure in a sample of population residing in a district of Florence, Italy.

OBJECTIVE: Personal exposure to airborne benzene is influenced by various outdoor and indoor sources. The first aim of this study was to assess the benzene exposure of a sample of urban inhabitants living in an inner-city neighborhood of Florence, Italy, excluding exposure from active smoking. The secondary objective was to differentiate the personal exposures according to personal usage patterns of the vehicles. METHODS: A sample of 67 healthy non-smokers was monitored by passive samplers during two 4-weekday campaigns in winter and late spring. Simultaneously, benzene measurements were also taken for a subset of participants, inside and outside their houses. A 4-day time microenvironment activity diary was completed by each subject during each sampling period. Other relevant exposure data were collected by a questionnaire before the sampling. Additional data on urban ambient air benzene levels were also available from the public air quality network. The passive samplers, after automated thermal desorption, were analyzed by GC-FID. RESULTS: Benzene personal exposure levels averaged 6.9 (SD=2.1) and 2.3 (SD=0.7) microg/m(3) in winter and spring, respectively. Outdoor and indoor levels showed high correlation in winter and poor in spring. In winter the highest benzene personal exposure levels were for people traveling by more public transport, followed by users of only car and by users of only bus respectively. CONCLUSIONS: The time spent in-transport for work or leisure makes a major contribution to benzene exposure among Florentine non-smoking citizens. Indoor pollution and transportation means contribute significantly to individual exposure levels especially in winter season.

Environmental monitoring of occupational exposure to N,N-dimethylformamide: comparison between active and diffusive sampling.

OBJECTIVES: The objective of this study is to optimize the evaluation of the exposure to N,N-dimethylformamide (DMF) in synthetic leather factories by diffusive samplers. The DMF exposure was monitored in synthetic leather factories by two sampler types: active and diffusive. METHODS: Air measurements were carried out using two different personal air samplers, a diffusive and an active one. The diffusive sampling method, TK200 with charcoal filters, was examined in comparison with pumping through NIOSH silica gel tubes workplace air as with the currently available "gold standard". The evaluation was carried out, in two different years but in the same season, for all the duration of the shift, i.e. 8 h on workers employed in five different factories in the district of Florence and Prato (Italy). RESULTS: The statistical and graphical analysis of data show a good correlation between active and passive samplers (r = 0.96, P < 0.001, n = 91), a good linear regression (DMF(diffusive )= 0.95 DMF(active) + 0.15, R (2) = 0.92), a not statistically significant difference between data (tested by paired t test and non-parametric Wilcoxon test). Moreover, all these results are confirmed for data lower and higher than TLV-TWA, in particular we found a significant Pearson correlation (r = 0.92, P < 0.001, n = 83; r = 0.92, P < 0.05, n = 8, respectively) and a significant linear regression (DMF(diffusive )= 0.88 DMF(active) + 0.73, R (2 )= 0.86; DMF(diffusive )= 0.90 DMF(active) + 3.76, R (2 )= 0.85). Besides, the analysis of graphical representations confirmed the previous evidences. Finally, we can not find a significant difference between different types of job. CONCLUSIONS: Due to the good agreement between the two groups of data, the TK200 samplers can be considered as a simpler approach than the pump for screening worker exposures to DMF.

Comparison of inductively coupled plasma mass spectrometry techniques in the determination of platinum in urine: quadrupole vs. sector field.

In recent years the increasing use of platinum (Pt) both in medical and in industrial applications has caused its growing anthropogenic emission and spread in the environment. Pt is released into the atmosphere by exhaust catalytic converters, and Pt compounds are often used in antitumour therapies. As a consequence, significant amounts of Pt can be detected in hospital wastewaters. This can lead to an increase in the exposure levels to Pt, especially in urban areas. It is therefore necessary to determine Pt reference values in the general population, by using suitable procedures able to achieve adequate analytical performances. Several measurements of Pt in biological fluids have been reported, but the analytical methods used for the determination of Pt often lack information about the uncertainty of the results, especially for low concentrations of urinary Pt in non-occupationally exposed subjects. The present paper considers the measurement of urinary Pt levels in a general population group from central Italy, by both quadrupole (Q) and sector field (SF) inductively coupled plasma mass spectrometry (ICP-MS). The two procedures were validated and their expanded uncertainties were evaluated. The limits of detection (LODs), calculated taking into account dilution factors, were 0.18 and 0.05 ng L(-1) of Pt for the Q and SF procedures, respectively. The median value observed was 4.13 ng L(-1) of Pt in urine, while the relative combined uncertainty at 5 ng L(-1) was below 20% with both ICP-MS techniques. These data are in good agreement with those reported in the literature for similar studies.

Urinary 1-hydroxypyrene and t,t-muconic acid as biomarkers of exposure to environmental pollutants in two areas in Italy (EPIC-Florence and Ragusa).

AIMS AND BACKGROUND: Several chemical compounds included in the group of polycyclic aromatic hydrocarbons (PAH) and benzene are well-known human carcinogens present in the atmosphere of polluted urban areas. Major sources include vehicle traffic and industrial emissions, but also cigarette smoke. Genotoxic damage derived from exposure to PAHs can be measured in healthy adults by specific assays as PAH-DNA adducts. In the frame of EPIC-Italy, we recently carried out a cross-sectional study in different areas of the country (Palli et al., Int J Cancer, 87: 444-451, 2000) and showed that mean DNA adduct levels varied considerably among different centers, being highest in Florence (a large metropolitan area in Tuscany) and lowest in Ragusa (a small town in Sicily). METHODS: A subgroup of EPIC volunteers, representative of these two local cohorts, agreed to collect 24-h urine samples, and we measured the excretion of two potential biomarkers of exposure to environmental pollutants: t,t-muconic acid (MA), a metabolite of benzene, and 1-hydroxypyrene (1-OHP), a metabolite of pyrene. Overall, 69 24-h urine samples were available for analyses. RESULTS: The absolute amounts of 1-OHP and MA excreted in the 24-h urine samples were 169.6 ng and 33.8 microg, respectively. Urinary excretion of both metabolites did not vary according to age or area of residence. Strongly significant differences emerged when current smokers were compared to non-smokers for 1-OHP (P = 0.0001) and MA (P = 0.01), thus confirming that smokers are directly exposed to PAHs and benzene from tobacco smoke, with a dose-dependent effect particularly evident for MA. Multivariate analyses showed positive associations of 1-OHP excretion with male sex, low education and being overweight but not with residence in two areas with contrasting levels of urban pollution; MA excretion tended to be higher in Florence. CONCLUSIONS: These two urinary metabolites are strongly related to tobacco smoke and do not appear to represent reliable biomarkers of exposure to environmental pollutants in the general population.