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Heavy metals speciation was performed using Rudd's method of extracting heavy metals, the selective extraction technique using 1M of KN03; 0.5 M KF; 0.1 M Na4P207; 0.1 M EDTA and 6M HN03. In herbal dust gathered from different sites around a herb — processing facility, exchangeable and soluble forms, organic combinations, carbonates and sulphides of the following metals were distinguished: Pb, Cd, Cu, Mn, Ni, Zn and Fe.
Background. Polybrominated diphenyl ethers (PBDEs) belong to group of so-called persistent organic pollutants (POPs). These compounds occur in nearly all elements of the environment, including household dust which constitutes one of a major route for human exposure. Their main adverse effects on human health are associated mainly with endocrine disruption – they interfere with thyroid function exhibit anti-androgenic action. Objectives. To develop and validate analytical method for determination of BDE-47, BDE-99, BDE-153, and BDE-209 congeners in household dust. Material and methods. Household dust was sampled in residences from Warsaw and the surrounding areas. An automated Soxhlet extraction of samples was then performed and PBDE congeners were subsequently measured in cleaned-up extracts by GC-μECD. The identity of quantified compounds was confirmed by GC/MS. Results. Household dust samples were fortified at levels of 2.88, and 28.8 ng g-1 for BDE-47, BDE-999, and BDE-153, and for BDE-209 at levels of 101.2, and 540 ng g-1. Recoveries ranged between 72 – 106%. The relative standard deviations (RSD) were less than 16% for all PBDE congeners analysed. The relative error determined on the basis of multiple analyses of certified reference material ranged from 1.07 – 20.41%. The method’s relative expanded uncertainty varied between 16 – 21%. Conclusion. The presented method was successfully validated and can be used to measure concentrations of BDE-47, BDE-99, BDE-153 and BDE-209 congeners in household dust.
The article relates to arduousness of work and draws particular attention to the problem of accidents at work in timber industry companies in the years 2005-2011. A concise description is presented of the issue of work arduousness caused by noise, mechanical vibration and timber dust, as they are important factors affecting employees’ health. The final part of the paper shows conclusions which may contribute to raising the standards of working conditions in timber industry companies.
Samples of settled dust were collected in 14 animal houses and examined for the presence of bacterial endotoxin with the Limulus (LAL) test and the gas chromatography - tandem mass spectrometry (GC-MSMS) technique, based on the detection of 3- hydroxy fatty acids (3-OH-FAs) as chemical markers of the endotoxin lipopolysaccharide. The median concentrations of the endotoxin in dust determined with LAL test in sheep sheds, poultry houses, and horse stables were 15,687.5 µg/g, 8,081.8 µg/g, and 79.3 µg/g, respectively, while those determined with the GC-MSMS technique were 868.0 µg/g, 580.0 µg/g, and 496.0 µg/g, respectively. Statistical comparison of the results yielded with LAL test and GC-MSMS technique revealed a weak correlation between both methods. Fatty acids with 14-16 carbon chains (3-OH-C₁₄ and 3-OH-C₁₆) were predominant in the settled dust of the facilities under study. In conclusion, endotoxin in the concentrations detected in this study may present a respiratory hazard to both livestock animals and farm workers. Thus, the prevention measures aiming to lower the exposure to endotoxin in livestock facilities are highly desirable.
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Dust emission rates from food processing

75%
A field study was performed to develop emission rates for dust exposure at a food processing facility. Eight 2-hour periods were monitored over 2 days. Area total suspended particulate samples were collected on 37 mm polyvinyl chloride filters with 5 µm pore size according to NIOSH Method 0500. Filters were analyzed gravimetrically. Ventilation and production activity data were collected during air sampling. Two mass balance models were used to calculate emission rates. The first was an experimental mass balance model, with the mass of contaminant generated determined by air flow and concentration measurements at room exit and entry points. The second treated the work environment as a completely mixed space, utilizing ventilation and area concentration measurements. Emission rates generated from mass balance models ranged from 2.09-542 mg/min for the various processing operations and food products. Process emission rates with production activity data allow estimation of dust exposure in similar facilities, and help direct development of exposure control strategies.
The aim of this on-site experiment is to evaluate and compare efficiencies of currently utilized biological additives to reduce emissions of dust and bioaeorsol in a confinement swine house. The mean reduction rate of total dust only after spray ranged was approximately 30% for all the treatments, compared to initial level before spraying additives which was found to reduce the initial level of total dust significantly (p<0.05). The mean reduction rate of all the treatments at 1hr after spraying was about 24% which was 6% lower than only after spray. Since 3hr after spraying, however, total dust level fluctuated inconstantly for all the treatments, besides application of soybean oil. The mean reduction rates of all the treatments only after spraying as compared to initial level before spraying were about 53% for total airborne bacteria (p<0.01) and 51% for total airborne fungi (p<0.01), respectively. At 1hr after spraying, the reduction rate of total airborne fungi averaged to about 35% for all the treatments (p<0.05), while insignificant reductions of total airborne bacteria were found only in the treatments with salt water, soybean oil, artificial spice, and essential oil (p>0.05). The fluctuations of total airborne bacteria and fungi, which were similar to total dust, were observed for all the treatments 3 hr after spray.
An explorative field study was conducted to assess residential exposure to pesticides, regularly applied in bulb farming. House dust floor samples were taken from homes of bulb farmers (n = 12) and from homes in close proximity to a bulb field (i.e. non-farmers) (n = 15). Samples were analysed for 7 pesticides used by bulb growers in the sampling period. Of these pesticides, chloropropham, flutolanil and vinchlozolin could be detected in non-farmers homes. All pesticides were detected in farmers' homes, except metamitron. Median concentrations for chloropropham were significantly higher in farmers' homes (0.05 vs. 0.20 µg/m2, p = 0.03). Logistic regression analyses showed that the odds for detecting pesticides were higher in farmers' compared to non-farmers' homes and remained higher after correction for potential confounders. Results showed no significant effect of proximity of a residence to a bulb field for median concentrations of pesticides; however, logistic regression analysis showed a borderline statistically significant effect for detecting chloropropham above the detection limit (OR = 10, p = 0.08). These findings demonstrate that, as expected, risk of exposure is higher for bulb farmers than for non-farmers. They also indicate that exposure to pesticides is not limited to bulb farmers only, and this warrants further investigation.
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