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EN
The aim of this study was to look at the risk of community around the battery recycling plant in terms of the exposure to lead dust. The number of respondents amounted to 60 people from an industrial area and a residential area. The sample of the industrial area included 30 respondents with a composition of 15 men and 15 women. The same number of respondents was also examined in the residential area as a control area, located 5 km from the industrial area. Respirable dust was measured using a personal dust sampler, the concentration of lead in dust was measured using GF-AAS, while as a biomarker of exposure, the lead content in urine was measured using GF-AAS. The average values for respirable lead in industrial and residential areas are 0.92 μg/m3 and 0.92–1.34 μg/m3. The analysis of the lead content in urine for the industrial and residential areas produced an average value of 119 ppb and 123 ppb. The average value of HI for the lead exposure on the industrial and residential areas are in danger (HI > 1) which is 3.6 ± 1.94 and 2.18 ± 1.49. The OR values for the respondents in the industrial area compared to the residential areas amounting to 1.17 for the category of HI lead exposure and 1.22 for the category of lead in urine.
EN
Exposure to heavy metals, particularly lead, takes place in the ceramics industry. Lead is used in glaze to produce smooth and brilliant surfaces; thus, there is a likelihood of occupational adverse effects on humans. Urine samples were collected from 49 glazers at the start and end of the work shifts (98 samples). Solid phase extraction was used for separation and pre-concentration of the analyte. Samples were analysed by inductively coupled plasma-atomic emission spectroscopy (ICP-AES). Lung function tests were performed on both control and lead exposed subjects. Statistical analysis of covariance (ANCOVA) was used to evaluate the data obtained. The concentration of lead in glazers was 6.37 times higher than in the control group. Lung functions were significantly lower in the glazers compared to the control group (p < 0.001). Results showed that poor ventilation systems, overtime work and work history are effective determinants of high exposure levels.
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