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A Probabilistic Assessment of Human Health Risk from Arsenic-Contaminated Rice Grown Near The Mining Areas of Korea  

Paik, Min-Kyoung (Department of Crop Life Safety, National Academy of Agricultural Science, Rural Development Administration)
Kim, Won-Il (Department of Crop Life Safety, National Academy of Agricultural Science, Rural Development Administration)
Yoo, Ji-Hyock (Department of Crop Life Safety, National Academy of Agricultural Science, Rural Development Administration)
Kim, Jin-Kyoung (Department of Crop Life Safety, National Academy of Agricultural Science, Rural Development Administration)
Im, Geon-Jae (Department of Crop Life Safety, National Academy of Agricultural Science, Rural Development Administration)
Hong, Moo-Ki (Department of Crop Life Safety, National Academy of Agricultural Science, Rural Development Administration)
Publication Information
Journal of Food Hygiene and Safety / v.25, no.2, 2010 , pp. 143-147 More about this Journal
Abstract
Chronic exposure to Arsenic (As) causes significant human health effects including various cancers. Total As concentrations from 300 polished rice samples cultivated near the mining areas in Korea were analyzed to estimate a probabilistic assessment of human health risk from As-contaminated rice. The mean of total As concentrations in rice was 0.09 mg/kg and lognormal distribution model was set for total As concentrations. Human health risk for As in rice was estimated using gender-specific rice consumption data and average daily dose (ADD). While cancer risk (CR) and hazard quotient (HQ) were calculated using oral cancer slope factor (OCSF) and Reference dose (RfD) suggested by the U.S. EPA. Mean of CR posed by total As was 2.16 (for male) and 1.83 (for female) per 10,000. The HQ for general population from rice cultivated near the mining areas in Korea was below 1 as the $50^{th}$ percentile of general population. However, less than 10% of general population consuming rice cultivated near the mining areas would exceed 1.0. This result is similar with those from each gender-specific group.
Keywords
arsenic; rice; mining area; probabilistic assessment;
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