Watanabe Takao, Kim Eul-Sang, Ko Yang-Sook, Yang Hye-Ran, Moon Chan-Seok, Nakatsuka Haruo, Shimbo Shinichiro, Ikeda Masayuki
Department of Childhood Education, Faculty of Human Sciences, Tohoku Bunkyo University, Yamagata, 990-2316, Japan.
Environ Health Prev Med. 2015 Jul;20(4):307-13. doi: 10.1007/s12199-015-0467-1. Epub 2015 May 21.
This study was initiated to elucidate the extent of dietary exposure of children in Korea to two pollutant metals of cadmium (Cd) and lead (Pb). Possible urban-rural difference was also examined.
Food duplicate and morning spot urine samples were collected from 108 children in 4 kindergartens (KG) (1 KG in Seoul and 3 KGs in Jeju Island), as reported in a previous publication. The samples were analyzed for Cd and Pb by ICP-MS.
Cd and Pb in food duplicate and urine samples were distributed approximately log-normally. Geometric means for Cd and Pb in food duplicate samples were 12.4 and 5.8 μg/day, or 0.58 and 0.27 μg/kg body weight/day, respectively, and the values for Cd and Pb in urine (as observed, i.e., with no correction for urine density) were 0.91 and 1.64 μg/L, respectively. 2.41 and 0.30 μg/day of Cd and Pb (accounting for 19.5 and 5.1%) came from boiled rice, the staple food. The levels of Cd and Pb burden among the children in the present survey were essentially the same with the levels reported for children in Pusan. The reasons for difference in the rank in Cd-D and Cd-U among the 4 KGs need further study.
The observed levels of Cd and Pb exposure were more or less similar to what were reported for children in Pusan. No apparent urban-rural difference could be detected.
开展本研究以阐明韩国儿童对两种污染金属镉(Cd)和铅(Pb)的膳食暴露程度。同时也研究了可能存在的城乡差异。
如之前一篇出版物中所报道,从4所幼儿园(首尔1所,济州岛3所)的108名儿童中收集了食物双份样本和晨尿样本。采用电感耦合等离子体质谱法(ICP-MS)对样本中的镉和铅进行分析。
食物双份样本和尿液样本中的镉和铅大致呈对数正态分布。食物双份样本中镉和铅的几何均值分别为12.4和5.8μg/天,或0.58和0.27μg/千克体重/天,尿液中镉和铅(实测值,即未对尿密度进行校正)的含量分别为0.91和1.64μg/L。镉和铅分别有2.41和0.30μg/天(占比19.5%和5.1%)来自主食米饭。本次调查中儿童的镉和铅负荷水平与釜山儿童报告的水平基本相同。4所幼儿园中镉 - 膳食(Cd-D)和镉 - 尿液(Cd-U)排名差异的原因需要进一步研究。
观察到的镉和铅暴露水平与釜山儿童报告的水平大致相似。未检测到明显的城乡差异。