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Dietary Exposure to Pesticide Residues from Commodities Alleged to Contain the Highest Contamination Levels

机译:膳食中涉嫌含有最高污染水平的商品中农药残留的暴露

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摘要

Probabilistic techniques were used to characterize dietary exposure of consumers to pesticides found in twelve commodities implicated as having the greatest potential for pesticide residue contamination by a United States-based environmental advocacy group. Estimates of exposures were derived for the ten most frequently detected pesticide residues on each of the twelve commodities based upon residue findings from the United States Department of Agriculture's Pesticide Data Program. All pesticide exposure estimates were well below established chronic reference doses (RfDs). Only one of the 120 exposure estimates exceeded 1% of the RfD (methamidophos on bell peppers at 2% of the RfD), and only seven exposure estimates (5.8 percent) exceeded 0.1% of the RfD. Three quarters of the pesticide/commodity combinations demonstrated exposure estimates below 0.01% of the RfD (corresponding to exposures one million times below chronic No Observable Adverse Effect Levels from animal toxicology studies), and 40.8% had exposure estimates below 0.001% of the RfD. It is concluded that (1) exposures to the most commonly detected pesticides on the twelve commodities pose negligible risks to consumers, (2) substitution of organic forms of the twelve commodities for conventional forms does not result in any appreciable reduction of consumer risks, and (3) the methodology used by the environmental advocacy group to rank commodities with respect to pesticide risks lacks scientific credibility.
机译:概率技术被用于表征消费者在饮食中所接触的农药的特征,该农药在总部设在美国的环境倡导组织所暗示的十二种商品中被认为具有最大的农药残留污染潜力。根据美国农业部农药数据计划的残留量得出了十二种商品中十种最常检测到的农药残留量的估计暴露量。所有农药暴露估计值均远低于既定的慢性参考剂量(RfDs)。 120个暴露量估计中只有一个超过RfD的1%(甜椒中的甲胺磷含量为RfD的2%),只有七个暴露量估计值(5.8%)超过RfD的0.1%。四分之三的农药/商品组合的暴露估计值低于RfD的0.01%(相当于低于动物毒理学研究的慢性无可观察到的不利影响水平的一百万倍的暴露量),而40.8%的暴露估计值低于RfD的0.001%。结论是:(1)暴露在十二种商品上最常检测到的农药对消费者的影响可以忽略不计;(2)用十二种商品的有机形式代替常规形式不会显着降低消费者的风险,并且(3)环境倡导小组根据农药风险对商品进行排名的方法缺乏科学可信度。

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    Winter, Carl K.; Katz, Josh M.;

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  • 年度 2011
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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