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机构地区:[1]山东省农业科学院中心实验室/山东省食品质量安全检测技术重点实验室,济南250100 [2]山东省农业科学院农业质量标准与检测技术研究所,济南250100
出 处:《中国农业科学》2010年第7期1458-1463,共6页Scientia Agricultura Sinica
基 金:国家"十一五"科技支撑计划项目(2006BAK02A04-06);山东省农业科学院科技创新基金项目(2006ycx034)
摘 要:【目的】研究济南市售蔬菜中农药残留污染状况,探讨其变异性并获得其变异因子,为准确评估蔬菜农药残留膳食摄入风险提供技术支持。【方法】应用统计学方法分析农药残留的污染水平;在JMPR建议原则指导下,采用Harrell-Davis法获得残留的变异因子,并对计算结果及过程进行验证。【结果】济南市售蔬菜中8种常用农药残留检出率均在20%之内,超标率较低(0.6%),检出率最高的残留和蔬菜分别是百菌清和叶菜类蔬菜,变异因子与农药残留平均浓度的关系可用υ=4.9×cm0.e1a5n表达。【结论】济南市售蔬菜中农药残留污染较轻,其变异因子普遍高于JMPR建议值,但低于英国急性评估中采用的默认值。[Objective] In order to provide technological support for risk estimation of pesticide residues taken from vegetables, the pollution of pesticide in vegetables in Ji'nan city was investigated. Moreover, the variability of pesticide residues in vegetables was explored, and the variability factor was calculated. [Method] The level of pesticide pollution was studied by statistic method. The variability factor was calculated using the Harrell-Davis method in accordance with principles recommended by the JMPR. In addition, the procedure of evaluation was validated according to the principles laid down by the JMPR. [Result] The detection rate of pesticide residues in all marketplace samples was less than 20% in Ji'nan city. The unqualified rate of vegetables was low (0.6%). The pesticide with highest rate of detection was chlorothalonil. The vegetables with highest rate of pesticide residues detection were leafy vegetables. The relationship between variability factor and mean value of concentrations of contaminations could be expressed by the formula, v = 4.9×cmem^0.15 . [Conclusion] The pollution of pesticide residues in vegetables in Ji'nan city is light. The evaluated variability factor is larger than that the value recommended by the JMPR, however, less than the default value used for acute intake assessment of pesticide residues in UK in most cases.
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