Characterization of distribution of pesticide residues in crop units
Characterization of distribution of pesticide residues in crop units
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农作物单位农药残留分布特征
DOI：
10.1080/03601234.2013.777277
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
S. Braun
中科院分区：
文献类型：
--
作者：
Z. Horváth;Á. Ambrus;L. Mészáros;S. Braun
基于对20种不同作物和46种农药的块根类蔬菜、叶类蔬菜、小、中、大型水果中19,000多种农药残留浓度的测定，研究了农药残留在作物单位和单一样品增量中的分布特征。发现对数正态分布、伽马分布和威布尔分布对各个残留物数据集的相对频率分布提供了最好的拟合。总体上符合对数正态分布。不同作物中残留的相对标准偏差(CV)在15-170%之间。一个数据集中的100-120个残留值太小，无法确定各种因素的潜在影响，如杀虫剂的化学和物理性质以及作物的性质。因此，从单个数据集获得的CV值的平均值被计算并分别被认为是对处理田(CV=0.8)和市场样品(CV=1.1)单位作物残留物的可能变异性的最佳估计。市场样品中残留的较大差异归因于批次的潜在混合和不同比例的未检测。合成样品中残留物的预期平均变异性可以根据考虑到样本大小的典型值来计算。
The characteristic features of distribution of pesticide residues in crop units and single sample increments were studied based on more than 19,000 residue concentrations measured in root vegetables, leafy vegetables, small-, medium- and large-size fruits representing 20 different crops and 46 pesticides. Log-normal, gamma and Weibull distributions were found to provide the best fit for the relative frequency distributions of individual residue data sets. The overall best fit was provided by lognormal distribution. The relative standard deviation of residues (CV) in various crops ranged from 15–170%. The 100–120 residue values being in one data set was too small to identify potential effects of various factors such as the chemical and physical properties of pesticides and the nature of crops. Therefore, the average of CV values, obtained from individual data sets, were calculated and considered to be the best estimate for the likely variability of unit crop residues for treated field (CV = 0.8) and market samples (CV = 1.1), respectively. The larger variation of residues in market samples was attributed to the potential mixing of lots and varying proportion of non-detects. The expectable average variability of residues in composited samples can be calculated from the typical values taking into account the sample size.