Ambrus Árpád, Horváth Zsuzsannna, Szenczi-Cseh Júlia
a Retired from National Food Chain Safety Office , Budapest , Hungary.
b Szent István University, Faculty of Food Science, Food Safety Doctoral School , Budapest , Hungary.
J Environ Sci Health B. 2018 Jun 3;53(6):404-410. doi: 10.1080/03601234.2018.1439816.
The effects of the spread of residue concentrations in the samples derived from the selected supervised trials and the number of trials were studied on the magnitude and uncertainty of the short-term dietary intakes calculated with the proposed new procedure (IESTI) and that one used currently by the FAO (Food and Agriculture Organization) and WHO (World Health Organization) Joint meeting on Pesticide Residues (JMPR) (IESTI). The residue data of 10 pesticides were obtained from supervised trials conducted on apples and pears. The methods described in Part I were used for the calculations of the uncertainty. The results indicate that the ratio of IESTI to IESTI (φ) is directly proportional to the ratio of the estimated maximum residue level (MRL), recommended by the JMPR; to the highest residue (HR) observed in supervised trials, and it may have a wide range depending on the particular conditions. The φ becomes greater with the increase of the difference between the mrl or maximum residue limit (MRL, established by the Codex Alimentarius Commission, CAC) and HR, and becomes smaller if the difference between the large portion (LP) and unit mass (U) decreases. The φ ranged between 2 and 5.1 in the 16 cases examined indicating that the IESTI calculation method leads to higher intake estimates. The ratio of CV and CV ranged typically between 0.62 and 1.71. It rapidly increased up to 12 trials. For a larger number of trials, the ratio remained practically constant (1.69-1.71). The processing factor (PF) equally affects the MRL and HR values, therefore, it will not practically influence the φ. The uncertainty of the estimated median residues depends on the spread and number of values in the residue datasets, which affects the uncertainty of the conversion factor (CF) and subsequently the uncertainty of the estimated IESTI. Residue values obtained from minimum nine independent trials are required for the correct calculation of the 95% confidence intervals of the calculated median residues. The uncertainty of the analytical results directly affects the median, HR values and indirectly the calculated mrl and the MRL derived from it. Therefore, it should also be considered for the calculation of the combined uncertainty of the conversion factors. For the correct interpretation of the results of dietary exposure calculations, the upper 95% confidence limit of the short-term intake should also be considered. However, it is not the current practice of regulatory agencies or JMPR.
研究了从选定的监督试验获得的样本中残留浓度的分布以及试验次数对采用新提议程序(国际估算短期摄入量方法,IESTI)和粮农组织(FAO)及世界卫生组织(WHO)农药残留联席会议(JMPR)目前使用的方法(IESTI)计算的短期膳食摄入量的大小和不确定性的影响。从苹果和梨上进行的监督试验中获取了10种农药的残留数据。第一部分中描述的方法用于计算不确定性。结果表明,IESTI与IESTI的比值(φ)与JMPR推荐的估计最大残留限量(MRL)与监督试验中观察到的最高残留量(HR)的比值成正比,并且根据具体情况其范围可能很广。随着MRL或最大残留限量(由食品法典委员会,CAC制定的MRL)与HR之间差异的增加,φ值增大;如果大份量(LP)与单位质量(U)之间的差异减小,φ值则减小。在所检查的16个案例中,φ值在2至5.1之间,表明IESTI计算方法导致更高的摄入量估计值。CV与CV的比值通常在0.62至1.71之间。试验次数增加到12次时,该比值迅速上升。对于更多的试验次数,该比值实际上保持恒定(1.69 - 1.71)。加工因子(PF)同样影响MRL和HR值,因此,实际上它不会影响φ值。估计中位数残留量的不确定性取决于残留数据集的值的分布和数量,这会影响转换因子(CF)的不确定性,进而影响估计的IESTI的不确定性。为了正确计算所计算的中位数残留量的95%置信区间,需要从至少九次独立试验中获得残留值。分析结果的不确定性直接影响中位数、HR值,间接影响计算出的MRL及其导出的MRL。因此,在计算转换因子的组合不确定性时也应予以考虑。为了正确解释膳食暴露计算的结果,还应考虑短期摄入量的95%置信上限。然而,这并非监管机构或JMPR目前的做法。