Cranfield University, Bedford MK43 0AL, UK.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2009 Jun;26(6):867-73. doi: 10.1080/02652030902788912.
Deoxynivalenol (DON) and ochratoxin A (OTA) in agricultural commodities present hazards to human and animal health. Bulk lots are routinely sampled for their presence, but it is widely acknowledged that designing sampling plans is particularly problematical because of the heterogeneous distribution of the mycotoxins. Previous studies have not explicitly looked at the interactions between the spatial distribution of the mycotoxin and the strategy used to take samples from bulk. Sampling plans are therefore designed on the assumption of random distributions. The objective of this study was to analyse the spatial distribution of DON and OTA in bulk commodities with geostatistics. This study was the first application of geostatistical analysis to data on mycotoxins contamination of bulk commodities. Data sets for DON and OTA in bulk storage were collected from the literature and personal communications, of which only one contained data suitable for geostatistical analysis. This data set represented a 26-tonne truck of wheat with a total of 100 sampled points. The mean concentrations of DON and OTA were 1342 and 0.59 microg kg(-1), respectively. The results showed that DON presented spatial structure, whilst OTA was randomly distributed in space. This difference between DON and OTA probably reflected the fact that DON is produced in the field, whereas OTA is produced in storage. The presence of spatial structure for DON implies that sampling plans need to consider the location of sample points in addition to the number of points sampled in order to obtain reliable estimates of quantities such as the mean contamination.
脱氧雪腐镰刀菌烯醇(DON)和赭曲霉毒素 A(OTA)在农产品中存在危害人类和动物健康的风险。通常会对大宗货物进行抽样检测,以确定其是否存在这些毒素,但人们普遍认为,由于霉菌毒素的不均匀分布,设计抽样计划特别具有挑战性。以前的研究并没有明确考虑霉菌毒素的空间分布与从大宗货物中取样所采用的策略之间的相互作用。因此,抽样计划是基于随机分布的假设设计的。本研究旨在使用地统计学分析来分析大宗货物中 DON 和 OTA 的空间分布。这是首次将地统计学分析应用于大宗货物中霉菌毒素污染的数据。从文献和个人交流中收集了 DON 和 OTA 在散装储存中的数据集,但只有一个数据集适合进行地统计学分析。该数据集代表了一辆 26 吨的小麦卡车,共有 100 个采样点。DON 和 OTA 的平均浓度分别为 1342 和 0.59 微克/千克。结果表明,DON 呈现出空间结构,而 OTA 在空间中随机分布。DON 和 OTA 之间的这种差异可能反映了这样一个事实,即 DON 是在田间产生的,而 OTA 是在储存过程中产生的。DON 存在空间结构意味着抽样计划需要考虑采样点的位置,除了采样点的数量外,还需要考虑采样点的位置,以便可靠估计平均污染等数量。