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Multi-residue study of pesticides in cocoa beans produced from Ghana using multivariate analysis

机译:使用多变量分析对加纳生产的可可豆中的农药进行多残留研究

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Multi-residue levels of pesticides were determined in 44 distinct fermented dried cocoa beans samples collected from two cocoa beans storage warehouses located in Tema and Takoradi; cities in Ghana from November, 2010 to January, 2011. The main objective of this study was to evaluate, in the first place, the relationship between the levels of the pesticides in fermented dried cocoa beans, and then identify their mutual concentration dependence to identify their source. To achieve this, residue data obtained from gas chromatography mass spectrometry analysis of cocoa beans was subjected to multivariate analysis; specifically principal component analysis and cluster analysis. The extracting solvent was a pesticide grade acetonitrile, with two solid phase extraction clean-up cartridges; bond Elut C18 and Envi-carp/LC-NH2 cartridges used for extract clean-up. The targeted compounds include but not limited to Beta-HCH, Alpha-Endosulfan, Endrin, p,p'-DDD, Dimethoate, Chlorpyrifos, Allethrin, Bifenthrin, Fenvalerate, Cyfluthrin, and Cypermethrin. Multivariate analysis of the residue data on fermented dried cocoa beans in R-mode and Q-mode grouped the detected pesticides into current use, previously used, run-off and drift from neighbouring crops pesticides applications. It also grouped sampled cocoa beans into four major clusters based on similarities in crop storage and agricultural farming practices. From the results, it was realized that future pesticides residues monitoring could be design to save cost, by selecting only marker pesticides from each identified groupings.
机译:从位于特马(Tema)和塔科拉迪(Takoradi)的两个可可豆存储仓库中收集的44个不同的发酵干可可豆样品中测定了多种农药残留水平。加纳各城市从2010年11月至2011年1月。本研究的主要目的是首先评估发酵的可可豆中农药含量之间的关系,然后确定其相互之间的浓度依赖性,从而确定他们的来源。为此,对从可可豆气相色谱质谱分析中获得的残留数据进行了多变量分析。特别是主成分分析和聚类分析。萃取溶剂为农药级乙腈,带有两个固相萃取净化柱。 Bond Elut C18和Envi-carp / LC-NH2滤芯用于提取物净化。目标化合物包括但不限于β-六氯环己烷,α-硫丹,异狄氏剂,p,p'-DDD,乐果,毒死rif,Allethrin,联苯菊酯,苯戊菊酯,氟氰菊酯和氯氰菊酯。对R型和Q型发酵干可可豆的残留数据进行多变量分析,将检测到的农药分为当前使用,先前使用,径流和邻近农作物农药应用中的漂移。它还根据作物储存和农业耕作方式的相似性将抽样的可可豆分为四个主要类别。从结果可以看出,未来的农药残留监测可以通过从每个确定的组中仅选择标记农药来设计,以节省成本。

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