ICAAM - Instituto de Ciências Agrárias e Ambientais Mediterrânicas, IIFA, Universidade de Évora, Núcleo da Mitra, Ap. 94, 7006-554 Évora, Portugal; LAQV, REQUIMTE, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
Centro de Química de Évora, IIFA, Universidade de Évora, Colégio L.A. Verney, 7000 Évora, Portugal.
Food Chem. 2018 Jul 15;254:309-316. doi: 10.1016/j.foodchem.2018.02.003. Epub 2018 Feb 2.
Aiming to develop a straightforward magnetic-based sample preparation methodology for the selective extraction of dimethoate from olive oil, the synthesis of dimethoate-imprinted polymer on the surface of modified magnetic nanoparticles has been attempted. Molecular recognition assays have proven their suitability for the selective pre-concentration of dimethoate. Mechanistic basis for template selective recognition has been explored using a quantum chemical approach, providing new insights about the mechanisms underlying template recognition. Thus, a magnetic molecularly imprinted solid-phase extraction method was developed allowing the extraction of dimethoate from spiked olive oil samples, at levels similar to the maximum residue limits imposed by legislation, followed by the quantification of their levels by high-performance liquid chromatography with diode-array detection. Recoveries of 94.55% were obtained, with relative standard deviations lower than 0.53% (n = 3). The developed sample preparation technique enables a selective pre-concentration/enrichment of dimethoate from olive oil matrix with minimum handling and less solvent consumption.
为了开发一种直接的基于磁性的样品制备方法,用于从橄榄油中选择性提取乐果,尝试在修饰后的磁性纳米粒子表面合成乐果印迹聚合物。分子识别分析已经证明了它们适用于乐果的选择性预浓缩。使用量子化学方法探索了模板选择性识别的机理基础,为模板识别的机理提供了新的见解。因此,开发了一种磁性分子印迹固相萃取方法,允许从添加乐果的橄榄油样品中提取乐果,其水平与法规规定的最大残留限量相似,然后通过高效液相色谱-二极管阵列检测对其水平进行定量。回收率为 94.55%,相对标准偏差低于 0.53%(n=3)。所开发的样品制备技术能够从橄榄油基质中选择性地预浓缩/富集乐果,操作最少,溶剂消耗最少。