农药污染食品对消费者安全构成重大风险,并破坏对食品供应链的信心。检测食品样品中的农药是一项具有挑战性的任务,需要有效的提取技术。本研究旨在比较和验证两种微提取技术,μSPEed和μQuEChERS-dSPE,用于同时提取八种农药(百草枯,噻菌灵,asulam,Picloram,ametryn,阿特拉津,linuron,和cymoxanil)来自废水样品。两种方法都获得了良好的分析性能,有选择性,线性范围为0.5-150mgL-1,测定系数高达0.9979,检测限(LODs)和定量限(LOQs)分别为0.02至0.05mgL-1和0.06至0.17mgL-1,精密度在14.7mgL-1以下,废水样品的回收率在66.1-99.9%之间。开发的方法更简单,更快,并且需要比传统方法更少的样品和溶剂体积,对环境的影响较小。然而,发现μSPEed方法更有效,更容易执行,并且具有更高的绿色轮廓。这项研究强调了微萃取技术在分析食品和环境样品中农药残留方面的潜力。总的来说,它为分析废水样品中的农药提供了一种快速有效的方法,这可以用于监测和控制环境中的农药污染。
Food contamination with pesticides poses significant risks to consumer safety and undermines confidence in food supply chains. Detecting pesticides in food samples is a challenging task that requires efficient extraction techniques. This study aims to compare and validate two microextraction techniques, μSPEed and μQuEChERS-dSPE, for the simultaneous extraction of eight pesticides (paraquat, thiabendazole, asulam, picloram, ametryn, atrazine, linuron, and cymoxanil) from wastewater samples. A good analytical performance was obtained for both methodologies, with selectivity, linearity in the range 0.5-150 mg L-1 with coefficients of determination up to 0.9979, limits of detection (LODs) and limits of quantification (LOQs) ranging from 0.02 to 0.05 mg L-1 and from 0.06 to 0.17 mg L-1, respectively, precision below 14.7 mg L-1, and recoveries from wastewater samples in the range of 66.1-99.9%. The developed methodologies are simpler, faster, and require less sample and solvent volumes than conventional methodologies, having a lower impact on the environment. Nevertheless, the μSPEed approach was found to be more efficient, easier to perform, and with a higher greener profile. This study highlights the potential of microextraction techniques for the analysis of pesticide residues in food and environmental samples. Overall, it presents a fast and efficient method for the analysis of pesticides in wastewater samples, which can be useful for monitoring and controlling pesticide contamination in the environment.