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Determination of organochlorine pesticides in snow water samples by low density solvent based dispersive liquid-liquid microextraction

机译:低密度溶剂型分散液-液微萃取法测定雪水样中的有机氯农药

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摘要

A simple, rapid, efficient, and environmentally friendly pretreatment based on a low-density solvent based dispersive liquid-liquid microextraction was developed for determining trace levels of 17 organochlorine pesticides in snow. The parameters affecting the extraction efficiency, such as the type and volume of the extraction and dispersive solvents, extraction time, and salt content, were optimized. The optimized conditions yielded a good performance, with enrichment factors ranging from 271 to 474 and recoveries ranging from 71.4 to 114.5% and relative standard deviations between 1.6 and 14.8%. The detection limits, calculated as three times the signal-to-noise ratio, ranged from 0.02 to 0.11 μg/L. The validated method was used to successfully analyze 17 analytes in snow water samples, overcoming the drawbacks of some existing low-density solvent liquid microextraction methods, which require special devices, large volumes of organic solvents, or complicated operation procedures.
机译:基于低密度溶剂的分散液-液微萃取技术,开发了一种简单,快速,高效且环保的预处理方法,用于测定雪中17种有机氯农药的痕量水平。优化了影响萃取效率的参数,例如萃取和分散溶剂的类型和体积,萃取时间和盐含量。优化的条件产生了良好的性能,富集系数在271至474之间,回收率在71.4至114.5%之间,相对标准偏差在1.6至14.8%之间。检测限是信噪比的三倍,范围为0.02至0.11μg/ L。经过验证的方法用于成功分析雪水样品中的17种分析物,克服了一些现有的低密度溶剂液体微萃取方法的缺点,这些方法需要特殊的设备,大量的有机溶剂或复杂的操作程序。

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