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Removing Disturbing Matrix Constituents from Biota Extracts from Total Extraction and Silicone‐Based Passive Sampling

机译:从总萃取和硅氧烷的无源采样中去除从生物脂肪提取物中取出扰动基质成分

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Contaminant analysis in biota extracts can be hampered by matrix interferences caused by, for example, co-extracted lipids that compromise the quality of the analytical data and require frequent maintenance of the analytical instruments. In the present study, using gas chromatography coupled to high resolution mass spectrometry (GC-HRMS), we aimed to develop and validate a straightforward, robust, and reproducible cleanup method with acceptable recoveries for diverse compound classes with a wide range of physicochemical properties representative of pollutant screening in biota extracts. We compared Oasis PRiME HLB cartridges, Agilent Captiva EMR-Lipid cartridges, and "Freeze-Out" with salmon lipids spiked with 113 target chemicals. The EMR-Lipid cartridges provided extracts with low matrix effects at reproducible recoveries of the multi-class target analytes (93 +/- 9% and 95 +/- 7% for low and high lipid amounts, respectively). The EMR-Lipid cartridges were further tested with spiked pork lipids submitted to total extraction or silicone-based passive sampling. Reproducible recoveries were achieved and matrix residuals were largely removed as demonstrated gravimetrically for both types of extracts. Ion suppression of halogenated compounds was not as efficiently removed by the cleanup of total and silicone-based extracts of pork lipids as for the salmon lipids. However, the samples with clean up provided better instrument robustness than those without cleanup. Hence, EMR-Lipid cartridges were shown to be efficient as a cleanup method in multi-class monitoring of biota samples and open up new possibilities as a suitable cleanup method for silicone extracts in biota passive sampling studies using GC-HRMS analysis. Environ Toxicol Chem 2021;00:1-12. (c) 2021 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
机译:Biota提取物中的污染物分析可以通过例如共同提取的脂质引起的基质干扰妨碍损害分析数据质量的脂质,并且需要经常维护分析仪器。在本研究中,使用耦合到高分辨率质谱(GC-HRMS)的气相色谱法,我们旨在开发和验证具有可接受的复合课程的直接,鲁棒,可再现的清理方法,具有各种复合类别,具有广泛的物理化学特性代表Biota提取物中的污染物筛选。我们比较了绿洲Prime HLB墨盒,安捷伦CAPTIVA EMR-脂质盒,并用鲑鱼脂质掺入113个靶标化学物质的“冻结”。 EMR-脂质盒在多级靶分析物的可再现回收率下提供了低基质效应的提取物(93 +/- 9%和95 +/- 7%,分别用于低和高脂质量)。 EMR-脂质盒进一步用尖刺的猪肉脂质进行,提交到总萃取或基于硅氧烷基的无源抽样。实现可重复的回收率,并且基本上除去基质残留物,如两种类型的提取物都是重量分析的。卤代化合物的离子抑制不是通过猪脂质的总和基于猪脂质的总和作为鲑鱼脂质的猪脂质的清除而有效地除去。然而,具有清洁的样品提供比没有清理的更好的仪器鲁棒性。因此,EMR-脂质盒被证明是在Biota样品的多级监测中作为清理方法是有效的,并且使用GC-HRMS分析将新的可能性作为Biota被动采样研究中的硅胶提取物的合适清洁方法。环境毒素化学2021; 00:1-12。 (c)2021作者。 Wiley期刊LLC代表Setac出版的环境毒理学和化学。

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