用新型改性酸二氧化硅快速测定食品、饲料和植物油中的pcdd、pcdf和DL-PCBs

Chakoyan Ovanes
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引用次数: 0

摘要

多氯二苯并对二恶英、二苯并呋喃和类二恶英多氯联苯是持久性有机污染物,因其极高的稳定性、高潜在毒性和在食物链中的生物蓄积性,近年来受到了广泛关注。人类接触这些化合物的主要来源是动物源性食物,尤其是富含脂肪的食物。本研究旨在建立植物油、葵花籽粕、葵花籽、菜籽和奶粉中pcdd / fs和DL-PCB的分析方法。第一步是用己烷:丙酮- 80:20的混合物进行3小时的半自动索氏提取,然后用55%的酸性二氧化硅进行酸消化和过滤。浓缩后,提取液在多层柱(硅胶、二氧化硅- koh、二氧化硅- h2so4无水Na2SO4)上纯化,然后在氧化铝柱上分离成两部分(第一部分含有pcdd / pcdf,第一部分只含有PCBs)。采用GC/MS/MS对纯化后的提取物进行分析。我们实验室新开发的方法能够将样品制备的总时间减少到7小时/每个样品。由于该方法对样品中添加的所有标记同源物显示出良好的平均回收率(对于pcdd / pcdf - 80% - 110%,对于dl - pcb - 70% - 85%),我们假设分析样品中没有高估或低估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid determination of PCDDs, PCDFs and DL-PCBs in foods, feeding stuffs and vegetable oils using new modified acid silica
Polychlorinated dibenzo-p-dioxins, dibenzofurans and dioxin-like polychlorinated biphenyls are persistent organic pollutants (POPs), which in recent years received huge attention due to their extreme stability, high potential toxicity and bioaccumulation in food chains. The main source of human exposure to these compounds is discovered in foods of animal origin, especially foods rich in fat. The target of the present study was to set up an analytical method for the determination of PCDDs/PCDFs and DL-PCB in vegetable oils, sunflower meals, sunflower seeds, rapeseeds and milk powder. The first step consisted of a semi-automatic Soxhlet extraction for 3 hours, by using a mixture of Hexane: Acetone – 80:20, followed by acid digestion with 55% acid silica and filtration. After concentration, the extract is purified on a multilayer column (silica gel, silica-KOH, silica-H2SO4 anhydrous Na2SO4) followed by an alumina column separation in two fractions (first fraction containing PCDDs/PCDFs and second containing only PCBs). The purified extract was then analyzed by GC/MS/MS. The newly developed approach in our lab was capable to reduce the overall time of sample preparation to seven hours/ per sample. Since the method shows good mean recoveries for all labeled congeners spiked in the samples (for PCDDs/PCDFs – 80% - 110%, for DL-PCBs – 70% - 85%), we assumed the absence of overestimation or underestimation in the analyzed samples.
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