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A multiresidue method for the analysis of pesticides, polycyclic aromatic hydrocarbons, and polychlorinated biphenyls in snails used as environmental biomonitors.
Journal of Chromatography A ( IF 4.1 ) Pub Date : 2020-03-03 , DOI: 10.1016/j.chroma.2020.461006
Josephine Al-Alam 1 , Firas Baroudi 2 , Asma Chbani 3 , Ziad Fajloun 4 , Maurice Millet 2
Affiliation  

This paper reports an optimized multiresidue extraction strategy based on the Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) extraction procedure and on solid-phase microextraction (SPME) for the simultaneous screening of 120 pesticides, 16 polycyclic aromatic hydrocarbons, and 22 polychlorinated biphenyls from the terrestrial snail Helix aspersa. The optimized extraction method was based on QuEChERS using acetonitrile, followed by dispersive-Solid-phase extraction clean-up using primary secondary amine and octadecyl (C18) sorbents. The obtained extracts were analyzed by liquid chromatography coupled with tandem mass spectrometry and gas chromatography coupled with tandem mass spectrometry. This latest technique was preceded by a pre-concentration step using SPME with appropriate fibers. Afterwards, the method was validated for its linearity, sensitivity, recovery, and precision. Results showed high sensitivity, accuracy, and precision, with limits of detection and quantification lower than 20 ng g - 1 for most considered pollutants. Both inter and intra-day analyses revealed low relative standard deviation (%), which was lower than 20% for most targeted compounds. Moreover, the obtained regression coefficient (R2) was higher than 0.98 and the recoveries were higher than 60% for the majority of the assessed pollutants.

中文翻译:

一种用于分析用作环境生物监测器的蜗牛中的农药,多环芳烃和多氯联苯的多残留方法。

本文报告了一种基于快速,简便,廉价,有效,耐用和安全(QuEChERS)提取程序以及固相微萃取(SPME)的优化的多残留物提取策略,可同时筛查120种农药,16种多环芳烃,和22种多氯联苯,分别来自陆地蜗牛Helix aspersa。优化的提取方法是基于使用乙腈的QuEChERS,然后使用伯仲胺和十八烷基(C18)吸附剂进行分散固相萃取净化。通过液相色谱-串联质谱和气相色谱-串联质谱分析获得的提取物。在此最新技术之前,先使用SPME和适当的纤维进行预浓缩步骤。之后,该方法的线性,灵敏度,回收率和精密度均得到验证。结果显示出高灵敏度,准确性和精密度,对于大多数考虑到的污染物,其检测和定量限均低于20 ng g-1。日间和日间分析均显示出较低的相对标准偏差(%),对于大多数目标化合物而言,该相对标准偏差低于20%。此外,对于大多数评估污染物,获得的回归系数(R2)高于0.98,回收率高于60%。对于大多数目标化合物而言,该比例低于20%。此外,对于大多数评估污染物,获得的回归系数(R2)高于0.98,回收率高于60%。对于大多数目标化合物而言,该比例低于20%。此外,对于大多数评估污染物,获得的回归系数(R2)高于0.98,回收率高于60%。
更新日期:2020-03-03
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