Suppr超能文献

优化海水中极性有机化学整合采样器的处理方法:提高痕量新兴污染物分析准确性。

An optimized processing method for polar organic chemical integrative samplers deployed in seawater: Toward a maximization of the analysis accuracy for trace emerging contaminants.

机构信息

Department of Chemistry and Industrial Chemistry, University of Genoa, via Dodecaneso 31, Genoa 16146, Italy.

Department of Chemistry and Industrial Chemistry, University of Genoa, via Dodecaneso 31, Genoa 16146, Italy.

出版信息

J Chromatogr A. 2022 Aug 16;1677:463309. doi: 10.1016/j.chroma.2022.463309. Epub 2022 Jul 9.

Abstract

Passive sampling of emerging contaminants (ECs) in seawater represents a challenge in environmental monitoring. A specific protocol for Polar Organic Chemical Integrative Sampler (POCIS) processing may be necessary when dealing with marine applications, due to the peculiarity of the considered matrix. Herein, both the instrumental LC-MS/MS analysis and the sampler processing for the determination of 22 ECs in seawater were carefully optimized. The study entailed a test simulating POCIS sorbent exposure to seawater as well as the processing of replicated field POCIS with different elution solvents. The final method involved washing the sorbent with water, to eliminate most salts, and a two-step elution, by using methanol and a small volume of a dichloromethane-isopropanol mixture. With this protocol, recoveries between 58 and 137% (average 106%) were obtained for most analytes, including non-steroidal anti-inflammatory drugs, UV-filters, perfluorinated substances and caffeine. Still, the protocol was not suitable for very hydrophilic compounds (recovery under 20% for artificial sweeteners and the pharmaceutical salbutamol), which also showed remarkable ion suppression (matrix effects in the range 4-46%). For all other chemicals, the matrix effects were in the range 67-103% (average 86%), indicating satisfactory accuracy. Also, the overall method showed high sensitivity (detection limits in the range 0.04-9 ng g of POCIS sorbent) and excellent specificity, thanks to the monitoring of two "precursor ion-product ion" MS transitions for identity confirmation. The method was applied to samplers deployed in the Ligurian coast (Italy), detecting caffeine, bisphenol A, ketoprofen and two UV-filters as the most concentrated in the POCIS sorbent.

摘要

海水中新兴污染物(ECs)的被动采样对环境监测来说是一个挑战。由于所考虑的基质的特殊性,在处理海洋应用时,可能需要特定的极性有机化学综合采样器(POCIS)处理方案。本文中,对仪器 LC-MS/MS 分析和采样器处理过程进行了仔细优化,以测定海水中的 22 种 ECs。该研究包括模拟 POCIS 吸附剂暴露于海水中的测试以及使用不同洗脱溶剂处理复制的现场 POCIS。最终方法包括先用水洗去吸附剂上的大部分盐,然后使用甲醇和少量二氯甲烷-异丙醇混合物进行两步洗脱。采用该方案,大多数分析物(包括非甾体抗炎药、紫外线滤光剂、全氟化合物和咖啡因)的回收率在 58%至 137%之间(平均为 106%)。然而,该方案并不适用于非常亲水的化合物(人工甜味剂和药物沙丁胺醇的回收率低于 20%),这些化合物也表现出明显的离子抑制(基质效应在 4%至 46%之间)。对于所有其他化学品,基质效应在 67%至 103%之间(平均为 86%),表明准确度良好。此外,由于采用了两种“前体离子-产物离子”MS 转换进行身份确认,该方法具有很高的灵敏度(检测限在 0.04-9ng g POCIS 吸附剂之间)和出色的特异性。该方法应用于部署在意大利利古里亚海岸的采样器中,检测到咖啡因、双酚 A、酮洛芬和两种紫外线滤光剂在 POCIS 吸附剂中浓度最高。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验