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利用离子液体基体系同时提取和浓缩水污染示踪剂。

Simultaneous extraction and concentration of water pollution tracers using ionic-liquid-based systems.

机构信息

CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.

CESAM - Centre for Environmental and Marine Studies, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal; Instituto Politécnico de Coimbra, ESTESC-Coimbra Health School, Complementary Sciences, 3046-854 Coimbra, Portugal.

出版信息

J Chromatogr A. 2018 Jul 20;1559:69-77. doi: 10.1016/j.chroma.2017.07.084. Epub 2017 Jul 29.

Abstract

Human activities are responsible for the release of innumerous substances into the aquatic environment. Some of these substances can be used as pollution tracers to identify contamination sources and to prioritize monitoring and remediation actions. Thus, their identification and quantification are of high priority. However, due to their presence in complex matrices and at significantly low concentrations, a pre-treatment/concentration step is always required. As an alternative to the currently used pre-treatment methods, mainly based on solid-phase extractions, aqueous biphasic systems (ABS) composed of ionic liquids (ILs) and KCHO are here proposed for the simultaneous extraction and concentration of mixtures of two important pollution tracers, caffeine (CAF) and carbamazepine (CBZ). An initial screening of the IL chemical structure was carried out, with extraction efficiencies of both tracers to the IL-rich phase ranging between 95 and 100%, obtained in a single-step. These systems were then optimized in order to simultaneously concentrate CAF and CBZ from water samples followed by HPLC-UV analysis, for which no interferences of the ABS phase-forming components and other interferents present in a wastewater effluent sample have been found. Based on the saturation solubility data of both pollution tracers in the IL-rich phase, the maximum estimated concentration factors of CAF and CBZ are 28595- and 8259-fold. IL-based ABS can be thus envisioned as effective pre-treatment techniques of environmentally-related aqueous samples for a more accurate monitoring of mixtures of pollution tracers.

摘要

人类活动导致无数物质释放到水环境中。其中一些物质可用作污染示踪剂,以识别污染源,并优先进行监测和修复行动。因此,对这些物质的识别和定量具有很高的优先级。然而,由于它们存在于复杂的基质中且浓度非常低,因此总是需要进行预处理/浓缩步骤。作为目前主要基于固相萃取的预处理方法的替代方法,本文提出了由离子液体(IL)和 KCHO 组成的双水相体系(ABS),用于同时提取和浓缩两种重要污染示踪剂咖啡因(CAF)和卡马西平(CBZ)的混合物。对 IL 的化学结构进行了初步筛选,两种示踪剂在一步法中均以 95%至 100%的效率被萃取到 IL 富集相中。然后对这些体系进行了优化,以便从水样中同时浓缩 CAF 和 CBZ,然后进行 HPLC-UV 分析,结果发现 ABS 相形成成分和废水中存在的其他干扰物没有干扰。基于两种污染示踪剂在富含 IL 的相中饱和溶解度数据,CAF 和 CBZ 的最大估计浓缩因子分别为 28595 倍和 8259 倍。因此,可以设想基于 IL 的 ABS 是一种有效的环境相关水样预处理技术,可更准确地监测污染示踪剂混合物。

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