Department of Analytical Chemistry, University of Valencia, Dr Moliner 50, 46100, Burjassot, Valencia, Spain.
Department of Analytical Chemistry, University of Valencia, Dr Moliner 50, 46100, Burjassot, Valencia, Spain.
Talanta. 2024 Jan 15;267:125277. doi: 10.1016/j.talanta.2023.125277. Epub 2023 Oct 4.
In this paper, natural deep eutectic solvents (NADES)-based for liquid phase microextraction (LPME) is proposed for the isolation of different psychoactive substances in water and biological fluids followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The NADES composition was optimized (L-menthol:octanoic acid, 1:2 M ratio) prior to the study of the extraction conditions such as sample and elution volumes, obtaining up to 16-fold preconcentration factor. Next, the quality parameters were studied including linearity from LOQs (0.0006-0.05 μg L) to 100 μg L, precision values (expressed as relative standard deviation, RSD≤8 %) and recoveries above 70 % in most cases. Certified saliva and serum samples were analyzed by the proposed method to assess the accuracy of the developed procedure, providing values statistically comparable to the certified ones. In addition, the proposed methodology was evaluated by applying green metrics (AGREEprep tool) and the obtained values were compared with those reported for a similar procedure using LPME with common organic solvents such as chloroform or dichloromethane, outperforming them in both cases, which points out the potential of this method from the sustainability point of view.
本文提出了一种基于天然深共熔溶剂（NADES）的液相微萃取（LPME）方法，用于分离水中和生物体液中的不同精神活性物质，随后采用液相色谱-串联质谱（LC-MS/MS）进行分析。在研究萃取条件（如样品和洗脱体积）之前，优化了 NADES 组成（1:2 M 比例的 L-薄荷醇：辛酸），可获得高达 16 倍的浓缩倍数。接下来，研究了质量参数，包括从 LOQs（0.0006-0.05μg L）到 100μg L 的线性范围、精密度（表示为相对标准偏差，RSD≤8%）以及在大多数情况下回收率均高于 70%。采用所提出的方法对经过认证的唾液和血清样本进行了分析，以评估所开发方法的准确性，提供的结果在统计学上与经过认证的值具有可比性。此外，还通过应用绿色指标（AGREEprep 工具）对所提出的方法进行了评估，并且将得到的值与使用常见有机溶剂（如氯仿或二氯甲烷）进行 LPME 的类似方法报告的值进行了比较，在这两种情况下，该方法都表现出了优于其他方法的潜力，从可持续性的角度来看，这突出了该方法的潜力。
