Gutiérrez-Martín Daniel, Marquès Montse, Pons-Escoda Albert, Vidal Noemi, Bruna Jordi, Restrepo-Montes Esteban, López-Serna Rebeca, García-Sayago Francisco, Majos Carles, Gago-Ferrero Pablo, Gil-Solsona Rubén
Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center, Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, E-08034 Barcelona, Spain.
Universitat Rovira i Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, Sant Llorenç 21, 43201 Reus, Catalonia, Spain.
MethodsX. 2023 Feb 10;10:102069. doi: 10.1016/j.mex.2023.102069. eCollection 2023.
Little is known about the presence of organic pollutants in human brain (and even less in brain tumors). In this regard, it is necessary to develop new analytical protocols capable of identifying a wide range of exogenous chemicals in this type of samples (by combining target, suspect and non-target strategies). These methodologies should be robust and simple. This is particularly challenging for solid samples, as reliable extraction and clean-up techniques should be combined to obtain an optimal result. Hence, the present study focuses on the development of an analytical methodology that allows the screening of a wide range of organic chemicals in brain and brain tumor samples. This protocol was based on a solid-liquid extraction based on bead beating, solid-phase extraction clean-up with multi-layer mixed-mode cartridges, reconstitution and LC-HRMS analysis. To evaluate the performance of the extraction methodology, a set of 66 chemicals (e.g., pharmaceuticals, biocides, or plasticizers, among others) with a wide range of physicochemical properties was employed. Quality control parameters (i.e., linear range, sensitivity, matrix effect (ME%), and recoveries (R%)) were calculated and satisfactory results were obtained for them (e.g., R% within 60-120% for 32 chemicals, or ME% higher than 50% (signal suppression) for 79% of the chemicals).
关于人体大脑中有机污染物的存在情况所知甚少（在脑肿瘤中更是知之甚少）。在这方面，有必要开发新的分析方案，以便能够识别这类样本中的多种外源性化学物质（通过结合靶向、可疑和非靶向策略）。这些方法应该可靠且简单。对于固体样本而言，这尤其具有挑战性，因为需要结合可靠的提取和净化技术以获得最佳结果。因此，本研究专注于开发一种分析方法，用于筛查大脑和脑肿瘤样本中的多种有机化学物质。该方案基于珠磨法的固液萃取、使用多层混合模式柱进行固相萃取净化、复溶以及液相色谱 - 高分辨质谱分析。为了评估萃取方法的性能，采用了一组66种具有广泛物理化学性质的化学物质（例如药物、杀菌剂或增塑剂等）。计算了质量控制参数（即线性范围、灵敏度、基质效应（ME%）和回收率（R%）），并获得了令人满意的结果（例如，32种化学物质的R%在60 - 120%之间，或者79%的化学物质的ME%高于50%（信号抑制））。
