Vela-Soria F, Ballesteros O, Zafra-Gómez A, Ballesteros L, Navalón A
Research Group of Analytical Chemistry and Life Sciences, Department of Analytical Chemistry, University of Granada, Campus of Fuentenueva, E-18071 Granada, Spain.
Research Group of Analytical Chemistry and Life Sciences, Department of Analytical Chemistry, University of Granada, Campus of Fuentenueva, E-18071 Granada, Spain.
Talanta. 2014 Nov;129:209-18. doi: 10.1016/j.talanta.2014.05.016. Epub 2014 May 29.
The population is continuously exposed to endocrine disrupting chemicals (EDCs). This has influenced an increase in diseases and syndromes that are more frequent nowadays. Therefore, it is necessary to develop new analytical procedures to evaluate the exposure with the ultimate objective of establishing, in an accurate way, relationships between EDCs and harmful health effects. In the present work, a new method based on a sample treatment by dispersive liquid-liquid microextraction (DLLME) for the extraction of six parabens (methyl-, ethyl-, isopropyl-, propyl-, isobutyl and butylparaben), six benzophenones (benzophenone-1, benzophenone-2, benzophenone-3, benzophenone-6, benzophenone-8 and 4-hydroxybenzophenone) and two bisphenols (bisphenol A and bisphenol S) in human urine samples, followed by gas chromatography-tandem mass spectrometry (GC-MS/MS) analysis is proposed. An enzymatic treatment allows determining the total content of the target EDCs. The extraction parameters were accurately optimized using multivariate optimization strategies. Ethylparaben ring-(13)C6 and bisphenol A-d16 were used as surrogates. Found limits of quantification ranging from 0.2 to 0.5 ng mL(-1) and inter-day variability (evaluated as relative standard deviation) ranging from 2.0% to 14.9%. The method was validated using matrix-matched standard calibration followed by a recovery assay with spiked samples. Recovery rates ranged from 94% to 105%. A good linearity, for concentrations up to 300 ng mL(-1) for parabens and 40 ng mL(-1) for benzophenones and bisphenols, respectively, was obtained. The method was satisfactorily applied for the determination of target compounds in human urine samples from 20 randomly selected individuals.
人群持续暴露于内分泌干扰化学物质(EDCs)中。这已导致如今更为常见的疾病和综合征增多。因此,有必要开发新的分析程序来评估暴露情况,其最终目标是以准确的方式确定EDCs与有害健康影响之间的关系。在本研究中,提出了一种基于分散液液微萃取(DLLME)样品处理方法,用于萃取人尿液样品中的六种对羟基苯甲酸酯(甲基、乙基、异丙基、丙基、异丁基和丁基对羟基苯甲酸酯)、六种二苯甲酮(二苯甲酮-1、二苯甲酮-2、二苯甲酮-3、二苯甲酮-6、二苯甲酮-8和4-羟基二苯甲酮)以及两种双酚(双酚A和双酚S),随后进行气相色谱-串联质谱(GC-MS/MS)分析。酶处理可测定目标EDCs的总含量。使用多变量优化策略准确优化了萃取参数。乙基对羟基苯甲酸酯环-(13)C6和双酚A-d16用作替代物。测定限为0.2至0.5 ng mL(-1),日内变异(以相对标准偏差评估)为2.0%至14.9%。该方法通过基质匹配标准校准进行验证,随后对加标样品进行回收率测定。回收率为94%至105%。分别获得了良好的线性关系,对羟基苯甲酸酯浓度高达300 ng mL(-1),二苯甲酮和双酚浓度高达40 ng mL(-1)。该方法成功应用于20名随机选取个体的人尿液样品中目标化合物的测定。