首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >A multiclass method for the analysis of endocrine disrupting chemicals in human urine samples. Sample treatment by dispersive liquid-liquid microextraction
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A multiclass method for the analysis of endocrine disrupting chemicals in human urine samples. Sample treatment by dispersive liquid-liquid microextraction

机译:一种用于分析人类尿液样本中内分泌干扰物的多类方法。分散液-液微萃取进行样品处理

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摘要

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)C_6 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 40ngmL-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.
机译:人群不断暴露于内分泌干扰物(EDC)。这影响了如今更常见的疾病和综合症的增加。因此,有必要开发新的分析程序来评估暴露量,其最终目的是准确地建立EDC与有害健康影响之间的关系。在本工作中,一种基于样品的分散液-液微萃取(DLLME)处理的新方法用于提取六种对羟基苯甲酸酯(对羟基苯甲酸甲酯,对羟基苯甲酸乙酯,乙基对羟基苯甲酸异丙酯,对羟基苯甲酸异丁酯和丁基对羟基苯甲酸丁酯),六种二苯甲酮(二苯甲酮)尿液样本中的-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)和两种双酚(双酚A和双酚S),然后进行气相色谱-串联质谱(GC-MS) / MS)分析。酶处理可确定目标EDC的总含量。使用多元优化策略可以精确地优化提取参数。对羟基苯甲酸乙酯环-(13)C_6和双酚A-d16用作替代物。发现定量限为0.2至0.5 ng mL〜(-1),日间变异性(以相对标准偏差评估)为2.0%至14.9%。该方法通过与基质匹配的标准校准物进行了验证,然后使用加标样品进行了回收率测定。回收率从94%到105%不等。获得了良好的线性,对羟基苯甲酸酯的浓度分别高达300 ng mL〜(-1),二苯甲酮和双酚的浓度高达40ngmL-1。该方法令人满意地用于测定来自20个随机选择的个体的人尿液样品中的目标化合物。

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