Electromembrane Extraction in Suspect Screening of Polar Organic Xenobiotics and their Metabolites in Human Urine: A New Approach to Enhance Compound Annotation?

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Mikel Musatadi*, Ali Sahragard*, Eneritz Anakabe, Nestor Etxebarria, Maitane Olivares, Olatz Zuloaga and Manuel Miró, 
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Abstract

Suspect and nontarget screening (SNTS) methodologies using human urine are invaluable strategies for understanding the human exposome. However, very polar organic compounds are often overlooked in those methods due to challenges in sample preparation and chromatographic analysis. Although “dilute-and-shoot” (DS) followed by mixed-mode liquid chromatography–high-resolution mass spectrometry (MMLC-HRMS) might be deemed suitable, complementary strategies are needed to enhance SNTS and expand compound identification. In this context, the potential of nonsupported microelectromembrane extraction (μ-EME) is thoroughly studied as a supplement to DS-MMLC-HRMS. It was demonstrated that μ-EME-MMLC-HRMS enables the refinement of suspect screening results from a 24 h pooled human urine sample. The selective extraction capability of μ-EME for charged analytes, compared to DS, allowed the identification of 24 false positives and 4 false negatives. The confidence level of 6 suspects was also enhanced through μ-EME interpretation. Moreover, nine suspects were identified exclusively in μ-EME experiments due to the urine cleanup provided by that technique. Notably, suspects containing carboxylic acid groups (phase II metabolites) and amines were particularly well-annotated by μ-EME employing selective extraction conditions for acids and bases, respectively. Thus, μ-EME proves to be a confirmatory dimension in MMLC-based SNTS approaches.

Abstract Image

电膜萃取法筛选人尿中极性有机外源物及其代谢物:一种增强化合物注释的新方法?
使用人类尿液的可疑和非靶标筛选(SNTS)方法是了解人类暴露的宝贵策略。然而,由于样品制备和色谱分析方面的挑战,极极性有机化合物在这些方法中经常被忽略。虽然“稀释射击”(DS)之后的混合模式液相色谱-高分辨率质谱(MMLC-HRMS)可能被认为是合适的,但需要补充策略来增强SNTS和扩大化合物鉴定。在此背景下,深入研究了非负载式微电膜萃取(μ-EME)作为DS-MMLC-HRMS的补充的潜力。结果表明,μ-EME-MMLC-HRMS能够从24 h的人尿样本中提取可疑筛选结果。与DS相比,μ-EME对带电分析物的选择性提取能力可识别出24个假阳性和4个假阴性。通过μ-EME解释,提高了6名嫌疑人的置信水平。此外,由于该技术提供的尿液清除,在μ-EME实验中特异性鉴定出9个可疑分子。值得注意的是,含有羧酸基团(II相代谢物)和胺的嫌疑人在μ-EME的选择性提取条件下分别得到了很好的注释。因此,μ-EME在基于mmlc的SNTS方法中被证明是一个验证性维度。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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