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优化隐藏目标筛选技术在地表水包括化合物数据库查询中用于非常极性的分子。

Optimized hidden target screening for very polar molecules in surface waters including a compound database inquiry.

机构信息

Technical University of Munich (Chair of Urban Water Systems Engineering), Am Coulombwall 3, 85748, Garching, Germany.

Analytisches Forschungsinstitut für Non-Target Screening GmbH (AFIN-TS), Am Mittleren Moos 48, 86167, Augsburg, Germany.

出版信息

Anal Bioanal Chem. 2020 Aug;412(20):4953-4966. doi: 10.1007/s00216-020-02743-0. Epub 2020 Jun 2.

Abstract

Highly polar trace organic compounds, which are persistent, mobile, and toxic (PMT) or are very persistent and very mobile (vPvM) in the aquatic environment, may pose a risk to surface water, ground water, and drinking water supplies. Despite the advances in liquid chromatography-mass spectrometry, there often exists an analytical blind spot when it comes to very polar chemicals. This study seeks to make a broad polarity range analytically accessible by means of serially coupling reversed-phase liquid chromatography (RPLC) and hydrophilic interaction liquid chromatography (HILIC) to high-resolution mass spectrometry (HRMS). Moreover, a workflow is presented using optimized data processing of nontarget screening (NTS) data and subsequently generating candidate lists for the identification of very polar molecules via an open-access NTS platform and implemented compound database. First, key input parameters and filters of the so-called feature extraction algorithms were identified, and numerical performance indicators were defined to systematically optimize the data processing method. Second, all features from the very polar HILIC elution window were uploaded to the STOFF-IDENT database as part of the FOR-IDENT open-access NTS platform, which contains additional physicochemical information, and the features matched with potential compounds by their accurate mass. The hit list was filtered for compounds with a negative log D value, indicating that they were (very) polar. For instance, 46 features were assigned to 64 candidate compounds originating from a set of 33 samples from the Isar river in Germany. Three PMT candidates (e.g., guanylurea, melamine, and 1,3-dimethylimidazolidin-2-one) were illustratively validated using the respective reference standards. In conclusion, these findings demonstrate that polarity-extended chromatography reproducibly retards and separates (very) polar compounds from surface waters. These findings further indicate that a transparent and robust data processing workflow for nontarget screening data is available for addressing new (very) polar substances in the aqueous environment.

摘要

高度极性痕量有机化合物(PMT)在水体中具有持久性、迁移性和毒性,或者是非常持久性和非常迁移性(vPvM),可能对地表水、地下水和饮用水供应构成风险。尽管液相色谱-质谱联用技术取得了进展,但对于非常极性的化学物质,仍然存在分析上的盲点。本研究旨在通过串联反相液相色谱(RPLC)和亲水相互作用液相色谱(HILIC)与高分辨率质谱(HRMS)相结合,实现广泛的极性范围的分析可达性。此外,还提出了一种使用优化的非靶向筛选(NTS)数据处理和随后通过开放访问的 NTS 平台和实施的化合物数据库生成非常极性分子的候选列表的工作流程。首先,确定了所谓的特征提取算法的关键输入参数和筛选器,并定义了数值性能指标,以系统地优化数据处理方法。其次,将来自非常极性 HILIC 洗脱窗口的所有特征作为 STOFF-IDENT 数据库的一部分上传到 FOR-IDENT 开放访问的 NTS 平台,该平台包含额外的物理化学信息,并通过精确质量匹配潜在化合物的特征。根据负对数 D 值对候选列表进行过滤,指示它们是(非常)极性的。例如,在德国易北河的 33 个样本集中,有 46 个特征被分配给 64 种候选化合物。使用各自的标准品对 3 种 PMT 候选物(如胍基脲、三聚氰胺和 1,3-二甲基咪唑烷-2-酮)进行了实例验证。总之,这些发现表明,扩展极性的色谱法可重复性地延迟和分离(非常)极性化合物从地表水。这些发现进一步表明,针对水环境中的新(非常)极性物质,现在可提供透明且稳健的非靶向筛选数据处理工作流程。

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