通过整合直接输液和液相色谱非靶向工作流程加强溶解有机物的分子表征。

IF 10.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Jessica Patrone, Maria Vila-Costa, Jordi Dachs, Stefano Papazian, Pablo Gago-Ferrero* and Rubén Gil-Solsona*, 
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引用次数: 0

摘要

水生系统中的溶解有机物(DOM)是水溶性有机化合物的高度异质混合物,是推动生物地球化学循环的主要碳库。因此,了解溶解有机物的分子组成对水生生态系统的健康评估至关重要,但由于其化学成分复杂多变,对其表征提出了挑战。在这里,我们对高度城市化的河水和海水中的 DOM 进行了全面的化学分析,并将其与饮用水进行了比较。通过Orbitrap进行的非靶向直接注入(DI)和液相色谱(LC)高分辨质谱(HRMS)的广泛分析与新型计算工作流程相结合,实现了DOM的分子和结构表征。在所有水样中,使用这两种方法计算出了 7000 多个分子式(DI 中为 4200 个,LC 中为 3600 个)。虽然 DI 方法仅限于分子式计算,但结合库匹配和硅学预测对 MS2 光谱信息进行下游数据处理,可对所有水样中 LC-HRMS 检测到的 16% 的分子空间进行全面的结构表征。事实证明,这两种分析方法互为补充,涵盖了广阔的化学空间,其中包括使用去离子水的高极性化合物和使用液相色谱的低极性化合物。多种分析技术和计算工作流程的创新整合为该领域引入了一个强大且基本可用的框架,提供了一种广泛适用的方法,大大有助于了解 DOM 复杂的分子组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Enhancing Molecular Characterization of Dissolved Organic Matter by Integrative Direct Infusion and Liquid Chromatography Nontargeted Workflows

Enhancing Molecular Characterization of Dissolved Organic Matter by Integrative Direct Infusion and Liquid Chromatography Nontargeted Workflows

Enhancing Molecular Characterization of Dissolved Organic Matter by Integrative Direct Infusion and Liquid Chromatography Nontargeted Workflows

Dissolved organic matter (DOM) in aquatic systems is a highly heterogeneous mixture of water-soluble organic compounds, acting as a major carbon reservoir driving biogeochemical cycles. Understanding DOM molecular composition is thus of vital interest for the health assessment of aquatic ecosystems, yet its characterization poses challenges due to its complex and dynamic chemical profile. Here, we performed a comprehensive chemical analysis of DOM from highly urbanized river and seawater sources and compared it to drinking water. Extensive analyses by nontargeted direct infusion (DI) and liquid chromatography (LC) high-resolution mass spectrometry (HRMS) through Orbitrap were integrated with novel computational workflows to allow molecular- and structural-level characterization of DOM. Across all water samples, over 7000 molecular formulas were calculated using both methods (∼4200 in DI and ∼3600 in LC). While the DI approach was limited to molecular formula calculation, the downstream data processing of MS2 spectral information combining library matching and in silico predictions enabled a comprehensive structural-level characterization of 16% of the molecular space detected by LC-HRMS across all water samples. Both analytical methods proved complementary, covering a broad chemical space that includes more highly polar compounds with DI and more less polar ones with LC. The innovative integration of diverse analytical techniques and computational workflow introduces a robust and largely available framework in the field, providing a widely applicable approach that significantly contributes to understanding the complex molecular composition of DOM.

This work integrates diverse analytical techniques and computational workflows for a comprehensive understanding of dissolved organic matter, including structural-level characterization.

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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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