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多维分馏在天然有机物研究与表征中的优势。

Benefits of multidimensional fractionation for the study and characterization of natural organic matter.

作者信息

Brown Taylor A, Jackson Benjamin A, Bythell Benjamin J, Stenson Alexandra C

机构信息

Department of Chemistry, University of South Alabama, 307 N University Blvd, Mobile, AL 36688, United States.

Department of Chemistry and Biochemistry, University of Missouri, St. Louis, MO 63121, United States.

出版信息

J Chromatogr A. 2016 Oct 28;1470:84-96. doi: 10.1016/j.chroma.2016.10.005. Epub 2016 Oct 5.

Abstract

The belief that chromatographic separation of complex environmental mixtures or natural organic matter (NOM) produces featureless humps from which little, if anything, can be learned is still pervasive. Meanwhile improvements in chromatography and the use of information-rich detection methods have led to meaningful fractionation and revealed consistent data. Here, we build on this work and developed a robust, facile two-dimensional separation with high orthogonality between dimensions. We illustrate that re-injections of fractions (both in the first and in the second dimension) leads to individual peaks at the expected retention times and use information-rich detection to investigate the basis on which NOM is fractionated. We demonstrate unprecedentedly feature-rich chromatograms are observed even with standard UV detection for polar NOM fractions. The second stage of fractionation is demonstrated to separate isomers, providing a direct look at isomeric complexity in NOM as well as a tool to reduce it. Consistent with expectation, but confirmed for the first time through mass spectral data, radicals were detected for NOM components that were generally nonpolar and grouped in the condensed aromatic structure - like region of van Krevelen plots. High-resolution tandem mass spectral data, furthermore, suggests that many higher-MW components of fulvic acids (especially the highly oxidized ones) have formulas that do not match any known compounds in the literature, supporting the hypothesis that fulvic acids are a unique compound-class. Combined, the data illustrate that meaningful reduction in complexity reveals new compositional and structural detail and avails new avenues of investigation.

摘要

认为对复杂环境混合物或天然有机物(NOM)进行色谱分离会产生毫无特征的峰驼,从中几乎无法学到任何东西的观念仍然普遍存在。与此同时,色谱技术的改进以及信息丰富的检测方法的使用,已实现了有意义的分离,并揭示了一致的数据。在此,我们基于这项工作,开发了一种稳健、简便的二维分离方法,各维度之间具有高度正交性。我们表明,对馏分进行再次进样(在第一维和第二维中)会在预期保留时间处产生单个峰,并使用信息丰富的检测方法来研究NOM分离的基础。我们证明,即使对于极性NOM馏分采用标准紫外检测,也能观察到前所未有的特征丰富的色谱图。分馏的第二阶段被证明可以分离异构体,从而直接观察NOM中的异构体复杂性,并提供一种降低这种复杂性的工具。与预期一致,但首次通过质谱数据得到证实,在通常为非极性且聚集在范克雷维伦图中类似缩合芳香结构区域的NOM组分中检测到了自由基。此外,高分辨率串联质谱数据表明,许多富里酸的高分子量组分(尤其是高度氧化的那些)的分子式与文献中任何已知化合物都不匹配,这支持了富里酸是一种独特化合物类别的假设。综合来看,这些数据表明,复杂性的有意义降低揭示了新的组成和结构细节,并开辟了新的研究途径。

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