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有机体内的无机物:使用 HPLC-ICPMS 定量分析天然有机物中的有机磷和硫以及微量元素形态。

Inorganics in organics: quantification of organic phosphorus and sulfur and trace element speciation in natural organic matter using HPLC-ICPMS.

机构信息

Alfred Wegener Institute for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany.

出版信息

Anal Chem. 2011 Dec 1;83(23):8968-74. doi: 10.1021/ac201765a. Epub 2011 Nov 1.

DOI:10.1021/ac201765a
PMID:21992549
Abstract

A method is presented for the chemical characterization of natural organic matter (NOM). We combined reversed-phase chromatographic separation of NOM with high resolution inductively coupled plasma mass spectrometry. A desolvation technique was used to remove organic solvent derived from the preceding chromatographic separation. We applied our method to solid-phase extracted marine dissolved organic matter samples from South Atlantic and Antarctic surface waters. The method provided a direct and quantitative determination of dissolved organic phosphorus and sulfur in fractions of differing polarity and also allowed simultaneous speciation studies of trace elements. Dissolved organic carbon/phosphorus and carbon/sulfur ratios for the different chromatographic fractions of our two samples ranged between 341-3025 for C/P and 11-1225 for C/S. Differences in elemental distribution between the fractions were attributed to different biochemical environments of the samples. Sulfur was exclusively found in one hydrophilic fraction, while uranium showed a strong affinity to the hydrophobic fractions. Our method was designed to be easily adapted to other separation techniques. The elemental information will deliver valuable information for ultrahigh resolution molecular analyses.

摘要

本文提出了一种用于天然有机物(NOM)化学特性分析的方法。我们将 NOM 的反相色谱分离与高分辨率电感耦合等离子体质谱相结合。采用了一种去溶剂技术来去除前序色谱分离过程中产生的有机溶剂。我们将该方法应用于从南大西洋和南极表层水中固相萃取得到的海洋溶解有机物样品。该方法能够直接定量测定不同极性馏分中的溶解有机磷和硫,还可同时进行微量元素的形态研究。我们的两个样品的不同色谱馏分的溶解有机碳/磷和碳/硫比值范围分别为 341-3025(C/P)和 11-1225(C/S)。馏分之间元素分布的差异归因于样品所处的不同生化环境。硫仅存在于一个亲水性馏分中,而铀则对疏水性馏分具有很强的亲和力。我们的方法旨在易于适应其他分离技术。这些元素信息将为超高分辨率分子分析提供有价值的信息。

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