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Diffusion-Ordered Nuclear Magnetic Resonance Spectroscopy (DOSY-NMR): A Novel Tool for Identification of Phosphorus Compounds in Soil Extracts

机译:扩散有序核磁共振波谱(DOSY-NMR):一种用于鉴定土壤提取物中磷化合物的新型工具

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摘要

Liquid-state, one-dimension ~(31)P nuclear magnetic resonance spectroscopy (NMR) has greatly advanced our understanding of the composition of organic phosphorus in the environment. However, the correct assignment of signals is complicated by overlapping and shifting signals in different types of soils. We applied therefore for the first time diffusion-ordered spectroscopy (DOSY) to soil extracts, allowing us to separate phosphorus components in the second domain based on their translauonal diffusion coefficients. After successful application to a mixture of 14 model compounds, diffusion rates correlated closely with the molecular weight of the individual compound in aqueous solution (R~2 = 0.97). The method was then applied to NaOH/ EDTA extracts of a grassland soil, of which paramagnetic contaminations were removed with sodium sulfide following high-velocity centrifugation (21 500g, 45 min) at 4 ℃. Diffusion rates in soil extracts were again closely related to molecular weight (R~2 = 0.98), varying from 163.9 to 923.8 Da. However, our DOSY application failed for a forest soil with low organic phosphorus content. Overall, DOSY did help to clearly identify specific NMR signals like myo- and scyllo-inositol hexakisphosphate. It thus provides a more confident signal assignment than 1D ~(31)P NMR, although currently the ubiquitous use of this novel methodology is still limited to soils with high organic phosphorus content.
机译:液态一维〜(31)P核磁共振波谱(NMR)大大提高了我们对环境中有机磷组成的了解。然而,信号的正确分配由于在不同类型的土壤中信号的重叠和移动而变得复杂。因此,我们首次将扩散有序光谱法(DOSY)应用于土壤提取物,从而使我们能够根据其跨月桂酸扩散系数在第二域中分离磷成分。成功应用于14种模型化合物的混合物后,扩散速率与单个化合物在水溶液中的分子量密切相关(R〜2 = 0.97)。然后将该方法应用于草原土壤的NaOH / EDTA提取物,在4℃高速离心(21 500g,45分钟)后,用硫化钠除去了顺磁污染物。土壤提取物中的扩散速率再次与分子量密切相关(R〜2 = 0.98),从163.9到923.8 Da。但是,对于有机磷含量低的森林土壤,我们的DOSY应用失败。总体而言,DOSY确实有助于清楚地识别特定的NMR信号,例如肌醇和鲨肌醇六磷酸酯。因此,与1D〜(31)P NMR相比,它提供了更可靠的信号分配,尽管目前这种新方法的普遍使用仍然限于有机磷含量高的土壤。

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  • 来源
    《Environmental Science & Technology》 |2017年第22期|13256-13264|共9页
  • 作者单位

    Central Institute for Engineering, Electronics and Analytics, Analytics (ZEA-3), Juelich, Germany;

    Institute of Bio- and Geosciences, Agrosphere Institute (IBG-3), Forschungszentrum Juelich GmbH, Wilhelm Johnen Straße, 52425 Juelich, Germany ,Institute of Crop Science and Resource Conservation, Soil Science and Soil Ecology, University of Bonn, Nufiallee 13, D-53115 Bonn, Germany;

    Central Institute for Engineering, Electronics and Analytics, Analytics (ZEA-3), Juelich, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-17 13:57:58

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