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@ARTICLE{Wang:840140,
      author       = {Wang, Liming and Amelung, Wulf and Willbold, Sabine},
      title        = {{D}iffusion-{O}rdered {N}uclear {M}agnetic {R}esonance
                      {S}pectroscopy ({DOSY}-{NMR}): {A} {N}ovel {T}ool for
                      {I}dentification of {P}hosphorus {C}ompounds in {S}oil
                      {E}xtracts},
      journal      = {Environmental science $\&$ technology},
      volume       = {51},
      number       = {22},
      issn         = {1520-5851},
      address      = {Columbus, Ohio},
      publisher    = {American Chemical Society},
      reportid     = {FZJ-2017-07699},
      pages        = {13256 - 13264},
      year         = {2017},
      abstract     = {Liquid-state, one-dimension 31P 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 translational 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 (R2 = 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 °C. Diffusion rates in soil extracts were again
                      closely related to molecular weight (R2 = 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 31P
                      NMR, although currently the ubiquitous use of this novel
                      methodology is still limited to soils with high organic
                      phosphorus content.},
      cin          = {ZEA-3 / IBG-3},
      ddc          = {050},
      cid          = {I:(DE-Juel1)ZEA-3-20090406 / I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / HITEC - Helmholtz Interdisciplinary Doctoral
                      Training in Energy and Climate Research (HITEC)
                      (HITEC-20170406)},
      pid          = {G:(DE-HGF)POF3-255 / G:(DE-Juel1)HITEC-20170406},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29065692},
      UT           = {WOS:000416496700022},
      doi          = {10.1021/acs.est.7b03322},
      url          = {https://juser.fz-juelich.de/record/840140},
}