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Performance of induction module cavity ring-down spectroscopy (IM-CRDS) for measuring δ18 O and δ2 H values of soil, stem, and leaf waters.
Johnson, J E; Hamann, L; Dettman, D L; Kim-Hak, D; Leavitt, S W; Monson, R K; Papuga, S A.
Afiliação
  • Johnson JE; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.
  • Hamann L; Department of Global Ecology, Carnegie Institution, 260 Panama Street, Stanford, CA, 94305, USA.
  • Dettman DL; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA.
  • Kim-Hak D; Department of Geosciences, University of Arizona, Tucson, AZ, 85721, USA.
  • Leavitt SW; Picarro, Inc., 3105 Patrick Henry Drive, Santa Clara, CA, 95054, USA.
  • Monson RK; Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, 85721, USA.
  • Papuga SA; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA.
Rapid Commun Mass Spectrom ; 31(6): 547-560, 2017 Mar 30.
Article em En | MEDLINE | ID: mdl-28010033
ABSTRACT
RATIONALE Induction module cavity ring-down spectroscopy (IM-CRDS) has been proposed as a rapid and cost-effective alternative to cryogenic vacuum distillation (CVD) and isotope ratio mass spectrometry (IRMS) for the measurement of δ18 O and δ2 H values in matrix-bound waters. In the current study, we characterized the performance of IM-CRDS relative to CVD and IRMS and investigated the mechanisms responsible for differences between the methods.

METHODS:

We collected a set of 75 soil, stem, and leaf water samples, and measured the δ18 O and δ2 H values of each sample with four techniques CVD and IRMS, CVD and CRDS, CVD and IM-CRDS, and IM-CRDS alone. We then calculated the isotopic errors for each of the three CRDS methods relative to CVD and IRMS, and analyzed the relationships among these errors and suites of diagnostic spectral parameters that are indicative of organic contamination.

RESULTS:

The IM-CRDS technique accurately assessed the δ18 O and δ2 H values of pure waters, but exhibited progressively increasing errors for soil waters, stem waters, and leaf waters. For soils, the errors were attributable to subsampling of isotopically heterogeneous source material, whereas for stems and leaves, they were attributable to spectral interference. Unexpectedly, the magnitude of spectral interference was higher for the solid samples analyzed directly via IM-CRDS than for those originally extracted via CVD and then analyzed by IM-CRDS.

CONCLUSIONS:

There are many types of matrix-bound water samples for which IM-CRDS measurements include significant errors from spectral interference. As a result, spectral analysis and validation should be incorporated into IM-CRDS post-processing procedures. In the future, IM-CRDS performance could be improved through (i) identification of the compounds that cause spectral interference, and either (ii) modification of the combustion step to completely oxidize these compounds to CO2 , and/or (iii) incorporation of corrections for these compounds into the spectral fitting models used by the CRDS analyzers. Copyright © 2016 John Wiley & Sons, Ltd.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Isótopos de Oxigênio / Solo / Espectrometria de Massas / Água / Caules de Planta / Folhas de Planta / Deutério Tipo de estudo: Evaluation_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Isótopos de Oxigênio / Solo / Espectrometria de Massas / Água / Caules de Planta / Folhas de Planta / Deutério Tipo de estudo: Evaluation_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article