SPRUCE Advanced Molecular Techniques Provide a Rigorous Method for Characterizing Organic Matter Quality in Complex Systems: Supporting Data

Wilson, Rachel M; Tfaily, Malak M

doi:10.25581/spruce.050/1431334

Title: SPRUCE Advanced Molecular Techniques Provide a Rigorous Method for Characterizing Organic Matter Quality in Complex Systems: Supporting Data

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Abstract

These data are provided in support of the Commentary, Advanced molecular techniques provide a rigorous method for characterizing organic matter quality in complex systems, Wilson and Tfaily (2018). Measurement results demonstrate that optical characterization of peatland dissolved organic matter (DOM) may not fully capture classically identified chemical characteristics and may, therefore, not be the best measure of organic matter quality.

Authors:

;

ORNL

Publication Date:: 2017-12-31

DOE Contract Number:: AC05-00OR22725

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Climate and Environmental Sciences Division

Subject:: 54 ENVIRONMENTAL SCIENCES; Organic Matter Quality, methane production, optical properties, FTICRMS

OSTI Identifier:: 1431334

DOI:: https://doi.org/10.25581/spruce.050/1431334

Citation Formats


                    Wilson, Rachel M, and Tfaily, Malak M. SPRUCE Advanced Molecular Techniques Provide a Rigorous Method for Characterizing Organic Matter Quality in Complex Systems: Supporting Data.  United States: N. p., 2017. 
        Web.  doi:10.25581/spruce.050/1431334.

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                    Wilson, Rachel M, & Tfaily, Malak M. SPRUCE Advanced Molecular Techniques Provide a Rigorous Method for Characterizing Organic Matter Quality in Complex Systems: Supporting Data.  United States.  doi:https://doi.org/10.25581/spruce.050/1431334

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                    Wilson, Rachel M, and Tfaily, Malak M. 2017.  
"SPRUCE Advanced Molecular Techniques Provide a Rigorous Method for Characterizing Organic Matter Quality in Complex Systems: Supporting Data".  United States.  doi:https://doi.org/10.25581/spruce.050/1431334.  https://www.osti.gov/servlets/purl/1431334. Pub date:Sun Dec 31 23:00:00 EST 2017

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@article{osti_1431334,

  title        = {SPRUCE Advanced Molecular Techniques Provide a Rigorous Method for Characterizing Organic Matter Quality in Complex Systems: Supporting Data},

  author       = {Wilson, Rachel M and Tfaily, Malak M},

  abstractNote = {These data are provided in support of the Commentary, Advanced molecular techniques provide a rigorous method for characterizing organic matter quality in complex systems, Wilson and Tfaily (2018). Measurement results demonstrate that optical characterization of peatland dissolved organic matter (DOM) may not fully capture classically identified chemical characteristics and may, therefore, not be the best measure of organic matter quality.},

  doi          = {10.25581/spruce.050/1431334},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2017},

  month        = {12}

}

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DOI: https://doi.org/10.25581/spruce.050/1431334

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Advanced Molecular Techniques Provide New Rigorous Tools for Characterizing Organic Matter Quality in Complex Systems

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Advanced Molecular Techniques Provide New Rigorous Tools for Characterizing Organic Matter Quality in Complex Systems

Journal Article Wilson, Rachel M. ; Tfaily, Malak M. - Journal of Geophysical Research. Biogeosciences

We report that carbon flux rates are widely understood to be substrate controlled; however, characterizing substrate quality continues to be a challenge. We suggest that, while optical measurements have their place, they are not the only, or the best, tool for characterizing organic matter quality. Nominal oxidation state of the carbon provides a thermodynamically relevant measure, which could be used as a metric of organic matter quality. Lastly, calculating nominal oxidation state of the carbon requires a suite of advanced complementary analysis but is then trivial to calculate from the resulting data sets.
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