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Title: Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Abstract

Natural organic matter is comprised of a highly complex mixture of thousands of organic compounds which, historically, proved difficult to characterize. However, a molecular-level characterization of the organic matter coupled with microbial community analyses is necessary for understanding the thermodynamic and kinetic controls on greenhouse gas (carbon dioxide CO2 and methane, CH4) production. Climate and environmental changes are expected to perturbate the system potentially upsetting complex interactions that influence both the supply of organic matter substrates and the microorganisms performing the transformations. To predict the direction and magnitude of the effects of environmental changes however, a detailed molecular characterization of the organic matter, microbial community, and the pathways and transformations by which organic matter is decomposed is required. Herein we describe a methodological throughput for comprehensive metabolite characterization in a single sample by direct injection Fourier transform ion cyclotron resonance mass spectrometry (FTICRMS), gas chromatography mass spectrometry (GCMS), nuclear magnetic resonance (NMR), and liquid chromatography mass spectrometry (LCMS). This approach results in a fully-paired dataset which improves statistical confidence for inferring pathways of organic matter decomposition, the resulting CO2 and CH4 production rates, and their responses to environmental perturbation.

Authors:
; ; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1502126
Report Number(s):
PNNL-SA-138197
Journal ID: ISSN 1940-087X; jove
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Journal of Visualized Experiments
Additional Journal Information:
Journal Issue: 143; Journal ID: ISSN 1940-087X
Publisher:
MyJoVE Corp.
Country of Publication:
United States
Language:
English
Subject:
Fourier transform ion cyclotron resonance mass spectrometry, high-resolution analytical techniques, peatlands, dissolved organic matter, microbial decomposition, Environmental metabolomics, proteomics

Citation Formats

Tfaily, Malak M., Wilson, Rachel M., Brewer, Heather M., Chu, Rosalie K., Heyman, Heino M., Hoyt, David W., Kyle, Jennifer E., and Purvine, Samuel O. Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures. United States: N. p., 2019. Web. doi:10.3791/59035.
Tfaily, Malak M., Wilson, Rachel M., Brewer, Heather M., Chu, Rosalie K., Heyman, Heino M., Hoyt, David W., Kyle, Jennifer E., & Purvine, Samuel O. Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures. United States. doi:10.3791/59035.
Tfaily, Malak M., Wilson, Rachel M., Brewer, Heather M., Chu, Rosalie K., Heyman, Heino M., Hoyt, David W., Kyle, Jennifer E., and Purvine, Samuel O. Tue . "Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures". United States. doi:10.3791/59035.
@article{osti_1502126,
title = {Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures},
author = {Tfaily, Malak M. and Wilson, Rachel M. and Brewer, Heather M. and Chu, Rosalie K. and Heyman, Heino M. and Hoyt, David W. and Kyle, Jennifer E. and Purvine, Samuel O.},
abstractNote = {Natural organic matter is comprised of a highly complex mixture of thousands of organic compounds which, historically, proved difficult to characterize. However, a molecular-level characterization of the organic matter coupled with microbial community analyses is necessary for understanding the thermodynamic and kinetic controls on greenhouse gas (carbon dioxide CO2 and methane, CH4) production. Climate and environmental changes are expected to perturbate the system potentially upsetting complex interactions that influence both the supply of organic matter substrates and the microorganisms performing the transformations. To predict the direction and magnitude of the effects of environmental changes however, a detailed molecular characterization of the organic matter, microbial community, and the pathways and transformations by which organic matter is decomposed is required. Herein we describe a methodological throughput for comprehensive metabolite characterization in a single sample by direct injection Fourier transform ion cyclotron resonance mass spectrometry (FTICRMS), gas chromatography mass spectrometry (GCMS), nuclear magnetic resonance (NMR), and liquid chromatography mass spectrometry (LCMS). This approach results in a fully-paired dataset which improves statistical confidence for inferring pathways of organic matter decomposition, the resulting CO2 and CH4 production rates, and their responses to environmental perturbation.},
doi = {10.3791/59035},
journal = {Journal of Visualized Experiments},
issn = {1940-087X},
number = 143,
volume = ,
place = {United States},
year = {2019},
month = {1}
}