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Title: Utilization of PARAFAC ‐Modeled Excitation‐Emission Matrix ( EEM ) Fluorescence Spectroscopy to Identify Biogeochemical Processing of Dissolved Organic Matter in a Northern Peatland

Journal Article · · Photochemistry and Photobiology
DOI:https://doi.org/10.1111/php.12448· OSTI ID:1401839
 [1];  [2];  [2];  [2];  [3];  [4];  [4];  [5]
  1. Department of Chemistry &, Biochemistry Florida State University Tallahassee FL 32306‐4390, Department of Earth Ocean and Atmospheric Science Florida State University Tallahassee FL 32306‐4320
  2. Department of Earth Ocean and Atmospheric Science Florida State University Tallahassee FL 32306‐4320
  3. Department of Geology and Geophysics University of Minnesota Minneapolis MN 55455‐0219
  4. Southeast Environmental Research Center and Department of Chemistry &, Biochemistry Florida International University Miami FL 33199
  5. Department of Chemistry &, Biochemistry Florida State University Tallahassee FL 32306‐4390

Abstract In this study, we contrast the fluorescent properties of dissolved organic matter ( DOM ) in fens and bogs in a Northern Minnesota peatland using excitation emission matrix fluorescence spectroscopy with parallel factor analysis ( EEM ‐ PARAFAC ). EEM ‐ PARAFAC identified four humic‐like components and one protein‐like component and the dynamics of each were evaluated based on their distribution with depth as well as across sites differing in hydrology and major biological species. The PARAFAC ‐ EEM experiments were supported by dissolved organic carbon measurements ( DOC ), optical spectroscopy ( UV ‐Vis), and compositional characterization by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectroscopy ( FT ‐ ICR MS ). The FT ‐ ICR MS data indicate that metabolism in peatlands reduces the molecular weights of individual components of DOM , and oxygen‐rich less aromatic molecules are selectively biodegraded. Our data suggest that different hydrologic and biological conditions within the larger peat ecosystem drive molecular changes in DOM , resulting in distinctly different chemical compositions and unique fluorescent fingerprints. PARAFAC modeling of EEM data coupled with ultrahigh resolution FT ‐ ICR MS has the potential to provide significant molecular‐based information on DOM composition that will support efforts to better understand the composition, sources, and diagenetic status of DOM from different terrestrial and aquatic systems.

Sponsoring Organization:
USDOE
Grant/Contract Number:
DE‐SC0007144; DE‐SC0004632
OSTI ID:
1401839
Journal Information:
Photochemistry and Photobiology, Journal Name: Photochemistry and Photobiology Vol. 91 Journal Issue: 3; ISSN 0031-8655
Publisher:
Wiley-BlackwellCopyright Statement
Country of Publication:
United Kingdom
Language:
English
Citation Metrics:
Cited by: 28 works
Citation information provided by
Web of Science

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