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Behavior of Reoccurring PARAFAC Components in Fluorescent Dissolved Organic Matter in Natural and Engineered Systems: A Critical Review

Ishii, Stephanie K. L., Boyer, Treavor H.·2012·Environmental Science & Technology

Abstract

Fluorescence spectroscopy coupled with parallel factor analysis (PARAFAC) has been widely used to characterize dissolved organic matter (DOM). Characterization is based on the intensity and location of independent fluorescent components identified in models constructed from excitation-emission matrices (EEMs). Similar fluorescent components have been identified in PARAFAC studies across a wide range of systems; however, there is a lack of discussion regarding the consistency with which these similar components behave. The overall goal of this critical review is to compare results for PARAFAC studies published since the year 2000 which include one or more of three reoccurring humic-like components. Components are compared and characterized based on EEM location, characteristic ecosystems, and behavior in natural and engineered systems. This synthesis allows PARAFAC users to more confidently infer DOM characteristics based on identified components. Additionally, behavioral inconsistencies between similar components help elucidate DOM properties for which fluorescence spectroscopy with PARAFAC may be a weak predictive tool.

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Metadata

Authors
Ishii, S. K. L., & Boyer, T. H.
Venue
Environmental Science & Technology
Published
2012-02-07
Volume
46
Issue
4
Pages
2006-2017
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2322116336
Cited by
961
References
2
FWCI
32.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Behavior of Reoccurring PARAFAC Components in Fluorescent Dissolved Organic Matter in Natural and Engineered Systems: A Critical Review. https://app.cochat.ai/papers/10.1021/es2043504
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Ishii, S. K. L., & Boyer, T. H. (2012). Behavior of Reoccurring PARAFAC Components in Fluorescent Dissolved Organic Matter in Natural and Engineered Systems: A Critical Review. Environmental Science & Technology. https://doi.org/10.1021/es2043504

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.