The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Fluorescence Tracking of Dissolved and Particulate Organic Matter Quality in a River-Dominated Estuary
Abstract
Excitation-emission matrix (EEM) fluorescence was combined with parallel factor analysis (PARAFAC) to model base-extracted particulate (POM) and dissolved (DOM) organic matter quality in the Neuse River Estuary (NRE), North Carolina, before and after passage of Hurricane Irene in August 2011. Principle components analysis was used to determine that four of the PARAFAC components (C1-C3 and C6) were terrestrial sources to the NRE. One component (C4), prevalent in DOM of nutrient-impacted streams and estuaries and produced in phytoplankton cultures, was enriched in the POM and in surface sediment pore water DOM. One component (C5) was related to recent autochthonous production. Photoexposure of unfiltered Neuse River water caused an increase in slope ratio values (S(R)) which corresponded to an increase in the ratio C2:C3 for DOM, and the production of C4 fluorescence in both POM and DOM. Changes to the relative abundance of C4 in POM and DOM indicated that advection of pore water DOM from surface sediments into overlying waters could increase the autochthonous quality of DOM in shallow microtidal estuaries. Modeling POM and DOM simultaneously with PARAFAC is an informative technique that is applicable to assessments of estuarine water quality.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Principles of Fluorescence Spectroscopy
Lakowicz, J. R. (1999) · Springer eBooks · doi:10.1007/978-1-4757-3061-6 · Cited by 26,947
Principles of Fluorescence Spectroscopy
(2006) · Springer eBooks · doi:10.1007/978-0-387-46312-4 · Cited by 19,339
Helms, J. R., Stubbins, A., Ritchie, J. D., Minor, E. C., Kieber, D. J., & Mopper, K. (2008) · Limnology and Oceanography · doi:10.4319/lo.2008.53.3.0955 · Cited by 2,958
Stedmon, C. A., Markager, S., & Bro, R. (2003) · Marine Chemistry · doi:10.1016/s0304-4203(03)00072-0 · Cited by 2,019
Fellman, J. B., Hood, E., & Spencer, R. G. M. (2010) · Limnology and Oceanography · doi:10.4319/lo.2010.55.6.2452 · Cited by 1,418
Biophysical controls on organic carbon fluxes in fluvial networks
Battin, T. J., Kaplan, L. A., Findlay, S., Hopkinson, C. S., Marti, E., Packman, A. I., Newbold, J. D., & Sabater, F. (2008) · Nature Geoscience · doi:10.1038/ngeo101 · Cited by 1,403
Marine Optical Biogeochemistry: The Chemistry of Ocean Color
Coble, P. G. (2007) · Chemical Reviews · doi:10.1021/cr050350+ · Cited by 1,238
Evans, C. D., Monteith, D. T., & Cooper, D. M. (2005) · Environmental Pollution · doi:10.1016/j.envpol.2004.12.031 · Cited by 1,005
Organic Matter Fluorescence in Municipal Water Recycling Schemes: Toward a Unified PARAFAC Model
Murphy, K. R., Hambly, A., Singh, S., Henderson, R. K., Baker, A., Stuetz, R., & Khan, S. J. (2011) · Environmental Science & Technology · doi:10.1021/es103015e · Cited by 857
Sorptive preservation of labile organic matter in marine sediments
Keil, R. G., Montluçon, D. B., Prahl, F. G., & Hedges, J. I. (1994) · Nature · doi:10.1038/370549a0 · Cited by 820
Cited by
Photochemically induced formation of reactive oxygen species (ROS) from effluent organic matter
Zhang, D., Yan, S., & Song, W. (2014) · Environmental Science & Technology · doi:10.1021/es5028663 · Cited by 385
Xu, H., & Guo, L. (2017) · Water Research · doi:10.1016/j.watres.2017.04.006 · Cited by 285
Liu, Y., Ye, Q., Huang, W.-L., Feng, L., Wang, Y.-H., Xie, Z., Yong, S.-S., Zhang, S., Jiang, B., Zheng, Y., et al. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.136307 · Cited by 75
Metadata
- Authors
- Osburn, C. L., Handsel, L. T., Mikan, M. P., Paerl, H. W., & Montgomery, M. T.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-07-30
- Volume
- 46
- Issue
- 16
- Pages
- 8628-8636
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2080751689
- Cited by
- 398
- References
- 37
- FWCI
- 11.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fluorescence Tracking of Dissolved and Particulate Organic Matter Quality in a River-Dominated Estuary. https://app.cochat.ai/papers/10.1021/es3007723
- The paper
- Osburn, C. L., Handsel, L. T., Mikan, M. P., Paerl, H. W., & Montgomery, M. T. (2012). Fluorescence Tracking of Dissolved and Particulate Organic Matter Quality in a River-Dominated Estuary. Environmental Science & Technology. https://doi.org/10.1021/es3007723
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
