The DOI matches its Crossref record.
Fluorescence Excitation−Emission Matrix Characterization of Some Sewage-Impacted Rivers
Abstract
Fluorescence excitation-emission matrix (EEM) spectrophotometry was applied to 10 sample sites in six rivers in northeastern England, some of which were adversely impacted by sewage treatment works (STW) discharges, with the aim to investigate whether STW discharge has a significantly distinct fluorescence signature. Upstream, downstream, and STW discharge samples for two STWs demonstrated that treated sewage has a distinct fluorescence EEM, with high tryptophan and fulvic-like fluorescence intensities that are of approximately equal ratio. This signature could be seen in downstream samples. When all 10 sample locations were compared, two trend lines were apparent where STW impacted rivers plotted separately from the other sample locations. Fluorescence EEM signatures were compared to absorption at 254 nm and demonstrated to provide a better fingerprint of sewage-impacted water. It is suggested that fluorescence EEM spectrophotometry can provide a useful tool for the analysis of grab samples taken for both routine and investigative monitoring and has the potential for on-line monitoring of STW impacts on river systems.
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
Cited by
Qu, F., Liang, H., Wang, Z., Wang, H., Yu, H., & Li, G. (2012) · Water Research · doi:10.1016/j.watres.2011.11.051 · Cited by 301
Mladenov, N., Zheng, Y., Miller, M. P., Nemergut, D. R., Legg, T., Simone, B., Hageman, C., Rahman, M. M., Ahmed, K. M., & McKnight, D. M. (2010) · Environmental Science & Technology · doi:10.1021/es901472g · Cited by 243
Lapworth, D. J., Gooddy, D. C., Butcher, A. S., & Morris, B. L. (2008) · Applied Geochemistry · doi:10.1016/j.apgeochem.2008.07.011 · Cited by 107
Metadata
- Authors
- Baker, A.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2001-01-26
- Volume
- 35
- Issue
- 5
- Pages
- 948-953
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2031688730
- Cited by
- 704
- References
- 0
- FWCI
- 30.40
- 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 Excitation−Emission Matrix Characterization of Some Sewage-Impacted Rivers. https://app.cochat.ai/papers/10.1021/es000177t
- The paper
- Baker, A. (2001). Fluorescence Excitation−Emission Matrix Characterization of Some Sewage-Impacted Rivers. Environmental Science & Technology. https://doi.org/10.1021/es000177t
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.
