Cited by 96Aquatic Ecosystems and Phytoplankton DynamicsWater Quality Monitoring and AnalysisMarine and coastal ecosystems

Use of fluorescence fingerprints for the estimation of bloom formation and toxin production of Microcystis aeruginosa

Ziegmann, Markus, Abert, Michael, Müller, Margit, Frimmel, Fritz H.·2010·Water Research

Abstract

The development of methods facilitating the detection of cyanobacterial blooms in drinking water reservoirs at an early stage is of great importance. Fluorescence spectroscopy could meet these requirements. The study contains the examination of possible correlations between the different maxima of a fluorescence excitation-emission matrix and the amount of produced and excreted toxins of a lab culture of Microcystis aeruginosa at different stages of growth. Various fluorescence signals (protein-like and humic-like substances, pigments) are suited for an estimation of cell density and actual intra- and extracellular toxin concentration. One signal at 315nm/396nm presumably originating from protein-like substances might be useful as a tool for the prediction of increasing cyanobacterial toxin concentrations. As the measurement of fluorescence matrices is still time consuming, synchronous scans with Deltalambda=80nm were tested as a potential alternative. They accurately depict the course of protein-like and humic-like fluorescence during the different stages of growth although especially the latter one is not captured at its maximum. However, due to insufficient separation of chlorophyll a and phycocyanin, the image of the matrix maxima by synchronous scans with Deltalambda=80nm can only be used with minor restrictions. Nevertheless, fluorescence spectroscopy seems to be a powerful tool for the evaluation of cyanobacterial blooms.

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Crossref · 10.1016/j.watres.2009.09.035

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  • Fluorescence spectroscopy has the possibility to estimate algal blooms.

    “Other reports show the potential of this technique to distinguish several chlorophylls (a, b, and c) and their degradation products (pheophytin a and b, and pheoporphyrin c in acetone: water model‐solutions (Moberg et al., 2001) and the possibility to estimate algal blooms (Gregor and Maršálek, 2005; Ziegmann et al., 2010).”

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Authors
Ziegmann, M., Abert, M., Müller, M., & Frimmel, F. H.
Affiliations
  • Karlsruhe Institute of Technology (DE)
  • Wala Heilmittel (Germany) (DE)
Corresponding author
Ziegmann, Markus
Venue
Water Research
Publisher
Elsevier BV
Published
2010-01
Volume
44
Issue
1
Pages
195-204
ISSN
0043-1354 (ISSN-L)
OpenAlex
W2071892382
Cited by
96
References
1
Citations by year
2026: 2 · 2025: 5 · 2024: 10 · 2023: 5 · 2022: 5 · 2021: 5 · 2020: 5 · 2019: 7 · 2018: 10 · 2017: 5 · 2016: 7 · 2015: 7 · 2014: 5 · 2013: 4 · 2012: 5
FWCI
3.54
Type
journal article
Language
en
Open access
closed
Locations
  • Water Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (FR536/31)
  • Bundesministerium für Bildung und Forschung (FKZ02WT0480)
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
  • Physical Sciences › Environmental Science › Waste Management and Disposal › Water Quality Monitoring and Analysis
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
Keywords
Microcystis aeruginosa, cyanobacterial blooms, cyanotoxins, fluorescence excitation-emission matrix, protein-like fluorescence, humic-like fluorescence, chlorophyll a, phycocyanin, drinking water reservoirs, bloom prediction, cell density estimation, toxin excretion
MeSH terms
Cyanobacteria Toxins, Bacterial Toxins, Chromatography, High Pressure Liquid, Fluorescence, Marine Toxins, Microcystis, Microcystins

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