In Vivo Phycocyanin Flourometry as a Potential Rapid Screening Tool for Predicting Elevated Microcystin Concentrations at Eutrophic Lakes
| Autor: | Jiyoung Lee, Stanley Lemeshow, Cheonghoon Lee, Timothy J. Buckley, Jason W. Marion, J. R. Wilkins, Evan J. Waletzko |
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| Rok vydání: | 2012 |
| Předmět: |
Chlorophyll
DNA Bacterial Microcystis Microcystins Fresh Water Microcystin Real-Time Polymerase Chain Reaction Bathing Beaches World health Human health Recreational water quality Phycocyanin polycyclic compounds Environmental Chemistry Fluorometry Screening tool Ohio chemistry.chemical_classification Chlorophyll A General Chemistry Eutrophication Logistic Models chemistry Environmental chemistry Environmental science Marine Toxins Water quality Water Microbiology Water Pollutants Chemical Environmental Monitoring |
| Zdroj: | Environmental Science & Technology. 46:4523-4531 |
| ISSN: | 1520-5851 0013-936X |
| Popis: | Current approaches for assessing human health risks associated with cyanotoxins often rely on the quantification of microcystin. Significant limitations of current approaches are cost and time to obtain a result. To address these challenges, a numerical index for screening microcystin risks above the World Health Organization's (WHO) low-risk threshold for microcystin was developed for eutrophic Midwestern U.S. lakes based on water quality results from 182 beach water samples collected from seven Ohio lakes. In 48 (26.4%) samples we observed microcystin concentrations as measured by ELISA that exceeded the 4 μg/L microcystin threshold. A multivariable logistic regression model using practical real-time measures of in vivo phycocyanin (by fluorometry) and secchi depth was constructed to estimate the probability of a beach sample exceeding 4 μg/L microcystin. The final model achieved statistical significance (p = 0.030) as well as good calibration (as measured by the goodness-of-fit test comparing observed to expected counts within deciles of risk based on the model, p = 0.329) and discrimination (as indicated by the area under the receiver-operator-curve (0.795)). These results demonstrate two rapid and practical measures of recreational water quality are effective in identifying "at risk" lake conditions warranting additional management (e.g., advisory and/or advanced testing). |
| Databáze: | OpenAIRE |
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