Towards a multi-bioassay-based index for toxicity assessment of fluvial waters View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Lalit K. Pandey, Isabelle Lavoie, Soizic Morin, Stephen Depuydt, Jie Lyu, Hojun Lee, Jinho Jung, Dong-Hyuk Yeom, Taejun Han, Jihae Park

ABSTRACT

Despite their proven reliability for revealing 'acceptable' degrees of toxicity in waste- and reclaimed waters, bioassays are rarely used to assess the toxicity of hazardous contaminants present in natural waters. In this study, we used organisms from different trophic levels to assess the toxicity of water samples collected from four different South Korean rivers. The main objective was to develop a multi-descriptor index of toxicity for undiluted river water. The responses of six test organisms (Aliivibrio fischeri, Pseudokirchneriella subcapitata, Heterocypris incongruens, Moina macrocopa, Danio rerio and Lemna minor) after laboratory exposure to water samples were considered for this index, as well as the frequency of teratologies in diatom assemblages. Each individual test was attributed a toxicity class and score (three levels; no toxicity = 0, low toxicity = 1, confirmed toxicity = 2) based on the organism's response after exposure and a total score was calculated. The proposed index also considers the number of test organisms that received the highest toxicity score (value = 2). An overall toxicity category was then attributed to the water sample based on those two metrics: A = no toxicity, B = slight toxicity, C = moderate toxicity; D = toxicity and E = high toxicity. The susceptibility of the test organisms varied greatly and the sensitivity of their response also differed among bioassays. The combined responses of organisms from different trophic levels and with different life strategies provided multi-level diagnostic information about the intensity and the nature of contamination. More... »

PAGES

112

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10661-019-7234-5

DOI

http://dx.doi.org/10.1007/s10661-019-7234-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111759662

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30693376


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443 https://www.grid.ac/institutes/grid.48142.3b schema:alternateName National Research Institute of Science and Technology for Environment and Agriculture
444 schema:name Irstea, UR EABX, 50 avenue de Verdun, 33612, Cestas Cedex, France
445 rdf:type schema:Organization
 




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