Advanced search
1 file | 1.11 MB Add to list

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

Author
Organization
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.
Keywords
HEAVY-METAL POLLUTION, VIBRIO-FISCHERI, DAPHNIA-MAGNA, ECOTOXICOLOGICAL, CHARACTERIZATION, ECOLOGICAL ASSESSMENT, DIATOM COMMUNITY, RUNNING, WATERS, FISH, CONTAMINATION, MARINE, Aquatic plants, Bioassay, Biological indicators, Microorganisms, Multi-descriptor index, Multiple endpoints, Receiving water

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.11 MB

Citation

Please use this url to cite or link to this publication:

MLA
Pandey, Lalit K., et al. “Towards a Multi-Bioassay-Based Index for Toxicity Assessment of Fluvial Waters.” ENVIRONMENTAL MONITORING AND ASSESSMENT, vol. 191, no. 2, 2019.
APA
Pandey, L. K., Lavoie, I., Morin, S., Depuydt, S., Lyu, J., Lee, H., … Park, J. (2019). Towards a multi-bioassay-based index for toxicity assessment of fluvial waters. ENVIRONMENTAL MONITORING AND ASSESSMENT, 191(2).
Chicago author-date
Pandey, Lalit K, Isabelle Lavoie, Soizic Morin, Stephen Depuydt, Jie Lyu, Hojun Lee, Jinho Jung, Dong-Hyuk Yeom, Taejun Han, and Jihae Park. 2019. “Towards a Multi-Bioassay-Based Index for Toxicity Assessment of Fluvial Waters.” ENVIRONMENTAL MONITORING AND ASSESSMENT 191 (2).
Chicago author-date (all authors)
Pandey, Lalit K, Isabelle Lavoie, Soizic Morin, Stephen Depuydt, Jie Lyu, Hojun Lee, Jinho Jung, Dong-Hyuk Yeom, Taejun Han, and Jihae Park. 2019. “Towards a Multi-Bioassay-Based Index for Toxicity Assessment of Fluvial Waters.” ENVIRONMENTAL MONITORING AND ASSESSMENT 191 (2).
Vancouver
1.
Pandey LK, Lavoie I, Morin S, Depuydt S, Lyu J, Lee H, et al. Towards a multi-bioassay-based index for toxicity assessment of fluvial waters. ENVIRONMENTAL MONITORING AND ASSESSMENT. 2019;191(2).
IEEE
[1]
L. K. Pandey et al., “Towards a multi-bioassay-based index for toxicity assessment of fluvial waters,” ENVIRONMENTAL MONITORING AND ASSESSMENT, vol. 191, no. 2, 2019.
@article{8623808,
  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.},
  articleno    = {112},
  author       = {Pandey, Lalit K and Lavoie, Isabelle and Morin, Soizic and Depuydt, Stephen and Lyu, Jie and Lee, Hojun and Jung, Jinho and Yeom, Dong-Hyuk and Han, Taejun and Park, Jihae},
  issn         = {0167-6369},
  journal      = {ENVIRONMENTAL MONITORING AND ASSESSMENT},
  keywords     = {HEAVY-METAL POLLUTION,VIBRIO-FISCHERI,DAPHNIA-MAGNA,ECOTOXICOLOGICAL,CHARACTERIZATION,ECOLOGICAL ASSESSMENT,DIATOM COMMUNITY,RUNNING,WATERS,FISH,CONTAMINATION,MARINE,Aquatic plants,Bioassay,Biological indicators,Microorganisms,Multi-descriptor index,Multiple endpoints,Receiving water},
  language     = {eng},
  number       = {2},
  pages        = {19},
  title        = {Towards a multi-bioassay-based index for toxicity assessment of fluvial waters},
  url          = {http://dx.doi.org/10.1007/s10661-019-7234-5},
  volume       = {191},
  year         = {2019},
}

Altmetric
View in Altmetric
Web of Science
Times cited: