Use of fish embryo toxicity tests for the prediction of acute fish toxicity to chemicals

2013 ◽  
Vol 32 (8) ◽  
pp. 1768-1783 ◽  
Author(s):  
Scott E. Belanger ◽  
Jane M. Rawlings ◽  
Gregory J. Carr
Keyword(s):  
Toxicity Tests ◽  
Fish Embryo ◽  
Fish Toxicity ◽  
Embryo Toxicity

scholarly journals Evaluation of a Bayesian Network for Strengthening the Weight of Evidence to Predict Acute Fish Toxicity from Fish Embryo Toxicity Data

2020 ◽  
Vol 16 (4) ◽  
pp. 452-460 ◽  
Author(s):  
Adam Lillicrap ◽  
S Jannicke Moe ◽  
Raoul Wolf ◽  
Kristin A Connors ◽  
Jane M Rawlings ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Weight Of Evidence ◽  
Toxicity Data ◽  
Fish Embryo ◽  
Fish Toxicity ◽  
Embryo Toxicity

Fish embryo tests and acute fish toxicity tests are interchangeable in the application of the threshold approach

2019 ◽  
Vol 38 (3) ◽  
pp. 671-681 ◽  
Author(s):  
Jane M. Rawlings ◽  
Scott E. Belanger ◽  
Kristin A. Connors ◽  
Gregory J. Carr
Keyword(s):  
Toxicity Tests ◽  
Fish Embryo ◽  
Fish Toxicity ◽  
Threshold Approach

scholarly journals Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence

2019 ◽  
Author(s):  
S. Jannicke Moe ◽  
Anders L. Madsen ◽  
Kristin A. Connors ◽  
Jane M. Rawlings ◽  
Scott E. Belanger ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Expert Knowledge ◽  
Weight Of Evidence ◽  
List Type ◽  
Toxicity Data ◽  
Web Interface ◽  
Fish Embryo ◽  
Fish Toxicity ◽  
Embryo Toxicity ◽  
Lines Of Evidence

AbstractA Bayesian network was developed for predicting the acute toxicity intervals of chemical substances to fish, based on information on fish embryo toxicity (FET) in combination with other information. This model can support the use of FET data in a Weight-of-Evidence (WOE) approach for replacing the use of juvenile fish. The BN predicted correct toxicity intervals for 69%-80% of the tested substances. The model was most sensitive to components quantified by toxicity data, and least sensitive to components quantified by expert knowledge. The model is publicly available through a web interface. Further development of this model should include additional lines of evidence, refinement of the discretisation, and training with a larger dataset for weighting of the lines of evidence. A refined version of this model can be a useful tool for predicting acute fish toxicity, and a contribution to more quantitative WOE approaches for ecotoxicology and environmental assessment more generally.HighlightsA Bayesian network (BN) was developed to predict the toxicity of chemicals to fishThe BN uses fish embryo toxicity data in a quantitative weight-of-evidence approachThe BN integrates physical, chemical and toxicological properties of chemicalsCorrect toxicity intervals were predicted for 69-80% of test casesThe BN is publicly available for demonstration and testing through a web interface

Automated Lab-on-a-Chip Technology for Fish Embryo Toxicity Tests Performed under Continuous Microperfusion (μFET)

2015 ◽  
Vol 49 (24) ◽  
pp. 14570-14578 ◽  
Author(s):  
Feng Zhu ◽  
Adriana Wigh ◽  
Timo Friedrich ◽  
Alain Devaux ◽  
Sylvie Bony ◽  
...  
Keyword(s):  
Lab On A Chip ◽  
Toxicity Tests ◽  
Fish Embryo ◽  
Chip Technology ◽  
Embryo Toxicity
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