To What Extent Do Fish Toxicity Studies Drive Harmonised Classification for Acute and Chronic Aquatic Hazards?

The current regulatory risk management of chemicals relies on ecotoxicological data from three trophic levels (algae/plants, invertebrates and fish) as the surrogate for all aquatic organisms-a long-standing foundation of environmental hazard and risk assessment. To explore opportunities for reducing vertebrate testing while maintaining environmental protection levels, it is essential to better understand the specific contribution of each trophic level to regulatory decision-making. This paper analysed ecotoxicity data for aquatic hazard classification under the CLP Regulation, focusing on the role of in vivo fish toxicity data within the EU's harmonized classification and labelling system. Results indicate that all three trophic levels are important for classification. Without fish data, 12% of substances for acute hazards and 11% for chronic hazards would have less stringent classifications. Thus, omitting fish testing would considerably impact the protection of aquatic environment. The study also examined a subset of substances confirmed as potent neurotoxicants, comparing acute toxicity data on Daphnia magna to in vivo acute fish toxicity data. The analysis confirms that Daphnids were similarly or more sensitive than fish for most investigated neurotoxicants. Therefore, even without acute fish data, these substances would have similar or more stringent classification. However, substance types other than those potent neurotoxicants were not investigated. Moreover, there remains uncertainty for some pyrethroids regarding Daphnia data's sufficiency in assessing hazards, indicating a need for further research. Finally, the study evaluated the use of computational profilers based on Quantitative Structure-Activity Relationship (QSAR) models to predict aquatic toxicity. The aim was to investigate whether currently available computational methods can identify chemicals more toxic to fish compared to other trophic levels, focusing the conduct of vertebrate tests only on those substance classes. The analysis revealed a need for better understanding on how different chemical classes affect acute aquatic toxicity across various trophic levels.

Authors

Institutions

Publication Details

Journal
Environmental Toxicology and Chemistry
Published
2026-05-09
DOI
https://doi.org/10.1093/etojnl/vgag124
Primary Topic
Environmental Toxicology and Ecotoxicology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

To What Extent Do Fish Toxicity Studies Drive Harmonised Classification for Acute and Chronic Aquatic Hazards?

Salvador Moncho, Tomasz Sobański, Pia Talja, Anna‐Maija Nyman et al.
Environmental Toxicology and Chemistry
Environmental Toxicology and Ecotoxicology
article

To What Extent Do Fish Toxicity Studies Drive Harmonised Classification for Acute and Chronic Aquatic Hazards?

Salvador Moncho, Tomasz Sobański, Pia Talja, Anna‐Maija Nyman, Jani O. Honkanen, Shoko Furuno, Marco Evangelista, Marta Sobańska, Kai Craenen, Paul Ryan
article en

Abstract

The current regulatory risk management of chemicals relies on ecotoxicological data from three trophic levels (algae/plants, invertebrates and fish) as the surrogate for all aquatic organisms-a long-standing foundation of environmental hazard and risk assessment. To explore opportunities for reducing vertebrate testing while maintaining environmental protection levels, it is essential to better understand the specific contribution of each trophic level to regulatory decision-making. This paper analysed ecotoxicity data for aquatic hazard classification under the CLP Regulation, focusing on the role of in vivo fish toxicity data within the EU's harmonized classification and labelling system. Results indicate that all three trophic levels are important for classification. Without fish data, 12% of substances for acute hazards and 11% for chronic hazards would have less stringent classifications. Thus, omitting fish testing would considerably impact the protection of aquatic environment. The study also examined a subset of substances confirmed as potent neurotoxicants, comparing acute toxicity data on Daphnia magna to in vivo acute fish toxicity data. The analysis confirms that Daphnids were similarly or more sensitive than fish for most investigated neurotoxicants. Therefore, even without acute fish data, these substances would have similar or more stringent classification. However, substance types other than those potent neurotoxicants were not investigated. Moreover, there remains uncertainty for some pyrethroids regarding Daphnia data's sufficiency in assessing hazards, indicating a need for further research. Finally, the study evaluated the use of computational profilers based on Quantitative Structure-Activity Relationship (QSAR) models to predict aquatic toxicity. The aim was to investigate whether currently available computational methods can identify chemicals more toxic to fish compared to other trophic levels, focusing the conduct of vertebrate tests only on those substance classes. The analysis revealed a need for better understanding on how different chemical classes affect acute aquatic toxicity across various trophic levels.

Environmental Toxicology and Chemistry
University of Insubria (IT), Finnish Medicines Agency Fimea (FI)
Openalex Percentile: Top 6%
Environmental Toxicology and Ecotoxicology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.