Literature DB >> 33297001

Derivation of algal acute to chronic ratios for use in chemical toxicity extrapolations.

Jessica L Brill1, Scott E Belanger2, Mace G Barron3, Amy Beasley4, Kristin A Connors5, Michelle Embry6, Greg J Carr7.   

Abstract

Algal toxicity studies are required by regulatory agencies for a variety of purposes including classification and labeling and environmental risk assessment of chemicals. Algae are also frequently the most sensitive taxonomic group tested. Acute to chronic ratios (ACRs) have been challenging to derive for algal species because of the complexities of the underlying experimental data including: a lack of universally agreed upon algal inhibition endpoints; evolution of experimental designs over time and by different standardization authorities; and differing statistical approaches (e.g., regression versus hypothesis-based effect concentrations). Experimental data for developing globally accepted algal ACRs have been limited because of data availability, and in most regulatory frameworks an ACR of 10 is used regardless of species, chemical type or mode of action. Acute and chronic toxicity (inhibition) data on 17 algal species and 442 chemicals were compiled from the EnviroTox database (https://envirotoxdatabase.org/) and a proprietary database of algal toxicity records. Information was probed for growth rate, yield, and final cell density endpoints focusing primarily on studies of 72 and 96 h duration. Comparisons of acute and chronic data based on either single (e.g., growth rate) and multiple (e.g., growth rate, final cell density) endpoints were used to assess acute and chronic relationships. Linear regressions of various model permutations were used to compute ACRs for multiple combinations of taxa, chemicals, and endpoints, and showed that ACRs for algae were consistently around 4 (ranging from 2.43 to 5.62). An ACR of 4 for algal toxicity is proposed as an alternative to a default value of 10, and recommendations for consideration and additional research and development are provided.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 33297001      PMCID: PMC8114583          DOI: 10.1016/j.chemosphere.2020.127804

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  14 in total

1.  Sensitivity of different growth inhibition tests--just a question of mathematical calculation? Theory and practice for algae and duckweed.

Authors:  Matthias Eberius; Guido Mennicken; Ilka Reuter; Jörg Vandenhirtz
Journal:  Ecotoxicology       Date:  2002-10       Impact factor: 2.823

2.  A strategy to reduce the use of fish in acute ecotoxicity testing of new chemical substances notified in the European Union.

Authors:  S Jeram; J M Riego Sintes; M Halder; J Baraibar Fentanes; B Sokull-Klüttgen; T H Hutchinson
Journal:  Regul Toxicol Pharmacol       Date:  2005-07       Impact factor: 3.271

3.  Determinants of variability in acute to chronic toxicity ratios for aquatic invertebrates and fish.

Authors:  Sandy Raimondo; Brian J Montague; Mace G Barron
Journal:  Environ Toxicol Chem       Date:  2007-09       Impact factor: 3.742

4.  It is time to develop ecological thresholds of toxicological concern to assist environmental hazard assessment.

Authors:  Scott E Belanger; Hans Sanderson; Michelle R Embry; Katie Coady; Dick DeZwart; Brianna A Farr; Steve Gutsell; Marlies Halder; Robin Sternberg; Peter Wilson
Journal:  Environ Toxicol Chem       Date:  2015-10-30       Impact factor: 3.742

5.  Stepwise Information-Filtering Tool (SIFT): A method for using risk assessment metadata in a nontraditional way.

Authors:  Amy Beasley; Scott E Belanger; Ryan R Otter
Journal:  Environ Toxicol Chem       Date:  2015-04-24       Impact factor: 3.742

6.  Mode of Action (MOA) Assignment Classifications for Ecotoxicology: An Evaluation of Approaches.

Authors:  A Kienzler; M G Barron; S E Belanger; A Beasley; M R Embry
Journal:  Environ Sci Technol       Date:  2017-08-16       Impact factor: 9.028

7.  Evaluation of copper toxicity using site specific algae and water chemistry: Field validation of laboratory bioassays.

Authors:  Elyssa G Fawaz; Darine A Salam; Lina Kamareddine
Journal:  Ecotoxicol Environ Saf       Date:  2018-03-02       Impact factor: 6.291

8.  Mode of Action Classifications in the EnviroTox Database: Development and Implementation of a Consensus MOA Classification.

Authors:  Aude Kienzler; Kristin A Connors; Mark Bonnell; Mace G Barron; Amy Beasley; Cristina G Inglis; Teresa J Norberg-King; Todd Martin; Hans Sanderson; Nathalie Vallotton; Peter Wilson; Michelle R Embry
Journal:  Environ Toxicol Chem       Date:  2019-09-05       Impact factor: 3.742

9.  Creation of a Curated Aquatic Toxicology Database: EnviroTox.

Authors:  Kristin A Connors; Amy Beasley; Mace G Barron; Scott E Belanger; Mark Bonnell; Jessica L Brill; Dick de Zwart; Aude Kienzler; Jesse Krailler; Ryan Otter; Joshua L Phillips; Michelle R Embry
Journal:  Environ Toxicol Chem       Date:  2019-04-01       Impact factor: 3.742

10.  Relative robustness of NOEC and ECx against large uncertainties in data.

Authors:  Yoshinari Tanaka; Kensei Nakamura; Hiroyuki Yokomizo
Journal:  PLoS One       Date:  2018-11-28       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.