Literature DB >> 16256196

Ecotoxicity quantitative structure-activity relationships for alcohol ethoxylate mixtures based on substance-specific toxicity predictions.

G M Boeije1, M L Cano, S J Marshall, S E Belanger, R Van Compernolle, P B Dorn, H Gümbel, R Toy, T Wind.   

Abstract

Traditionally, ecotoxicity quantitative structure-activity relationships (QSARs) for alcohol ethoxylate (AE) surfactants have been developed by assigning the measured ecotoxicity for commercial products to the average structures (alkyl chain length and ethoxylate chain length) of these materials. Acute Daphnia magna toxicity tests for binary mixtures indicate that mixtures are more toxic than the individual AE substances corresponding with their average structures (due to the nonlinear relation of toxicity with structure). Consequently, the ecotoxicity value (expressed as effects concentration) attributed to the average structures that are used to develop the existing QSARs is expected to be too low. A new QSAR technique for complex substances, which interprets the mixture toxicity with regard to the "ethoxymers" distribution (i.e., the individual AE components) rather than the average structure, was developed. This new technique was then applied to develop new AE ecotoxicity QSARs for invertebrates, fish, and mesocosms. Despite the higher complexity, the fit and accuracy of the new QSARs are at least as good as those for the existing QSARs based on the same data set. As expected from typical ethoxymer distributions of commercial AEs, the new QSAR generally predicts less toxicity than the QSARs based on average structure.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16256196     DOI: 10.1016/j.ecoenv.2005.08.009

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  6 in total

1.  Ecotoxicological modeling and risk assessment using chemometric tools.

Authors:  Kunal Roy
Journal:  Mol Divers       Date:  2006-05       Impact factor: 2.943

2.  Biodegradability and Toxicity of Cellobiosides and Melibiosides.

Authors:  David E Hogan; Fei Tian; Scott W Malm; Laurel L Kegel; Lajos Z Szabo; Anoop S Hunjan; Jeanne E Pemberton; Walter T Klimecki; Robin Polt; Raina M Maier
Journal:  J Surfactants Deterg       Date:  2020-05-02       Impact factor: 1.902

3.  Environmental Safety of the Use of Major Surfactant Classes in North America.

Authors:  Christina Cowan-Ellsberry; Scott Belanger; Philip Dorn; Scott Dyer; Drew McAvoy; Hans Sanderson; Donald Versteeg; Darci Ferrer; Kathleen Stanton
Journal:  Crit Rev Environ Sci Technol       Date:  2014-09       Impact factor: 12.561

4.  Toxicity ranking and toxic mode of action evaluation of commonly used agricultural adjuvants on the basis of bacterial gene expression profiles.

Authors:  Ingrid Nobels; Pieter Spanoghe; Geert Haesaert; Johan Robbens; Ronny Blust
Journal:  PLoS One       Date:  2011-11-18       Impact factor: 3.240

5.  Solubility Constraints on Aquatic Ecotoxicity Testing of Anionic Surfactants.

Authors:  J Hammer; A M Tukker; J F Postma; J J-H Haftka; J L M Hermens; P de Voogt; M H S Kraak
Journal:  Bull Environ Contam Toxicol       Date:  2018-06-01       Impact factor: 2.151

6.  Exploring the Effects of Different Types of Surfactants on Zebrafish Embryos and Larvae.

Authors:  Yanan Wang; Yuan Zhang; Xu Li; Mingzhu Sun; Zhuo Wei; Yu Wang; Aiai Gao; Dongyan Chen; Xin Zhao; Xizeng Feng
Journal:  Sci Rep       Date:  2015-06-08       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.