A multipronged QSAR approach to predict algal low-toxic-effect concentrations of substituted phenols and anilines-Reference-Cited by-同舟云学术

A multipronged QSAR approach to predict algal low-toxic-effect concentrations of substituted phenols and anilines

Published:2018-02 Issue: Volume:344 Page:893-901
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Tugcu Gulcin,Saçan Melek Türker

Funder

Bogazici University Scientific Research Project

TÜBİTAK-ARRS

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference58 articles.

1. Guidance on Information Requirements and Chemical Safety Assessment Chapter R.10: Characterisation of Dose [Concentration]-Response for Environment;ECHA,2008

2. The role of QSAR methodology in the regulatory assessment of chemicals;Worth,2010

3. Phenols – sources and toxicity;Michalowicz;Pol. J. Environ. Stud.,2007

4. Combined toxicity of the mixtures of phenol and aniline derivatives to Vibrio qinghaiensis sp.-Q67;Mo;Bull. Environ. Contam. Toxicol.,2011

5. TR 091–ECETOC Aquatic Toxicity (EAT) Database;ECETOC (European Centre for Ecotoxicology and Toxicology of Chemicals),2003

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