Literature DB >> 16875732

Toxicity and quantitative structure-activity relationships of nitriles based on Pseudokirchneriella subcapitata.

Chun-Pin Huang1, Yun-Ju Wang, Chung-Yuan Chen.   

Abstract

This study presents the toxicity data of various nitriles to Pseudokirchneriella subcapitata using a closed algal toxicity testing technique with no headspace. Two different response endpoints, i.e., dissolved oxygen (DO) production and algal growth rate, were used to evaluate the toxicity of nitriles. In general, the DO endpoint revealed higher inhibitory effects than that from algal growth rate. Furthermore, halogen-substituted nitriles were found to be extremely toxic to P. subcapitata. With increasing numbers of the halogen atoms, stronger toxicity was observed. The bromine substitutent also seems to be more toxic than chlorine substitutent. Quantitative structure-activity relationships (QSARs) were established based on the chemicals' Elumo values and hydrophobicity (logK(ow)). Such relationships may thus be useful in predicting the toxicity of other compounds of the same mode of toxic action. Furthermore, for various aquatic organisms, the relative sensitivity relationship is: Pimephales promelas > or = P. subcapitata> Tetrahymena Pyriformis>Daphnia magna>luminescent bacteria (Microtox). The alga, P. subcapitata, was found to be quite sensitive to nitriles compared to other organisms.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16875732     DOI: 10.1016/j.ecoenv.2006.06.007

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


  4 in total

1.  Acute aquatic toxicity of organic solvents modeled by QSARs.

Authors:  A Levet; C Bordes; Y Clément; P Mignon; C Morell; H Chermette; P Marote; P Lantéri
Journal:  J Mol Model       Date:  2016-11-09       Impact factor: 1.810

2.  Modeling the toxicity of chemical pesticides in multiple test species using local and global QSTR approaches.

Authors:  Nikita Basant; Shikha Gupta; Kunwar P Singh
Journal:  Toxicol Res (Camb)       Date:  2015-12-10       Impact factor: 3.524

3.  A Double-Activity (Green Algae Toxicity and Bacterial Genotoxicity) 3D-QSAR Model Based on the Comprehensive Index Method and Its Application in Fluoroquinolones' Modification.

Authors:  Lu-Ze Yang; Miao Liu
Journal:  Int J Environ Res Public Health       Date:  2020-02-03       Impact factor: 3.390

4.  Prior Knowledge for Predictive Modeling: The Case of Acute Aquatic Toxicity.

Authors:  Gulnara Shavalieva; Stavros Papadokonstantakis; Gregory Peters
Journal:  J Chem Inf Model       Date:  2022-08-23       Impact factor: 6.162

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.