Literature DB >> 11459148

QSAR study on the toxicity of substituted benzenes to the algae (Scenedesmus obliquus).

G H Lu1, X Yuan, Y H Zhao.   

Abstract

50% effective inhibition concentration 48h-EC50 of 40 substituted benzenes to the algae (Scenedesmus obliquus) was determined. The energy of the lowest unoccupied molecular orbital (E(LUMO)) was calculated by the quantum chemical method MOPAC6.0-AM1. By using E(LUMO) and the hydrophobicity parameter log K(OW) the quantitative structure-activity relationship model (QSAR) was developed: log1/EC50=0.272 logK(OW) - 0.659E(LUMO) + 2.54, R2 = 0.793, S.E. = 0.316, F = 71.07, n = 40. A series of equations were obtained about the measured EC50 values of different subclasses of compounds. For those compounds containing double -NO2, their toxicity may be related chiefly to the intracellular reduction of -NO2 obtaining electron, while for anilines and phenols, K(OW) contributes most to the QSAR and E(LUMO) very little.

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Year:  2001        PMID: 11459148     DOI: 10.1016/s0045-6535(00)00214-9

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


  6 in total

1.  Joint toxicity of aromatic compounds to algae and QSAR study.

Authors:  Guanghua Lu; Chao Wang; Zhuyun Tang; Xiaoling Guo
Journal:  Ecotoxicology       Date:  2007-06-28       Impact factor: 2.823

2.  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

3.  Evaluation of the potential for trophic transfer of roxithromycin along an experimental food chain.

Authors:  Jiannan Ding; Guanghua Lu; Jianchao Liu; Zhenghua Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2015-03-06       Impact factor: 4.223

4.  A quantitative structure-antifungal activity relationship study of oxygenated aromatic essential oil compounds using data structuring and PLS regression analysis.

Authors:  Karmen Voda; Bojana Boh; Margareta Vrtacnik
Journal:  J Mol Model       Date:  2003-12-20       Impact factor: 1.810

5.  Low potency toxins reveal dense interaction networks in metabolism.

Authors:  William Bains
Journal:  BMC Syst Biol       Date:  2016-02-20

6.  New Models to Predict the Acute and Chronic Toxicities of Representative Species of the Main Trophic Levels of Aquatic Environments.

Authors:  Cosimo Toma; Claudia I Cappelli; Alberto Manganaro; Anna Lombardo; Jürgen Arning; Emilio Benfenati
Journal:  Molecules       Date:  2021-11-19       Impact factor: 4.411

  6 in total

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