Prediction of toxicity of phenols and anilines to algae by quantitative structure-activity relationship / 生物医学与环境科学(英文)
Biomedical and Environmental Sciences
;
(12): 193-196, 2008.
Article
in English
| WPRIM
| ID: wpr-296065
ABSTRACT
<p><b>OBJECTIVE</b>To measure the toxicity of phenol, aniline, and their derivatives to algae and to assess, model, and predict the toxicity using quantitative structure-activity relationship (QSAR) method.</p><p><b>METHODS</b>Oxygen production was used as the response endpoint for assessing the toxic effects of chemicals on algal photosynthesis. The energy of the lowest unoccupied molecular orbital (E(LUMO)) and the energy of the highest occupied molecular orbital (E(HOMO)) were obtained from the ChemOffice 2004 program using the quantum chemical method MOPAC, and the frontier orbital energy gap (deltaE) was obtained.</p><p><b>RESULTS</b>The compounds exhibited a reasonably wide range of algal toxicity. The most toxic compound was alpha-naphthol, whereas the least toxic one was aniline. A two-descriptor model was derived from the algal toxicity and structural parameters log1/EC50 = 0.268,logKow - 1.006deltaE + 11.769 (n = 20, r2 = 0.946). This model was stable and satisfactory for predicting toxicity. CONCLUSION Phenol, aniline, and their derivatives are polar narcotics. Their toxicity is greater than estimated by hydrophobicity only, and addition of the frontier orbital energy gap deltaE can significantly improve the prediction of logKow-dependent models.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Oxygen
/
Phenols
/
Photosynthesis
/
Water Pollutants, Chemical
/
Quantitative Structure-Activity Relationship
/
Scenedesmus
/
Toxicity
/
Aniline Compounds
/
Metabolism
Type of study:
Prognostic study
Language:
English
Journal:
Biomedical and Environmental Sciences
Year:
2008
Type:
Article
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