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Correlate the Toxicity of PAHs with Physical and Chemical Propertie QSAR Descriptors by PCR Method
Abstract:
The Quantitative Structure Activity Relationship (QSAR) was used to correlate eleven physical and chemical properties (GTCi, Vc, BP, MP, Hf, Tc, Pc, MW, MV, logKOW and logKOC) with toxicity of polycyclic aromatic hydrocarbons (PAHs). A multi-parameter regression model was conducted to simulate the toxicity of PAHs after minimization of the multicollinearity among the ion characteristics using principal component regression (PCR). The toxicity of PAHs increased with the positively correlated variables including GTCi, Vc, BP, MW, MV, logKOW and logKOC. The regression model provided the high simulate ability, with Nash-Suttcliffe simulation efficiency coefficients (NSC) of 0.89 for the modeling. The model may be successfully employed to predict the toxicity of PAHs and be used for further analysis.
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151-154
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November 2012
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© 2012 Trans Tech Publications Ltd. All Rights Reserved
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