Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinatedtrans-azobenzene congeners-Reference-Cited by-同舟云学术

Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinatedtrans-azobenzene congeners

Published:2012-02 Issue:2 Volume:47 Page:111-128
ISSN:0360-1234
Container-title:Journal of Environmental Science and Health, Part B
language:en
Short-container-title:Journal of Environmental Science and Health, Part B

Author:

Wilczyńska-Piliszek Agata J.,Piliszek Sławomir,Falandysz Jerzy

Publisher

Informa UK Limited

Subject

Pollution,General Medicine,Food Science

Link

http://www.tandfonline.com/doi/pdf/10.1080/03601234.2012.616779

Reference89 articles.

1. Levels of 3,3′,4,4′-tetrachloroazobenzene in herbicides and bulk reagents

2. Tetrachloroazobenzene in 3,4-Dichloroaniline and Its Herbicidal Derivatives: Propanil, Diuron, Linuron, and Neburon

3. Levels of 3,3′,4,4′-tetrachloroazobenzene in propanil herbicide

4. 3,3′,4,4′-Tetrachloroazobenzene as a contaminant in commercial propanil

5. Selection of Representative Congener for PolychlorinatedTrans-Azobenzenes (PCt-ABs) Based on Comprehensive Thermodynamical and Quantum-Chemical Characterization

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4. A complete vibrational study on a potential environmental toxicant agent, the 3,3′,4,4′-tetrachloroazobenzene combining the FTIR, FTRaman, UV–Visible and NMR spectroscopies with DFT calculations;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2015-01

5. QSPR modeling of n-octanol/air partition coefficients and liquid vapor pressures of polychlorinated dibenzo-p-dioxins;Chemosphere;2013-04