Literature DB >> 31820228

Norm index for predicting the rate constants of organic contaminants oxygenated with sulfate radical.

Yajuan Shi1, Fangyou Yan2, Qingzhu Jia3, Qiang Wang1.   

Abstract

The degradation of organic contaminants in aquatic systems has raised immense attention worldwide, and the second-order rate constant ([Formula: see text]) of water pollutants oxidized by sulfate radical anion is an important index for assessing the degradation efficiency of organics. Herein, a new norm mathematical formula is defined. Based on this, four new descriptors are proposed and a QSPR model is developed for predicting [Formula: see text] using 30 families of emerging organic pollutants in water. The statistical results fully prove that this model has good fitting effect and stability with R2 of 0.8862, Q2LOO of 0.8466, and Q25-fold of 0.8329, respectively. The validation results including cross validation, applicability domain analysis, and model comparison show that this model has good robustness, predictive performance, and reliability. These decent results indicate that the new norm mathematical formula is effective in calculating descriptors and the norm indexes have a great application for evaluating the transformation fate of organic pollutants by sulfate radical in aquatic systems.

Entities:  

Keywords:  Norm index; Organic contaminants; QSPR; Second-order rate constants; Sulfate radical

Mesh:

Substances:

Year:  2019        PMID: 31820228     DOI: 10.1007/s11356-019-07046-1

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  27 in total

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2.  Development of a group contribution method to predict aqueous phase hydroxyl radical (HO*) reaction rate constants.

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Review 3.  Best Practices for QSAR Model Development, Validation, and Exploitation.

Authors:  Alexander Tropsha
Journal:  Mol Inform       Date:  2010-07-06       Impact factor: 3.353

4.  A Historical Excursus on the Statistical Validation Parameters for QSAR Models: A Clarification Concerning Metrics and Terminology.

Authors:  Paola Gramatica; Alessandro Sangion
Journal:  J Chem Inf Model       Date:  2016-06-03       Impact factor: 4.956

5.  QSAR models using a large diverse set of estrogens.

Authors:  L M Shi; H Fang; W Tong; J Wu; R Perkins; R M Blair; W S Branham; S L Dial; C L Moland; D M Sheehan
Journal:  J Chem Inf Comput Sci       Date:  2001 Jan-Feb

6.  QSAR models for describing the toxicological effects of ILs against Staphylococcus aureus based on norm indexes.

Authors:  Wensi He; Fangyou Yan; Qingzhu Jia; Shuqian Xia; Qiang Wang
Journal:  Chemosphere       Date:  2017-12-14       Impact factor: 7.086

7.  Chemical structure-based predictive model for the oxidation of trace organic contaminants by sulfate radical.

Authors:  Tiantian Ye; Zongsu Wei; Richard Spinney; Chong-Jian Tang; Shuang Luo; Ruiyang Xiao; Dionysios D Dionysiou
Journal:  Water Res       Date:  2017-03-06       Impact factor: 11.236

8.  Multiple toxicity endpoint-structure relationships for substituted phenols and anilines.

Authors:  Fangyou Yan; Tingting Liu; Qingzhu Jia; Qiang Wang
Journal:  Sci Total Environ       Date:  2019-01-29       Impact factor: 7.963

9.  Development of a model for predicting hydroxyl radical reaction rate constants of organic chemicals at different temperatures.

Authors:  Chao Li; Xianhai Yang; Xuehua Li; Jingwen Chen; Xianliang Qiao
Journal:  Chemosphere       Date:  2013-11-05       Impact factor: 7.086

10.  QSAR models for oxidation of organic micropollutants in water based on ozone and hydroxyl radical rate constants and their chemical classification.

Authors:  Sairam Sudhakaran; Gary L Amy
Journal:  Water Res       Date:  2012-11-28       Impact factor: 11.236

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  1 in total

1.  A semi-analytical solution to organic contaminants transport through composite liners considering a single crack in CCL.

Authors:  Haijian Xie; Hao Ding; Huaxiang Yan; Dandi Yang; Zhanghua Lou; Zhanhong Qiu; Yun Chen
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-27       Impact factor: 5.190

  1 in total

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