Literature DB >> 24210594

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

Chao Li1, Xianhai Yang, Xuehua Li, Jingwen Chen, Xianliang Qiao.   

Abstract

The reaction rate constants of hydroxyl radicals with organic chemicals (kOH) are of great importance for assessing the persistence and fate of organic pollutants in the atmosphere. However, experimental determination of kOH seems fairly unrealistic, due to the soaring number of the emerging chemicals additional to the large number of existing chemicals. Quantitative structure-activity relationship (QSAR) models are excellent choices for evaluating and predicting kOH values. In this study, a QSAR model that can predict kOH at different temperatures was developed by employing quantum chemical descriptors and DRAGON descriptors. The adjusted determination coefficient Radj(2) of the model is 0.873, and the external validation coefficient Qext(2) is 0.835, implying that the model has satisfactory robustness and good predictability. Additionally, a QSAR model was also built for kOH prediction at room-temperature (298 K). The development of the two models followed the guidelines for development and validation of QSAR models proposed by the Organization for Economic Co-operation and Development (OECD). The applicability domains of the current models were extended to several classes of compounds including long-chain alkenes (C8-C13), organophosphates, dimethylnaphthalenes, organic selenium and organic mercury compounds that have not been covered in the previous studies.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hydroxyl radical; Multiple linear regression (MLR); Quantitative structure–activity relationship; Reaction rate constants; Temperature dependence

Mesh:

Substances:

Year:  2013        PMID: 24210594     DOI: 10.1016/j.chemosphere.2013.10.020

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


  4 in total

1.  Modeling the pH and temperature dependence of aqueousphase hydroxyl radical reaction rate constants of organic micropollutants using QSPR approach.

Authors:  Shikha Gupta; Nikita Basant
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-16       Impact factor: 4.223

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

Authors:  Yajuan Shi; Fangyou Yan; Qingzhu Jia; Qiang Wang
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-09       Impact factor: 4.223

3.  MOA-based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibrio fischeri.

Authors:  Shengnan Zhang; Ning Wang; Limin Su; Xiaoyan Xu; Chao Li; Weichao Qin; Yuanhui Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-08       Impact factor: 4.223

4.  Modeling the reactivities of hydroxyl radical and ozone towards atmospheric organic chemicals using quantitative structure-reactivity relationship approaches.

Authors:  Shikha Gupta; Nikita Basant; Dinesh Mohan; Kunwar P Singh
Journal:  Environ Sci Pollut Res Int       Date:  2016-04-04       Impact factor: 4.223

  4 in total

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