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A tool for the assessment of VOC degradability by tropospheric oxidants starting from chemical structure

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Title: A tool for the assessment of VOC degradability by tropospheric oxidants starting from chemical structure
Authors: Gramatica, P. paola.gramatica@uninsubria.it, Pilutti, P.1, Papa, E.1
Source: Atmospheric Environment. Nov2004, Vol. 38 Issue 36, p6167-6175. 9p.
Subjects: QSAR models, Oxidizing agents, Organic compounds, Chemicals
Abstract: The tropospheric lifetime of most organic chemicals deriving from terrestrial emissions is mainly controlled by their degradation reaction with OH radicals and ozone during the daytime, and NO3 radicals at night. The studied data set, composed of 399 structurally heterogeneous volatile organic compounds (VOCs), consists of data for the three studied oxidation reactions, available either experimentally or from our herein reported quantitative structure–activity relationships (QSAR) models. A principal component analysis (PCA) model based on these principal oxidative degradations has been proposed to evaluate the overall tropospheric degradability of chemicals. The score of the first principal component can be proposed as an ATmospheric Degradability INdex (ATDIN) and is modelled by theoretical molecular descriptors to obtain a multiple linear regression (MLR) QSAR model with high predictive power, both internally and externally validated. This modelling approach allows a fast and preliminary VOC ranking according to their tendency to be degraded by atmospheric oxidants, starting only from the knowledge of their molecular structure. [Copyright &y& Elsevier]
Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 14748322
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PubType: Academic Journal
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  Data: A tool for the assessment of VOC degradability by tropospheric oxidants starting from chemical structure
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Nov2004, Vol. 38 Issue 36, p6167-6175. 9p.
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  Data: The tropospheric lifetime of most organic chemicals deriving from terrestrial emissions is mainly controlled by their degradation reaction with OH radicals and ozone during the daytime, and NO3 radicals at night. The studied data set, composed of 399 structurally heterogeneous volatile organic compounds (VOCs), consists of data for the three studied oxidation reactions, available either experimentally or from our herein reported quantitative structure–activity relationships (QSAR) models. A principal component analysis (PCA) model based on these principal oxidative degradations has been proposed to evaluate the overall tropospheric degradability of chemicals. The score of the first principal component can be proposed as an ATmospheric Degradability INdex (ATDIN) and is modelled by theoretical molecular descriptors to obtain a multiple linear regression (MLR) QSAR model with high predictive power, both internally and externally validated. This modelling approach allows a fast and preliminary VOC ranking according to their tendency to be degraded by atmospheric oxidants, starting only from the knowledge of their molecular structure. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.atmosenv.2004.07.026
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        Text: English
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      – SubjectFull: Oxidizing agents
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      – SubjectFull: Organic compounds
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              Text: Nov2004
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