Predicting the rate constants of semivolatile organic compounds with hydroxyl radicals and ozone in indoor air
| Autor: | Corinne Mandin, Wenjuan Wei, Laeticia Malingre, Olivier Ramalho, Sutharsini Sivanantham |
|---|---|
| Přispěvatelé: | Centre Scientifique et Technique du Bâtiment (CSTB) |
| Rok vydání: | 2020 |
| Předmět: |
Quantitative structure–activity relationship
Ozone 010504 meteorology & atmospheric sciences Health Toxicology and Mutagenesis Radical 010501 environmental sciences Toxicology 01 natural sciences chemistry.chemical_compound Reaction rate constant Phase (matter) Reactivity (chemistry) Organic Chemicals Polycyclic Aromatic Hydrocarbons 0105 earth and related environmental sciences Air Pollutants Hydroxyl Radical Phthalate General Medicine Pollution chemistry 13. Climate action Air Pollution Indoor Environmental chemistry [SDE]Environmental Sciences Particle |
| Zdroj: | Environmental Pollution (Elsevier) Environmental Pollution (Elsevier), 2020, 266, pp.115050-. ⟨10.1016/j.envpol.2020.115050⟩ |
| ISSN: | 0269-7491 |
| Popis: | Semivolatile organic compounds (SVOCs) in air can react with hydroxyl radicals (OH), nitrate radicals (NO3) and ozone (O3). Two questions regarding SVOC reactivity with OH, NO3 and O3 in the gas and particle phases remain to be addressed: according to the existing measurements in the literature, which are the most reactive SVOCs in air, and how can the SVOC reactivity in the gas and particle phases be predicted? In the present study, a literature review of the second-order rate constant (k) was carried out to determine the SVOC reactivity with OH, NO3 and O3 in the gas and particle phases in ambient and indoor air at room temperature. Measured k values were available in the literature for 90 polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), organophosphates, dioxins, di(2-ethylhexyl)phthalate (DEHP) and pesticides including pyrifenox, carbamates and terbuthylazine. PAHs and organophosphates were found to be more reactive than dioxins and PCBs. Based on the obtained data, quantitative structure-activity relationship (QSAR) models were developed to predict the k value using quantum chemical, molecular, physical property and environmental descriptors. Eight linear and nonlinear statistical models were employed, including regression models, bagging, random forest and gradient boosting. QSAR models were developed for SVOC/OH reactions in the gas and particle phases and SVOC/O3 reactions in the particle phase. Models for SVOC/NO3 and SVOC/O3 reactions in the gas phase could not be developed due to the lack of measured k values for model training. The least absolute shrinkage and selection operator (LASSO) regression and random forest models were identified as the most effective models for SVOC reactivity prediction according to a comparison of model performance metrics. |
| Databáze: | OpenAIRE |
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