Key structural features promoting radical driven degradation of emerging contaminants in water
Autor: | Ana Lončarić Božić, Bakhtiyor Rasulev, Mirjana Novak Stankov, Tomislav Bolanča, Marin Kovačić, Matija Cvetnić, Dionysios D. Dionysiou, Šime Ukić, Hrvoje Kušić |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
lcsh:GE1-350
Quantitative structure–activity relationship Molecular Structure 010504 meteorology & atmospheric sciences Chemistry Competitive kinetics External validation Water Quantitative structure 010501 environmental sciences 01 natural sciences Water Purification Human health advanced oxidation processes contaminants of emerging concern hydroxyl radical quantitative structure-property relationship sulfate radical Aquatic environment Linear regression Linear Models Humans Degradation (geology) Biochemical engineering Oxidation-Reduction Water Pollutants Chemical lcsh:Environmental sciences 0105 earth and related environmental sciences General Environmental Science |
Zdroj: | Environment International, Vol 124, Iss, Pp 38-48 (2019) |
ISSN: | 0160-4120 |
Popis: | Diverse contaminants of emerging concern (CECs) can be found in nowadays aquatic environment, possessing high potential to cause adverse ecological and human health effects. Due to their recalcitrance, conventional water treatment methods are shown to be inadequately effective. Thus, their upgrade by advanced oxidation processes, involving the generation of highly reactive species (HO and SO4−), is highly demanded. In order to assess the susceptibility of CECs by HO and SO4−, as well as to determine the corresponding reaction rate constants kHO and kSO4−, the complex experimental studies has to be maintained. The alternative is the application of modeling approaches which correlate structural characteristics with activities/properties of interest, i.e. quantitative structure activity/property relationship (QSAR/QSPR). In this study kHO and kSO4− of fifteen selected CECs were determined by competitive kinetics, and afterward used to elucidate key structural features promoting their degradation. In that purpose, QSPR models were constructed using multiple linear regression (MLR) combined with genetic algorithm (GA) approach. The models were submitted to the internal and external validation (using additional set of 17 CECs). Selected 3-variable models predicting kHO and kSO4− were characterized with high accuracy and predictivity (R2 = 0.876 and Q2 = 0.847 and R2 = 0.832 and Q2 = 0.778, respectively). Although selected models at the first sight include descriptors derived through complicated calculation procedures, their weighting schemes indicate on their relevance and transparency toward established reaction theories and differences regarding radical type. Keywords: Contaminants of emerging concern, Advanced oxidation processes, Hydroxyl radical, Sulfate radical, Quantitative structure-property relationship |
Databáze: | OpenAIRE |
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