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Photodegradation of roxarsone in the aquatic environment: influencing factors, mechanisms, and artificial neural network modeling.
- Source :
-
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Jan; Vol. 29 (5), pp. 7844-7852. Date of Electronic Publication: 2021 Sep 04. - Publication Year :
- 2022
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Abstract
- Roxarsone (ROX), an organoarsenic feed additive, can be discharged into aquatic environment and photodegraded into more toxic inorganic arsenics. However, the photodegradation behavior of ROX in aquatic environment is still unclear. To better understand ROX photodegradation behavior, the influencing factors, photodegradation mechanism, and process modelling of ROX photodegradation were investigated in this study. The results showed that ROX in the aquatic environment was degraded to inorganic As(III) and As(V) under light irradiation. The degradation efficiency was enhanced by 25% with the increase of light intensity from 300 to 800 μW/cm <superscript>2</superscript> via indirect photolysis. The photodegradation was temperature dependence, but was only slightly affected by pH. Nitrate ion (NO <subscript>3</subscript> <superscript>-</superscript> ) had an obvious influence, but sulfate, carbonate, and chlorate ions had a negligible effect on ROX degradation. Dissolved organic matter (DOM) in the solution inhibited the photodegradation. ROX photodegradation was mainly mediated by reactive oxygen species (in the form of single oxygen <superscript>1</superscript> O <subscript>2</subscript> ) generated through ROX self-sensitization under irradiation. Based on the data of factors affecting ROX photodegradation, ROX photodegradation model was built and trained by an artificial neural network (ANN), and the predicted degradation rate was in good agreement with the real values with a root mean square error of 1.008. This study improved the understanding of ROX photodegradation behavior and provided a basis for controlling the pollution from ROX photodegradation.<br /> (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Details
- Language :
- English
- ISSN :
- 1614-7499
- Volume :
- 29
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Environmental science and pollution research international
- Publication Type :
- Academic Journal
- Accession number :
- 34480704
- Full Text :
- https://doi.org/10.1007/s11356-021-16183-5