Kalantary, R.R. and Moradi, M. and Pirsaheb, M. and Esrafili, A. and Jafari, A.J. and Gholami, M. and Vasseghian, Y. and Antolini, E. and Dragoi, E.-N. (2019) Enhanced photocatalytic inactivation of E. coli by natural pyrite in presence of citrate and EDTA as effective chelating agents: Experimental evaluation and kinetic and ANN models. Journal of Environmental Chemical Engineering, 7 (1).
Full text not available from this repository.Abstract
The effect of chelating agents (citrate and EDTA) on the visible light photocatalytic activity of natural pyrite for the inactivation of Escherichia coli ATCC 25922 (E. coli) was investigated. The influence of various parameters, such as chelating agent and H 2 O 2 concentration, light intensity and aeration rate, was evaluated experimentally and through kinetic models. The presence of a chelating agent enhanced the photocatalytic activity of natural pyrite, and citrate was more effective than EDTA, considerably improving bacteria inactivation in natural pH and reducing the drawbacks of the photocatalytic inactivation system. For both citrate-pyrite and EDTA-pyrite, the inactivation rate went through a maximum for a concentration of the chelating agent of 0.5 mM. The increase of the light intensity (10-60 mW cm -2 ), H 2 O 2 concentration (10-25 mg L -1 ) and aeration rate (2-8 L min -1 ) improved the radical generation, resulting in a high inactivation effect. The low effect of H 2 O 2 on the catalytic activity of pyrite in the presence of EDTA was likely due to the inhibition of the hydrogen peroxide-to-hydroxyl radical conversion by EDTA. On the other hand, degradation of citrate at high aeration rate occurred, decreasing the catalytic activity of the citrate-pyrite system. Scavenging tests indicated that the bulk hydroxyl radicals are the most reactive radical species in the bacterial inactivation, closely followed by valence band holes, while conduction band electrons play a less important role. In addition, in order to generate predictions and to better understand the process, artificial neural networks were used as models for the considered process: the obtained performance indexes indicated a good correlation between experimental and predicted values. © 2019 Elsevier Ltd. All rights reserved.
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 0 |
| Subjects: | WA Public Health |
| Depositing User: | eprints admin |
| Date Deposited: | 24 Oct 2020 09:53 |
| Last Modified: | 24 Oct 2020 09:53 |
| URI: | http://eprints.iums.ac.ir/id/eprint/15049 |
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