Print Email Facebook Twitter Investigation of the efficacy of the UV/Chlorine process for the removal of trimethoprim Title Investigation of the efficacy of the UV/Chlorine process for the removal of trimethoprim: Effects of operational parameters and artificial neural networks modelling Author Teo, Ying Shen (National University of Singapore) Jafari, Iman (National University of Singapore) Liang, Fei (Student TU Delft) Jung, Youmi (National University of Singapore) van der Hoek, J.P. (TU Delft Sanitary Engineering) Ong, Say Leong (National University of Singapore) Hu, Jiangyong (National University of Singapore) Date 2022 Abstract The UV/Cl2 process (also known as chlorine photolysis, which is the combination of chlorine and simultaneous irradiation of UV light) is conventionally applied at acidic mediums for drinking water treatment and further treatment of wastewater effluents for secondary reuse. This is because the quantum yield of HO• from HOCl (ϕHO•, 254 = 1.4) is greater than the one from OCl- (ϕHO•, 254 = 0.278) by approximately 5 times. Moreover, chlorine photolysis in acidic mediums also tends to have lower radical quenching rates than that of their alkaline counterparts by up to 1000 times. The aim of this research is to investigate the applicability of the UV/Cl2 process by assessing its efficacy on the removal of trimethoprim (TMP) at not only acidic to neutral conditions (pH 6-7), but also alkaline mediums (pH 8-9). At alkaline pH, free chlorine exists as OCl- and since OCl- has a higher molar absorption coefficient as compared to HOCl at higher wavelengths, there would be higher reactive chlorine species (RCS) formation and contribution. TMP removal followed pseudo-first order kinetics and depicted that a maximum fluence based constant (kf′ = 0.275 cm2/mJ) was obtained using 42.25 μM (3 mg/L) of chlorine at pH 9, with an irradiation of 275 nm. At alkaline conditions, chlorine photolysis performance followed the trend of UV (275)/Cl2 > UV (265)/Cl2 > UV (310)/Cl2 > UV (254)/Cl2. RCS like Cl•, Cl2−• and ClO• contributed to the degradation of TMP. When the pH was increased from 6 to 8, contribution from hydroxyl radicals (HO• ) was decreased whilst that of RCS was increased. Application of UV (310)/Cl2 had the highest HO• generation, contributing to TMP removals up to 13% to 48% as compared to 5% to 27% in UV (254, 265, 275)/Cl2 systems at pH 6-9. Artificial neural networks modelling was found to be able to verify and predict the contribution of HO• and RCS conventionally calculated via the general kinetic equations in the UV/Cl2 system at 254, 265, 275 and 310 nm. Subject Ultraviolet light-emitting diodes (UV-LED)UV/ChlorineTrimethoprimReactive chlorine species (RCS)Machine learningArtificial neural network modelling To reference this document use: http://resolver.tudelft.nl/uuid:171aba09-bb61-4cda-89dd-87639d3f0be5 DOI https://doi.org/10.1016/j.scitotenv.2021.152551 Embargo date 2022-06-21 ISSN 0048-9697 Source Science of the Total Environment, 812, 1-14 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 Ying Shen Teo, Iman Jafari, Fei Liang, Youmi Jung, J.P. van der Hoek, Say Leong Ong, Jiangyong Hu Files PDF 1_s2.0_S0048969721076294_main.pdf 3.72 MB Close viewer /islandora/object/uuid:171aba09-bb61-4cda-89dd-87639d3f0be5/datastream/OBJ/view