| Literature DB >> 31271992 |
João Gomes1, João Lincho2, Eva Domingues2, Marta Gmurek3, Pawel Mazierski4, Adriana Zaleska-Medynska4, Tomasz Klimczuk5, Rosa M Quinta-Ferreira2, Rui C Martins2.
Abstract
Self-organized TiO2 nanotubes as immobilized photocatalysts were evaluated in detail for the photocatalytic degradation of parabens mixtures from ultrapure water. This kind of approach can be a very suitable option for emerging contaminants degradation considering the possibility of the catalyst reuse and recovery which will be simpler than when catalytic powders are used. The anodization method was applied for the TiO2 nanotubes production under different preparation voltages (20, 30 and 40 V). These preparation conditions are important on the morphological characteristics of nanotubes such as length, as well as internal and external diameters. The photocatalytic efficiency was dependent on the materials preparation voltages. The photocatalytic oxidation was evaluated using two different irradiation sources, namely UVA and sunlight. These irradiation sources were evaluated for parabens mixture degradation using different number of catalytic plates. The increase of the number of plates improved the parabens degradation possibly due to the availability of more active sites which can be relevant for the hydroxyl radical's generation. The effect of the reactor design was also evaluated using sunlight irradiation. The configuration, position and solar concentrators can be important for the performance of degradation. The mechanism of degradation was analysed through by-products formation under sunlight irradiation. The main responsible for parabens degradation was hydroxyl radical. Decarboxylation, dealkylation and hydroxylation seem to be the most important reactional steps for the mixture decontamination.Entities:
Keywords: By-products; Nanotubes; Parabens; Reactor design; Sun-driven technologies
Year: 2019 PMID: 31271992 DOI: 10.1016/j.scitotenv.2019.06.410
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963