Performance of TiO2/UV-LED-Based Processes for Degradation of Pharmaceuticals: Effect of Matrix Composition and Process Variables

Abstract

Ultra-violet light-emitting diode (UV-LED)-based processes for water treatment have shown the potential to surpass the hurdles that prevent the adoption of photocatalysis at a large scale due to UV-LEDs’ unique features and design flexibility. In this work, the degradation of five EU Watch List 2020/1161 pharmaceutical compounds was comprehensively investigated. Initially, the UV-A and UV-C photolytic and photocatalytic degradation of individual compounds and their mixtures were explored. A design of experiments (DoE) approach was used to quantify the effects of numerous variables on the compounds’ degradation rate constant, total organic carbon abatement, and toxicity. The reaction mechanisms of UV-A photocatalysis were investigated by adding different radical scavengers to the mix. The influence of the initial pH was tested and a second DoE helped evaluate the impact of matrix constituents on degradation rates during UV-A photocatalysis. The results showed that each compound had widely different responses to each treatment/scenario, meaning that the optimized design will depend on matrix composition, target pollutant reactivity, and required effluent standards. Each situation should be analyzed individually with care. The levels of the electrical energy per order are still unfeasible for practical applications, but LEDs of lower wavelengths (UV-C) are now approaching UV-A performance levels


This research was funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 812880 (NOWELTIES), Joint PhD Laboratory for New Materials and Inventive Water Treatment Technologies, Harnessing resources effectively through innovation. The authors thank Generalitat de Catalunya through the Consolidated Research Group 2017-SGR-1318. ICRA researchers give thanks for funding from the CERCA program/Generalitat de Catalunya

Document Type

Article


Published version


peer-reviewed

Language

English

Publisher

MDPI (Multidisciplinary Digital Publishing Institute)

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info:eu-repo/semantics/altIdentifier/doi/10.3390/nano12020295

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Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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