Type-1 α-FeO/TiO photocatalytic degradation of tetracycline from wastewater using CCD-based RSM optimization.

Chemosphere

Department of Civil Engineering and Industrial Design, School of Engineering, University of Liverpool, Liverpool, L69 3GH, UK. Electronic address:

Published: September 2023

Antibiotic pollution in water is a growing threat to public health and the environment, leading to the spread of antimicrobial-resistant bacteria. While photocatalysis has emerged as a promising technology for removing antibiotics from water, its limited efficiency in the visible light range remains a challenge. In this study, we present a novel method for the photocatalytic degradation of tetracycline, the second most commonly used antibiotic worldwide, using α-FeO/TiO nanocomposites synthesized via rapid sonochemical and wet impregnation methods. The nanocomposites were characterised and tested using a range of techniques, including BET, TEM, FTIR, XRD, FESEM, EDS, and UV-Vis. The RSM-CCD method was also used to optimize the degradation process by varying four key variables (initial concentration, photocatalyst quantity, irradiation time, and pH). The resulting optimized conditions achieved a remarkable degradation rate of 97.5%. We also investigated the mechanism of photodegradation and the reusability of the photocatalysts, as well as the effect of light source operating conditions. Overall, the results demonstrate the effectiveness of the proposed approach in degrading tetracycline in water and suggest that it may be a promising, eco-friendly technology for the treatment of water contaminated with antibiotics.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.chemosphere.2023.139311DOI Listing

Publication Analysis

Top Keywords

photocatalytic degradation
8
degradation tetracycline
8
type-1 α-feo/tio
4
α-feo/tio photocatalytic
4
degradation
4
tetracycline wastewater
4
wastewater ccd-based
4
ccd-based rsm
4
rsm optimization
4
optimization antibiotic
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!