Modification strategies of BiOI-based visible-light photocatalysts and their efficacy on decomposition of tetracycline antibiotics in water
- Authors
- Sun, Yang; Ahmadi, Younes; Younis, Sherif A.; Kim, Ki-Hyun
- Issue Date
- Sep-2024
- Publisher
- Taylor & Francis
- Keywords
- BiOI photocatalyst; modification strategies; performance evaluation; tetracycline antibiotics; wastewater treatment; Lena Q. Ma and Jose-Julio Ortega-Calvo
- Citation
- Critical Reviews in Environmental Science and Technology, v.54, no.18, pp 1364 - 1393
- Pages
- 30
- Indexed
- SCIE
SCOPUS
- Journal Title
- Critical Reviews in Environmental Science and Technology
- Volume
- 54
- Number
- 18
- Start Page
- 1364
- End Page
- 1393
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210170
- DOI
- 10.1080/10643389.2024.2310350
- ISSN
- 1064-3389
1547-6537
- Abstract
- Photocatalysis is regarded as a potent alternative to conventional treatment methods with low removal efficiency (e.g., activated sludge process) against refractory/recalcitrant antibiotics in wastewater. Here, the potential utility of bismuth oxyiodide (BiOI)-based materials has been evaluated as visible-light–driven photocatalysts (bandgap energy < 2.0 eV) with unique optical structure for the enhanced treatment of tetracyclines (TCs) as a representative antibiotic product. The effects of key modification strategies (e.g., elemental doping and heterojunction formation) on the photocatalytic activity of BiOI-based photocatalysts are assessed against TCs in terms of the key performance metrics such as quantum efficiency (QE) and space-time yield (STY). This review also highlights the challenges and promising opportunities for the photocatalytic application of BiO-based materials against TCs in real effluents. Accordingly, zinc-doped BiOI is recognized to have the maximum efficiency with QE of 2.95 × 10−5 molecules photon−1 and STY of 2.95 × 10−7 molecules photon−1 mg−1. This review is expected to help deepen the exploration path to the construction of efficient BiOI-based systems based on their performance evaluation along with the discussions on their perspectives.
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