The impact of material design on the photocatalytic removal efficiency and toxicity of two textile dyes-Reference-Cited by-同舟云学术

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The impact of material design on the photocatalytic removal efficiency and toxicity of two textile dyes

Published:2022-05-04 Issue:44 Volume:29 Page:66640-66658
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Cherif Sonia,Djelal Hayet,Firmin Stephane,Bonnet Pierre,Frezet Lawrence,Kane Abdoulaye,Amine Assadi Aymen,Trari Mohamed,Yazid Hynda

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-022-20452-2.pdf

Reference65 articles.

1. Afreen G, Shoeb M, Upadhyayula S (2020) Effectiveness of reactive oxygen species generated from rGO/CdS QD heterostructure for photodegradation and disinfection of pollutants in waste water. Mater Sci Eng C 108:110372. https://doi.org/10.1016/j.msec.2019.110372

2. Alam R, Ardiati FC, Solihat NN, et al (2020) Biodegradation and metabolic pathway of anthraquinone dyes by Trametes hirsuta D7 immobilized in light expanded clay aggregate and cytotoxicity assessment. J Hazard Mater 124176 https://doi.org/10.1016/j.jhazmat.2020.124176

3. Alam R, Ardiati FC, Solihat NN et al (2021) Biodegradation and metabolic pathway of anthraquinone dyes by Trametes hirsuta D7 immobilized in light expanded clay aggregate and cytotoxicity assessment. J Hazard Mater 405:124176. https://doi.org/10.1016/j.jhazmat.2020.124176

4. Alderete BL, da Silva J, Godoi R, et al (2021) Evaluation of toxicity and mutagenicity of a synthetic effluent containing azo dye after Advanced Oxidation Process treatment. Chemosphere 263 https://doi.org/10.1016/j.chemosphere.2020.128291

5. Ali LI, El-Molla SA, Ibrahim MM et al (2016) Effect of preparation methods and optical band gap of ZnO nanomaterials on photodegradation studies. Opt Mater (amst) 58:484–490. https://doi.org/10.1016/j.optmat.2016.05.034

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