Removal of penicillin G from aqueous phase by Fe+3-TiO2/UV-A process
| Autor: | Amir Anushiravani, Mansooreh Dehghani, Mehdi Jahangiri, Simin Nasseri, Mohammadreza Samaei, Mohammad Reza Samaei |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Environmental Engineering
medicine.drug_class Contact time Health Toxicology and Mutagenesis Antibiotics Applied Microbiology and Biotechnology Catalysis chemistry.chemical_compound medicine Fortified titanium dioxide with Fe+ Waste Management and Disposal Water Science and Technology Antibiotic Public Health Environmental and Occupational Health Aqueous two-phase system Penicillin G Nano-photo catalyst removal Metabolism Pollution Penicillin chemistry Chemical engineering Titanium dioxide Environmental science Sewage treatment Research Article Nuclear chemistry medicine.drug |
| Zdroj: | Journal of Environmental Health Science and Engineering |
| ISSN: | 2052-336X |
| DOI: | 10.1186/2052-336x-12-56 |
| Popis: | Background Anomalous use of antibiotics and their entrance into the environment have increased concerns around the world. These compounds enter the environment through an incomplete metabolism and a considerable amount of them cannot be removed using conventional wastewater treatment. Therefore, the main objectives of this research are evaluation of the feasibility of using ultraviolet radiation (UV-A) and fortified nanoparticles of titanium dioxide (TiO2) doped with Fe+3 to remove penicillin G (PENG) from aqueous phase and determining the optimum conditions for maximum removal efficiency. Results The results showed that the maximum removal rate of penicillin G occurred in acidic pH (pH = 3) in the presence of 90 mg/L Fe+3-TiO2 catalyst. In addition, an increase in pH caused a decrease in penicillin G removal rate. As the initial concentration of penicillin G increased, the removal rate of antibiotic decreased. Moreover, due to the effect of UV on catalyst activation in Fe+3-TiO2/UV-A process, a significant increase was observed in the rate of antibiotic removal. All of the variables in the process had a statistically significant effect (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|