Antibiotics in livestock wastewater treatment by using biomass-derived activated carbon supported ZnS nanomaterials
A new type of composite photocatalyst material was successfully prepared through the ultrasound-assisted coprecipitation method precipitate of zinc sulfide (ZnS) nanomaterials on peach wood activated carbon (PAC). The optimization of ZnSPAC demonstrates excellent photocatalytic performance by using...
| Publié dans: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 80(2019), 7 vom: 18. Okt., Seite 1367-1373 |
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| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2019
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| Accès à la collection: | Water science and technology : a journal of the International Association on Water Pollution Research |
| Sujets: | Journal Article Anti-Bacterial Agents Sulfides Waste Water Zinc Compounds Charcoal 16291-96-6 zinc sulfide KPS085631O |
| Résumé: | A new type of composite photocatalyst material was successfully prepared through the ultrasound-assisted coprecipitation method precipitate of zinc sulfide (ZnS) nanomaterials on peach wood activated carbon (PAC). The optimization of ZnSPAC demonstrates excellent photocatalytic performance by using the response surface method (RSM), which is essential for improving photocatalytic performance. In this model it was found that the photocatalytic degradation of enrofloxacin (ENR) increased with microwave heating power and ZnS concentration, whereas it decreased with increasing activation time. The RSM model predicts that under certain conditions (microwave heating power 800 W, activation time 3 h, ZnS 0.5 mol·L-1), the maximum degradation rate of ENR in livestock and poultry wastewater is 97.81%. By empirical testing under the optimum conditions with 97.35% degradation the accuracy of the designed model was proven using RSM and the mechanism of the photocatalytic process was studied |
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| Description: | Date Completed 19.12.2019 Date Revised 07.12.2022 published: Print Citation Status MEDLINE |
| ISSN: | 0273-1223 |
| DOI: | 10.2166/wst.2019.382 |