Optimization of Fenton’s oxidation of herbicide dicamba in water using response surface methodology
| dc.contributor.author | Sangami, S. | |
| dc.contributor.author | Manu, B. | |
| dc.date.accessioned | 2026-02-05T09:31:54Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | In this study Fenton’s oxidation of dicamba in aqueous medium was investigated by using the response surface methodology. The influence of H<inf>2</inf>O<inf>2</inf>/COD (A), H<inf>2</inf>O<inf>2</inf>/Fe2+ (B), pH (C) and reaction time (D) as independent variables were studied on two responses (COD and dicamba removal efficiency). The dosage of H<inf>2</inf>O<inf>2</inf> (5.35–17.4 mM) and Fe2+ (0.09–2.13 mM) were varied and optimum percentage removal of dicamba of 84.01% with H<inf>2</inf>O<inf>2</inf> and Fe2+ dosage of 11.38 and 0.33 mM respectively. The whole oxidation process was monitored by high performance liquid chromatography (HPLC) along with liquid chromatography/mass spectrometry (LC/MS). It was found that 82% of dicamba was mineralized to oxalic acid, chloride ion, CO<inf>2</inf> and H<inf>2</inf>O, which was confirmed with COD removal of 81.53%. The regression analysis was performed, in which standard deviation (<4%), coefficient of variation (<8), F value (Fisher’s Test) (>2.74), coefficient of correlation (R2 = Radj2) and adequate precision (>12) were in good agreement with model values. Finally, the treatment process was validated by performing the additional experiments. © 2017, The Author(s). | |
| dc.identifier.citation | Applied Water Science, 2017, 7, 8, pp. 4269-4280 | |
| dc.identifier.issn | 21905487 | |
| dc.identifier.uri | https://doi.org/10.1007/s13201-017-0559-8 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/25404 | |
| dc.publisher | Springer Verlag | |
| dc.subject | Chemical oxygen demand | |
| dc.subject | Chlorine compounds | |
| dc.subject | Herbicides | |
| dc.subject | High performance liquid chromatography | |
| dc.subject | Oxalic acid | |
| dc.subject | Oxidation | |
| dc.subject | Regression analysis | |
| dc.subject | Surface properties | |
| dc.subject | Weed control | |
| dc.subject | Agriculture runoff | |
| dc.subject | Aqueous media | |
| dc.subject | Dicamba | |
| dc.subject | Fenton’s process | |
| dc.subject | Independent variables | |
| dc.subject | Optimisations | |
| dc.subject | Oxidation process | |
| dc.subject | Removal efficiencies | |
| dc.subject | Response-surface methodology | |
| dc.subject | S-process | |
| dc.subject | Iron compounds | |
| dc.subject | aqueous solution | |
| dc.subject | herbicide | |
| dc.subject | optimization | |
| dc.subject | oxidation | |
| dc.subject | response surface methodology | |
| dc.subject | runoff | |
| dc.subject | water quality | |
| dc.title | Optimization of Fenton’s oxidation of herbicide dicamba in water using response surface methodology |
