Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach
The aim of this study was to apply the central composite design technique to study the interaction of the amount of formic acid (6-12 mL), amount of hydrogen peroxide (6-10 mL), temperature (54-58°C) and reaction time (40-60 min) during the oxidative desulphurisation (ODS) of tyre-derived oil (TDO)....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2019-01-01
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| Series: | Green Processing and Synthesis |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/gps-2019-0013 |
| _version_ | 1830139492045946880 |
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| author | Cherop Peter Tumwet Kiambi Sammy Lewis Musonge Paul |
| author_facet | Cherop Peter Tumwet Kiambi Sammy Lewis Musonge Paul |
| author_sort | Cherop Peter Tumwet |
| collection | DOAJ |
| description | The aim of this study was to apply the central composite design technique to study the interaction of the amount of formic acid (6-12 mL), amount of hydrogen peroxide (6-10 mL), temperature (54-58°C) and reaction time (40-60 min) during the oxidative desulphurisation (ODS) of tyre-derived oil (TDO). The TDO was oxidised at various parametric interactions before being subjected to solvent extraction using acetonitrile. The acetonitrile to oil ratios used during the extraction were 1:1 and 1:2. The content of sulphur before and after desulphurisation was analysed using ICP-AES. The maximum sulphur removal achieved using a 1:1 acetonitrile to oxidised oil ratio was 86.05%, and this was achieved at formic acid amount, hydrogen peroxide amount, temperature and a reaction time of 9 mL, 8 mL, 54°C and 50 min respectively. Analysis of variance (ANOVA) indicated that the reduced cubic model could best predict the sulphur removal for the ODS process. Coefficient of determination (R2 = 0.9776), adjusted R2 = 0.9254, predicted R2 = 0.8356 all indicated that the model was significant. In addition, the p-value of lack of fit (LOF) was 0.8926, an indication of its insignificance relative to pure error. |
| first_indexed | 2024-12-17T08:45:10Z |
| format | Article |
| id | doaj.art-44f2a28abdd44c2fb2d07078a4f1ad16 |
| institution | Directory Open Access Journal |
| issn | 2191-9550 |
| language | English |
| last_indexed | 2024-12-17T08:45:10Z |
| publishDate | 2019-01-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Green Processing and Synthesis |
| spelling | doaj.art-44f2a28abdd44c2fb2d07078a4f1ad162022-12-21T21:56:14ZengDe GruyterGreen Processing and Synthesis2191-95502019-01-018145146310.1515/gps-2019-0013gps-2019-0013Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approachCherop Peter Tumwet0Kiambi Sammy Lewis1Musonge Paul2Department of Chemical Engineering, Durban University of Technology. P.O Box 1334, Durban4000, South AfricaDepartment of Chemical Engineering, Durban University of Technology. P.O Box 1334, Durban4000, South AfricaDepartment of Chemical Engineering, Durban University of Technology. P.O Box 1334, Durban4000, South AfricaThe aim of this study was to apply the central composite design technique to study the interaction of the amount of formic acid (6-12 mL), amount of hydrogen peroxide (6-10 mL), temperature (54-58°C) and reaction time (40-60 min) during the oxidative desulphurisation (ODS) of tyre-derived oil (TDO). The TDO was oxidised at various parametric interactions before being subjected to solvent extraction using acetonitrile. The acetonitrile to oil ratios used during the extraction were 1:1 and 1:2. The content of sulphur before and after desulphurisation was analysed using ICP-AES. The maximum sulphur removal achieved using a 1:1 acetonitrile to oxidised oil ratio was 86.05%, and this was achieved at formic acid amount, hydrogen peroxide amount, temperature and a reaction time of 9 mL, 8 mL, 54°C and 50 min respectively. Analysis of variance (ANOVA) indicated that the reduced cubic model could best predict the sulphur removal for the ODS process. Coefficient of determination (R2 = 0.9776), adjusted R2 = 0.9254, predicted R2 = 0.8356 all indicated that the model was significant. In addition, the p-value of lack of fit (LOF) was 0.8926, an indication of its insignificance relative to pure error.https://doi.org/10.1515/gps-2019-0013tyre-derived oiloxidative desulphurisationcentral composite designresponse surface |
| spellingShingle | Cherop Peter Tumwet Kiambi Sammy Lewis Musonge Paul Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach Green Processing and Synthesis tyre-derived oil oxidative desulphurisation central composite design response surface |
| title | Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach |
| title_full | Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach |
| title_fullStr | Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach |
| title_full_unstemmed | Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach |
| title_short | Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach |
| title_sort | modelling and optimisation of oxidative desulphurisation of tyre derived oil via central composite design approach |
| topic | tyre-derived oil oxidative desulphurisation central composite design response surface |
| url | https://doi.org/10.1515/gps-2019-0013 |
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