Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous Catalyst
Herein, we prepared a V/SBA-16 catalyst using vanadyl acetylacetonate as a precursor and SBA-16 nanoporous silica as a support via an immobilization technique. The ordered mesoporous structure of catalyst was determined by X-ray diffraction and transmission electron microscopy techniques , and the...
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| Format: | Article |
| Language: | English |
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Nanoscience and Nanotechnology Research Center, University of Kashan
2016-04-01
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| Series: | Journal of Nanostructures |
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| Online Access: | http://jns.kashanu.ac.ir/article_15486_cdb9b50de65b43b1a07d46a452123a36.pdf |
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| author | Milad Jourshabani Alireza Badiei Negar Lashgari Ghodsi Mohammadi Ziarani |
| author_facet | Milad Jourshabani Alireza Badiei Negar Lashgari Ghodsi Mohammadi Ziarani |
| author_sort | Milad Jourshabani |
| collection | DOAJ |
| description | Herein, we prepared a V/SBA-16 catalyst using vanadyl acetylacetonate as a precursor and SBA-16 nanoporous silica as a support via an immobilization technique. The ordered mesoporous structure of catalyst was determined by X-ray diffraction and transmission electron microscopy techniques , and the catalyst was evaluated in the benzene hydroxylation to phenol with hydrogen peroxide (H2O2) as a green oxidant. The effects of three key factors, namely reaction temperature (°C), H2O2 content (mL) and catalyst amount (g) at five levels (“1.68, “1, 0, +1, +1.68), and also their interaction on the phenol yield were investigated using response surface methodology combined with central composite design. The high correlation coefficient (R2), i.e., 0.983, showed that the data predicted using RSM were in good agreement with the experimental results. The optimization results also exhibited that high phenol yield (17.09%) was achieved at the optimized values of the operating variables: the reaction temperature of 61 °C, H2O2 content of 1.69 mL and a catalyst amount of 0.1 g. In addition, response surface methodology provides a reliable method for optimizing process variables for benzene hydroxylation to phenol, with the minimum number of experiments. |
| first_indexed | 2024-12-21T20:56:11Z |
| format | Article |
| id | doaj.art-84d4350d4d714bb490562926c298d1a2 |
| institution | Directory Open Access Journal |
| issn | 2251-7871 2251-788X |
| language | English |
| last_indexed | 2024-12-21T20:56:11Z |
| publishDate | 2016-04-01 |
| publisher | Nanoscience and Nanotechnology Research Center, University of Kashan |
| record_format | Article |
| series | Journal of Nanostructures |
| spelling | doaj.art-84d4350d4d714bb490562926c298d1a22022-12-21T18:50:35ZengNanoscience and Nanotechnology Research Center, University of KashanJournal of Nanostructures2251-78712251-788X2016-04-016210711510.7508/jns.2016.02.00115486Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous CatalystMilad Jourshabani0Alireza Badiei1Negar Lashgari2Ghodsi Mohammadi Ziarani3School of Chemistry, College of Science, University of Tehran, Tehran, IranSchool of Chemistry, College of Science, University of Tehran, Tehran, Iran and Nanobiomedicine Center of Excellence, Nanoscience and Nanotechnology Research Center, University of Tehran, Tehran, IranSchool of Chemistry, College of Science, University of Tehran, Tehran, IranDepartment of Chemistry, Alzahra University, Tehran, IranHerein, we prepared a V/SBA-16 catalyst using vanadyl acetylacetonate as a precursor and SBA-16 nanoporous silica as a support via an immobilization technique. The ordered mesoporous structure of catalyst was determined by X-ray diffraction and transmission electron microscopy techniques , and the catalyst was evaluated in the benzene hydroxylation to phenol with hydrogen peroxide (H2O2) as a green oxidant. The effects of three key factors, namely reaction temperature (°C), H2O2 content (mL) and catalyst amount (g) at five levels (“1.68, “1, 0, +1, +1.68), and also their interaction on the phenol yield were investigated using response surface methodology combined with central composite design. The high correlation coefficient (R2), i.e., 0.983, showed that the data predicted using RSM were in good agreement with the experimental results. The optimization results also exhibited that high phenol yield (17.09%) was achieved at the optimized values of the operating variables: the reaction temperature of 61 °C, H2O2 content of 1.69 mL and a catalyst amount of 0.1 g. In addition, response surface methodology provides a reliable method for optimizing process variables for benzene hydroxylation to phenol, with the minimum number of experiments.http://jns.kashanu.ac.ir/article_15486_cdb9b50de65b43b1a07d46a452123a36.pdfBenzene hydroxylationPhenol yieldResponse surface methodologyV/SBA-16 catalyst |
| spellingShingle | Milad Jourshabani Alireza Badiei Negar Lashgari Ghodsi Mohammadi Ziarani Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous Catalyst Journal of Nanostructures Benzene hydroxylation Phenol yield Response surface methodology V/SBA-16 catalyst |
| title | Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous Catalyst |
| title_full | Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous Catalyst |
| title_fullStr | Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous Catalyst |
| title_full_unstemmed | Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous Catalyst |
| title_short | Application of Response Surface Methodology as an Efficient Approach for Optimization of Operational Variables in Benzene Hydroxylation to Phenol by V/SBA-16 Nanoporous Catalyst |
| title_sort | application of response surface methodology as an efficient approach for optimization of operational variables in benzene hydroxylation to phenol by v sba 16 nanoporous catalyst |
| topic | Benzene hydroxylation Phenol yield Response surface methodology V/SBA-16 catalyst |
| url | http://jns.kashanu.ac.ir/article_15486_cdb9b50de65b43b1a07d46a452123a36.pdf |
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