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Optimization of extractive desulfurization of Malaysian diesel fuel using response surface methodology/Box–Behnken design.

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Title: Optimization of extractive desulfurization of Malaysian diesel fuel using response surface methodology/Box–Behnken design.
Authors: Mokhtar, Wan Nur Aini Wan1, Bakar, Wan Azelee Wan Abu1 wazelee@kimia.fs.utm.my, Ali, Rusmidah1, Kadir, Abdul Aziz Abdul2
Source: Journal of Industrial & Engineering Chemistry. Oct2015, Vol. 30, p274-280. 7p.
Subjects: Desulfurization, Extraction (Chemistry), Diesel fuels, Response surfaces (Statistics), Solvents, Mixtures
Abstract: Systematic experiments were conducted to investigate the most appropriate extraction conditions for sulfur reduction. Initial extraction studies showed that DMF was the most potentially effective solvent. The influence of DMF to diesel ratios, extraction times and temperatures, addition of co-solvent, solvent mixtures, double extractions were explored. The use of co-solvent and solvent mixtures showed poor efficiencies of sulfur removal. A two-stage extraction with ratio of 1:1 (DMF/Diesel) was successfully removed over 88.0% of sulfur in diesel. Under Box–Behnken design, the model showed that maximum extraction ability was observed at 30 °C, 30 min and 1.0 of DMF/diesel ratio to achieved 67.5%. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Industrial & Engineering Chemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 109104850
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
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  Data: Optimization of extractive desulfurization of Malaysian diesel fuel using response surface methodology/Box–Behnken design.
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  Data: <searchLink fieldCode="AR" term="%22Mokhtar%2C+Wan+Nur+Aini+Wan%22">Mokhtar, Wan Nur Aini Wan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bakar%2C+Wan+Azelee+Wan+Abu%22">Bakar, Wan Azelee Wan Abu</searchLink><relatesTo>1</relatesTo><i> wazelee@kimia.fs.utm.my</i><br /><searchLink fieldCode="AR" term="%22Ali%2C+Rusmidah%22">Ali, Rusmidah</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kadir%2C+Abdul+Aziz+Abdul%22">Kadir, Abdul Aziz Abdul</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Industrial+%26+Engineering+Chemistry%22">Journal of Industrial & Engineering Chemistry</searchLink>. Oct2015, Vol. 30, p274-280. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Desulfurization%22">Desulfurization</searchLink><br /><searchLink fieldCode="DE" term="%22Extraction+%28Chemistry%29%22">Extraction (Chemistry)</searchLink><br /><searchLink fieldCode="DE" term="%22Diesel+fuels%22">Diesel fuels</searchLink><br /><searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Solvents%22">Solvents</searchLink><br /><searchLink fieldCode="DE" term="%22Mixtures%22">Mixtures</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Systematic experiments were conducted to investigate the most appropriate extraction conditions for sulfur reduction. Initial extraction studies showed that DMF was the most potentially effective solvent. The influence of DMF to diesel ratios, extraction times and temperatures, addition of co-solvent, solvent mixtures, double extractions were explored. The use of co-solvent and solvent mixtures showed poor efficiencies of sulfur removal. A two-stage extraction with ratio of 1:1 (DMF/Diesel) was successfully removed over 88.0% of sulfur in diesel. Under Box–Behnken design, the model showed that maximum extraction ability was observed at 30 °C, 30 min and 1.0 of DMF/diesel ratio to achieved 67.5%. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Industrial & Engineering Chemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jiec.2015.05.033
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 274
    Subjects:
      – SubjectFull: Desulfurization
        Type: general
      – SubjectFull: Extraction (Chemistry)
        Type: general
      – SubjectFull: Diesel fuels
        Type: general
      – SubjectFull: Response surfaces (Statistics)
        Type: general
      – SubjectFull: Solvents
        Type: general
      – SubjectFull: Mixtures
        Type: general
    Titles:
      – TitleFull: Optimization of extractive desulfurization of Malaysian diesel fuel using response surface methodology/Box–Behnken design.
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            NameFull: Mokhtar, Wan Nur Aini Wan
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            NameFull: Bakar, Wan Azelee Wan Abu
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          Name:
            NameFull: Ali, Rusmidah
      – PersonEntity:
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            NameFull: Kadir, Abdul Aziz Abdul
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          Dates:
            – D: 25
              M: 10
              Text: Oct2015
              Type: published
              Y: 2015
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              Value: 30
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            – TitleFull: Journal of Industrial & Engineering Chemistry
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