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Multivariate Optimization and Adsorption Characterization of As(III) by Using Fraxinus Tree Leaves.

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Title: Multivariate Optimization and Adsorption Characterization of As(III) by Using Fraxinus Tree Leaves.
Authors: Zolgharnein, Javad1 (AUTHOR) J-zolgharnein@araku.ac.ir, Shahmoradi, Ali1 (AUTHOR), Zolgharnein, Peyman2,3 (AUTHOR), Amani, Saeid1 (AUTHOR)
Source: Chemical Engineering Communications. 2016, Vol. 203 Issue 2, p210-223. 14p. 8 Charts, 9 Graphs.
Subjects: Gettering, Surface preparation, Ash (Tree), Chemical reactions, Chemical reactors, Biochemical engineering, Industrial chemistry, Chemical engineering
Abstract: This study introducesFraxinustree leaves as a new, efficient biosorbent of As(III). A suitable response surface was achieved by running a central composite design. Simultaneous optimization of both responses (R% andq) was carried out and 67% of the goal of desirability function was attained. The results obtained for simultaneous optimization areR = 70% andq = 80.6 mg g−1with 67% desirability inm = 600 mg L−1wheres = 0.10 g and pH = 3.9. Langmuir and Freundlich isotherms model were applied in explaining the sorbent–sorbate equilibrium study, and maximum capacity uptake equals 99.97 mg g−1andKL = 0.05 L mg−1has been obtained. Fourier Transfer Infra-Red (FT-IR) and kinetic results were considered to examine the functional groups involved and the adsorption mechanism. [ABSTRACT FROM PUBLISHER]
Copyright of Chemical Engineering Communications is the property of Taylor & Francis Ltd 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.)
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  Label: Title
  Group: Ti
  Data: Multivariate Optimization and Adsorption Characterization of As(III) by Using Fraxinus Tree Leaves.
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  Data: <searchLink fieldCode="AR" term="%22Zolgharnein%2C+Javad%22">Zolgharnein, Javad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> J-zolgharnein@araku.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Shahmoradi%2C+Ali%22">Shahmoradi, Ali</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zolgharnein%2C+Peyman%22">Zolgharnein, Peyman</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Amani%2C+Saeid%22">Amani, Saeid</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Chemical+Engineering+Communications%22">Chemical Engineering Communications</searchLink>. 2016, Vol. 203 Issue 2, p210-223. 14p. 8 Charts, 9 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Gettering%22">Gettering</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+preparation%22">Surface preparation</searchLink><br /><searchLink fieldCode="DE" term="%22Ash+%28Tree%29%22">Ash (Tree)</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+reactions%22">Chemical reactions</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+reactors%22">Chemical reactors</searchLink><br /><searchLink fieldCode="DE" term="%22Biochemical+engineering%22">Biochemical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+chemistry%22">Industrial chemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+engineering%22">Chemical engineering</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study introducesFraxinustree leaves as a new, efficient biosorbent of As(III). A suitable response surface was achieved by running a central composite design. Simultaneous optimization of both responses (R% andq) was carried out and 67% of the goal of desirability function was attained. The results obtained for simultaneous optimization areR = 70% andq = 80.6 mg g−1with 67% desirability inm = 600 mg L−1wheres = 0.10 g and pH = 3.9. Langmuir and Freundlich isotherms model were applied in explaining the sorbent–sorbate equilibrium study, and maximum capacity uptake equals 99.97 mg g−1andKL = 0.05 L mg−1has been obtained. Fourier Transfer Infra-Red (FT-IR) and kinetic results were considered to examine the functional groups involved and the adsorption mechanism. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Chemical Engineering Communications is the property of Taylor & Francis Ltd 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:
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        Value: 10.1080/00986445.2014.988330
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 210
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      – SubjectFull: Gettering
        Type: general
      – SubjectFull: Surface preparation
        Type: general
      – SubjectFull: Ash (Tree)
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      – SubjectFull: Chemical reactions
        Type: general
      – SubjectFull: Chemical reactors
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      – SubjectFull: Biochemical engineering
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      – SubjectFull: Industrial chemistry
        Type: general
      – SubjectFull: Chemical engineering
        Type: general
    Titles:
      – TitleFull: Multivariate Optimization and Adsorption Characterization of As(III) by Using Fraxinus Tree Leaves.
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          Name:
            NameFull: Zolgharnein, Javad
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            NameFull: Shahmoradi, Ali
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            NameFull: Zolgharnein, Peyman
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            NameFull: Amani, Saeid
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            – D: 01
              M: 02
              Text: 2016
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