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Statistical physics double-layer models for the experimental study and theoretical modeling of methyl orange dye adsorption on AlMnTiO nanocomposite.

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Title: Statistical physics double-layer models for the experimental study and theoretical modeling of methyl orange dye adsorption on AlMnTiO nanocomposite.
Authors: Sonawane, Mahesh R.1 (AUTHOR), Chhowala, Tarulata N.1 (AUTHOR), Suryawanshi, K. E.2 (AUTHOR), Fegade, Umesh3 (AUTHOR), Inamuddin4 (AUTHOR), Naushad, Mu.5 (AUTHOR), Bathula, Chinna6 (AUTHOR)
Source: Journal of Environmental Science & Health. Part A. Toxic/Hazardous Substances & Environmental Engineering. 2023, Vol. 58 Issue 5, p447-458. 12p.
Subject Terms: *Adsorption (Chemistry), Statistical physics, Nanocomposite materials, Adsorption isotherms, Statistical models, Engineering laboratories, Dyes & dyeing
Abstract: A Al2O3/MnO2/TiO2 (AlMnTiO) nanocomposite was synthesized using the thermal coprecipitation method and the adsorption performance of methyl orange (MO) dye from aqueous solution was carried out. Single-parameter optimization was used to explore the properties of AlMnTiO nanocomposite parameters on dye adsorption, including dose of adsorbent, solution pH, contact duration, and starting MO concentration. The model is the appropriate adsorption isotherm for the equilibrium process using a pseudo-second-order kinetic model property. Langmuir plot had a Qmax (mg/g) of 198.4 and best fitted (R2=0.990) among different isotherm models. The relevant parameters were computed using the dual-energy binary-layer statistical physics model. The statistical physics binary-layer model yield n (stoichiometric coefficient) values of 0.410, 0.440, and 0.453, all values are below 1, demonstrating the multi-docking process. AlMnTiO nanocomposite was regenerated up to six times, making the material extremely cost-effective. Using AlMnTiO nanocomposite, MO dye was removed from wastewater both in the laboratory and on the industrial scale. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Environmental Science & Health. Part A. Toxic/Hazardous Substances & Environmental Engineering 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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  Data: Statistical physics double-layer models for the experimental study and theoretical modeling of methyl orange dye adsorption on AlMnTiO nanocomposite.
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  Data: <searchLink fieldCode="AR" term="%22Sonawane%2C+Mahesh+R%2E%22">Sonawane, Mahesh R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chhowala%2C+Tarulata+N%2E%22">Chhowala, Tarulata N.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Suryawanshi%2C+K%2E+E%2E%22">Suryawanshi, K. E.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fegade%2C+Umesh%22">Fegade, Umesh</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Inamuddin%22">Inamuddin</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Naushad%2C+Mu%2E%22">Naushad, Mu.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bathula%2C+Chinna%22">Bathula, Chinna</searchLink><relatesTo>6</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Environmental+Science+%26+Health%2E+Part+A%2E+Toxic%2FHazardous+Substances+%26+Environmental+Engineering%22">Journal of Environmental Science & Health. Part A. Toxic/Hazardous Substances & Environmental Engineering</searchLink>. 2023, Vol. 58 Issue 5, p447-458. 12p.
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  Data: *<searchLink fieldCode="DE" term="%22Adsorption+%28Chemistry%29%22">Adsorption (Chemistry)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+physics%22">Statistical physics</searchLink><br /><searchLink fieldCode="DE" term="%22Nanocomposite+materials%22">Nanocomposite materials</searchLink><br /><searchLink fieldCode="DE" term="%22Adsorption+isotherms%22">Adsorption isotherms</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+laboratories%22">Engineering laboratories</searchLink><br /><searchLink fieldCode="DE" term="%22Dyes+%26+dyeing%22">Dyes & dyeing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A Al2O3/MnO2/TiO2 (AlMnTiO) nanocomposite was synthesized using the thermal coprecipitation method and the adsorption performance of methyl orange (MO) dye from aqueous solution was carried out. Single-parameter optimization was used to explore the properties of AlMnTiO nanocomposite parameters on dye adsorption, including dose of adsorbent, solution pH, contact duration, and starting MO concentration. The model is the appropriate adsorption isotherm for the equilibrium process using a pseudo-second-order kinetic model property. Langmuir plot had a Qmax (mg/g) of 198.4 and best fitted (R2=0.990) among different isotherm models. The relevant parameters were computed using the dual-energy binary-layer statistical physics model. The statistical physics binary-layer model yield n (stoichiometric coefficient) values of 0.410, 0.440, and 0.453, all values are below 1, demonstrating the multi-docking process. AlMnTiO nanocomposite was regenerated up to six times, making the material extremely cost-effective. Using AlMnTiO nanocomposite, MO dye was removed from wastewater both in the laboratory and on the industrial scale. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Environmental Science & Health. Part A. Toxic/Hazardous Substances & Environmental Engineering 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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      – Type: doi
        Value: 10.1080/10934529.2023.2190710
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 12
        StartPage: 447
    Subjects:
      – SubjectFull: Adsorption (Chemistry)
        Type: general
      – SubjectFull: Statistical physics
        Type: general
      – SubjectFull: Nanocomposite materials
        Type: general
      – SubjectFull: Adsorption isotherms
        Type: general
      – SubjectFull: Statistical models
        Type: general
      – SubjectFull: Engineering laboratories
        Type: general
      – SubjectFull: Dyes & dyeing
        Type: general
    Titles:
      – TitleFull: Statistical physics double-layer models for the experimental study and theoretical modeling of methyl orange dye adsorption on AlMnTiO nanocomposite.
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            NameFull: Sonawane, Mahesh R.
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            NameFull: Chhowala, Tarulata N.
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              M: 04
              Text: 2023
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