Startseite Powdered activated carbon adsorbent for eosin Y removal: modeling of adsorption isotherm data, thermodynamic and kinetic studies
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Powdered activated carbon adsorbent for eosin Y removal: modeling of adsorption isotherm data, thermodynamic and kinetic studies

  • Yazid Mameri ORCID logo EMAIL logo , Sara Belattar , Nassira Seraghni , Nadra Debbache und Tahar Sehili
Veröffentlicht/Copyright: 30. November 2023
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International Journal of Chemical Reactor Engineering
Aus der Zeitschrift International Journal of Chemical Reactor Engineering Band 22 Heft 2

Abstract

An investigation was conducted to examine the adsorption of eosin Y (EY) from aqueous solution using Powdered Activated Charcoal (PAC) obtained from Biochem Chemopharma (Quebec, Canada) with a surface area of 270 mg/g using the methylene blue method. The adsorption experiments showed that a contact time of 60 min resulted in a high removal efficiency of 98.25 % for EY at a concentration of 10 ppm. The study also offered insights into the effectiveness of different treatment processes and described the main physicochemical processes involved. Various parameters such as adsorbent dosage, contact time, substrate concentration, and pH were evaluated, and the data were analyzed using Freundlich, Langmuir, and Temkin isotherms. The study found that the pseudo-second-order kinetic model provided a better fit to the experimental data compared to the pseudo-first-order model. To optimize the process parameters and enhance overall efficiency, contour plots were employed in the experimental design, considering variables such as adsorbent dosage, contact time, and pH levels. These plots visually represented the relationship between the variables and the removal efficiency of EY, enabling the identification of optimal operating conditions. The investigation’s findings contribute valuable insights into the adsorption of EY using PAC and offer practical implications for improving the efficiency of EY removal in various applications. The use of contour plots in experimental design was highlighted as a crucial tool for refining adsorption process parameters.

Keywords: adsorption kinetics; activated charcoal; dye removal; design of experiments
Corresponding author: Yazid Mameri, Laboratoire des Sciences et Technologies de l’Environnement, département de chimie, Faculté des sciences exactes, Université des Frères Mentouri Constantine 1, 25000 Constantine, Algerie; and Dépatement de pharmacie, Faculté de médecine, Université salah Boubnider Constantine 3, Constantine, Algerie, E-mail:

Acknowledgments

We would like to thank the DGRSDT (Direction Générale de la Recherche Scientifique et du Développement Technologique, Algeria), for the financial support. Our sincere thanks go to Dr. ABDESSEMED Ala from the Biotechnology Research Centre (C.R.Bt) Constantine, Algeria.

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: None declared.

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2023-04-05
Accepted: 2023-11-18
Published Online: 2023-11-30

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Articles
  3. Spectroscopy electrochemical impedance characterization of membranes electrode assemblies for PEM electrolyzers
  4. Designing superoleophobic and flame retardant coatings from fly ash based on layer-by-layer approach
  5. Simultaneous bioenergy production and dairy wastewater treatment by microbial fuel cell using Taguchi method: performance & optimization study
  6. Influence of zinc oxide and graphene nanoparticles on diesel engine’s emission and vibration while fuelled with waste mango seed oil biodiesel
  7. Modified paddy husk carbon with linked fibrils of FeHO2 using aluminium as the surface regulator for enhanced As (III) removal in fixed bed system
  8. Solar assisted CaCl2 desiccant wheel rotor system for simultaneous cooling and dehumidification operation: experimental and modelling approach
  9. CO2 adsorption behavior of a highly-microporous KOH-activated carbon obtained from rice husk waste: kinetic and equilibrium studies
  10. Powdered activated carbon adsorbent for eosin Y removal: modeling of adsorption isotherm data, thermodynamic and kinetic studies
  11. Experimental studies of a continuous catalytic distillation column from startup to steady state for the production of methyl acetate
  12. pH control under model uncertainties
https://doi.org/10.1515/ijcre-2023-0074
Schlagwörter für diesen Artikel
adsorption kinetics; activated charcoal; dye removal; design of experiments

Artikel in diesem Heft

  1. Frontmatter
  2. Articles
  3. Spectroscopy electrochemical impedance characterization of membranes electrode assemblies for PEM electrolyzers
  4. Designing superoleophobic and flame retardant coatings from fly ash based on layer-by-layer approach
  5. Simultaneous bioenergy production and dairy wastewater treatment by microbial fuel cell using Taguchi method: performance & optimization study
  6. Influence of zinc oxide and graphene nanoparticles on diesel engine’s emission and vibration while fuelled with waste mango seed oil biodiesel
  7. Modified paddy husk carbon with linked fibrils of FeHO2 using aluminium as the surface regulator for enhanced As (III) removal in fixed bed system
  8. Solar assisted CaCl2 desiccant wheel rotor system for simultaneous cooling and dehumidification operation: experimental and modelling approach
  9. CO2 adsorption behavior of a highly-microporous KOH-activated carbon obtained from rice husk waste: kinetic and equilibrium studies
  10. Powdered activated carbon adsorbent for eosin Y removal: modeling of adsorption isotherm data, thermodynamic and kinetic studies
  11. Experimental studies of a continuous catalytic distillation column from startup to steady state for the production of methyl acetate
  12. pH control under model uncertainties
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