Comparative analysis of the equilibrium, kinetics, and characterization of the mechanism of rapid adsorption of Congo red on nano-biosorbents based on agricultural waste in industrial effluents

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This study aims to remove Congo red dye from industrial effluent using economical agriculturally-based nano-biosorbents like magnetic orange peel, peanut shells, and tea waste. The nano-biosorbents were characterized by various analytical techniques like SEM, FT-IR, BET and XRD. The highest adsorption capacity was obtained under the following ideal conditions: pH = 6 (orange peel and peanut shells), pH = 3 (tea waste), and dosages of nano-biosorbents with varying timeframes of 50 min for tea waste and peanut shells and 30 min for orange peel. The study found that tea waste had the highest removal rate of 94% due to its high porosity and responsible functional groups, followed by peanut shells at 83% and orange peel at 68%. The Langmuir isotherm model was found to be the most suitable, with R2 values of 0.99 for tea waste, 0.92 for orange peel, and 0.71 for peanut shells. On the other hand, a pseudo-second-order kinetic model was very feasible, showing an R2 value of 0.99 for tea waste, 0.98 for peanut shells and 0.97 for orange peel. The significance of the current study lies in its practical application, enabling efficient waste management and water purification, thereby preserving a clean and safe environment.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:358

Enthalten in:

Journal of environmental management - 358(2024) vom: 13. Apr., Seite 120863

Sprache:

Englisch

Beteiligte Personen:

Ajab, Huma [VerfasserIn]
Nayab, Durre [VerfasserIn]
Mannan, Abdul [VerfasserIn]
Waseem, Amir [VerfasserIn]
Jafry, Ali Turab [VerfasserIn]
Yaqub, Asim [VerfasserIn]

Links:

Volltext

Themen:

Agri-waste
Journal Article
Magnetite
Nano-biosorbents
Orange peel
Peanut shell
Tea waste

Anmerkungen:

Date Revised 14.04.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1016/j.jenvman.2024.120863

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM371047188