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Removal of Polypropylene Nanoplastics From Aqueous Solution by Biochar Derived From Date Palm Fibers: Kinetics and Isotherms Studies Publisher



Kahkha MRR1 ; Zhaleh MRK2 ; Kahkha BR1 ; Khodadadi M3 ; Faghihizarandi M4
Authors
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Authors Affiliations
  1. 1. Faculty of Health, Zabol University of Medical Sciences, Zabol, Iran
  2. 2. Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Departement of Environmental Health Engineering, School of Health, Medical Toxicology and Drug Abuse Research Center, Birjand University of Medical Sciences, Birjand, Iran
  4. 4. Foreign Languages Department, Shahid Bahonar University of Kerman, Kerman, Iran

Source: Analytical Methods in Environmental Chemistry Journal Published:2023


Abstract

In this work, activated carbon (AC) derived from powder of date palm fibers (DPF) was examined as an adsorbent for removing polypropylene nanoplastics (PPNPs) from aqueous solutions. The adsorbent was characterized using XRD, FT-IR, and SEM analyses. Affecting parameters on removal efficiency in a batch reactor, such as contact time, concentration of PPNPs and amount of adsorbent, were evaluated and optimized. Equilibrium and kinetic studies are performed to understand adsorption mechanisms. In the batch system, 30 mL of polypropylene suspension (5-40 mgL-1) was added to Erlenmeyer flask. First, different amounts of AC adsorbent were added to the container, then microplastic was added to the reactor. The mixture was shaken on a shaker for four hours at 25oC. The flask was removed from the shaker, the concentration of PPNPs in the supernatant was measured, and a settling time of 30 min was obtained. A control suspension system without PPNPs nanoplastics (with biochar and without PPNPs) was also performed to evaluate carbon particle interference by turbidity measurements. Our results showed that kinetic data were consistent with the pseudo-second-order kinetic model. Equilibrium data for the adsorption of PPNPs on biochar represented by the Langmuir isotherm model is better than the Freundlich isotherm model. © 2023, AMEC Publisher. All rights reserved.
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