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Adsorption of Arsenic from Water Using Aluminum-Modified Food Waste Biochar: Optimization Using Response Surface Methodologyoa mark
  • Hashimi, Sayed Q. ;
  • Hong, Seung Hee ;
  • Lee, Chang Gu ;
  • Park, Seong Jik
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Publication Year
2022-09-01
Publisher
MDPI
Citation
Water (Switzerland), Vol.14
Keyword
arsenicbiocharfood wasteoptimizationresponse surface methodology
Mesh Keyword
Adsorption capacitiesAdsorption of arsenicsBiocharBox-behnken modelsCarbonization conditionsFilter mediumsFood wasteOptimisationsPyrolysis temperatureResponse-surface methodology
All Science Classification Codes (ASJC)
Geography, Planning and DevelopmentBiochemistryAquatic ScienceWater Science and Technology
Abstract
Aluminum-impregnated food waste was selected as a filter medium for removing As(III) from aqueous solutions. The modification of food waste and its carbonization conditions were optimized using the Box–Behnken model in the response surface methodology. Pyrolysis temperature and Al content significantly influenced the As(III) adsorption capacity of aluminum-modified food waste biochar (Al-FWB), but the pyrolysis time was insignificant. Several factors affecting the adsorption capacity of the Al-FWB, including the pH, contact time, dosage, competitive anions, and reaction temperature, were studied. The low solution pH and the presence of HCO3−, SO42−, and PO43− reduced the As(III) adsorption onto Al-FWB. The pseudo-second order model showed a better fit for the experimental data, indicating the dominance of the chemisorption process for As(III) adsorption. Langmuir and Freundlich isotherm models fit the adsorption data, but the Langmuir model with a higher (R2) value showed a better fit. Hence, As(Ⅲ) was adsorbed onto Al-FWB as a monolayer, and the maximum As(Ⅲ) adsorption capacity of Al-FWB was 52.2 mg/g, which is a good value compared with the other porous adsorbents. Thus, Al-FWB is a promising low-cost adsorbent for removing As(III) from aqueous solutions and managing food waste.
ISSN
2073-4441
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32908
DOI
https://doi.org/10.3390/w14172712
Fulltext

Type
Article
Funding
This work was supported by Korea Environment Industry & Technology Institute (KEITI) through Aquatic Ecosystem Conservation Research Program, funded by Korea Ministry of Environment (grant number: RE202201970).
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Lee, Chang-Gu 이창구
Department of Environmental and Safety Engineering
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