TY - JOUR
T1 - Recent trends on numerical investigations of response surface methodology for pollutants adsorption onto activated carbon materials: A review
AU - Anfar, Zakaria
AU - Ait Ahsaine, Hassan
AU - Zbair, Mohamed
AU - Amedlous, Abdallah
AU - Ait El Fakir, Abdellah
AU - Jada, Amane
AU - El Alem, Noureddine
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by the Franco-Moroccan cooperation, CEDocs 2018 research projects. We thank MNEFPESRS, CNRST, SCAC, IFM, Institute of Materials Sciences Mulhouse–Haute Alsace University and the Laboratory of Materials and Environment (LME) - University Ibn Zohr for their support.
PY - 2019/7/25
Y1 - 2019/7/25
N2 - Nowadays, water pollution has been considered a global concern on environmental sustainability, calling for high-performance materials in effective pollution treatments. Adsorption approach has great potential to eliminate persistent inorganic and organic compounds. Activated carbon (AC) materials including their composite materials have been largely investigated under various experimental conditions as low-cost, promising adsorbents to remove contaminants from water resources. In this review, the authors report the most recent development in activated carbon materials for the removal of organic and inorganic pollutants and its modeling counterpart using response surface methodology (RSM) statistical calculations. We also highlights up-to-date studies for the removal of organic pollutants and heavy metals from water using activated carbon materials as adsorbents with a focus on structure-to-properties and the effects of surface functions on adsorption processes. This review also summarizes for the first time the advantages and disadvantages of RSM method in the investigations related to adsorption of pollutants to assess the potential opportunities and challenges for the application of activated carbon materials in wastewater treatment. The critical analyses and conclusions highlighted in this present study should be of benefit to environmental scientists, chemists and engineers interested in the use of AC and optimization tools in environmental remediation.
AB - Nowadays, water pollution has been considered a global concern on environmental sustainability, calling for high-performance materials in effective pollution treatments. Adsorption approach has great potential to eliminate persistent inorganic and organic compounds. Activated carbon (AC) materials including their composite materials have been largely investigated under various experimental conditions as low-cost, promising adsorbents to remove contaminants from water resources. In this review, the authors report the most recent development in activated carbon materials for the removal of organic and inorganic pollutants and its modeling counterpart using response surface methodology (RSM) statistical calculations. We also highlights up-to-date studies for the removal of organic pollutants and heavy metals from water using activated carbon materials as adsorbents with a focus on structure-to-properties and the effects of surface functions on adsorption processes. This review also summarizes for the first time the advantages and disadvantages of RSM method in the investigations related to adsorption of pollutants to assess the potential opportunities and challenges for the application of activated carbon materials in wastewater treatment. The critical analyses and conclusions highlighted in this present study should be of benefit to environmental scientists, chemists and engineers interested in the use of AC and optimization tools in environmental remediation.
UR - http://hdl.handle.net/10754/662202
UR - https://www.tandfonline.com/doi/full/10.1080/10643389.2019.1642835
UR - http://www.scopus.com/inward/record.url?scp=85081134931&partnerID=8YFLogxK
U2 - 10.1080/10643389.2019.1642835
DO - 10.1080/10643389.2019.1642835
M3 - Article
SN - 1064-3389
VL - 50
SP - 1043
EP - 1084
JO - Critical Reviews in Environmental Science and Technology
JF - Critical Reviews in Environmental Science and Technology
IS - 10
ER -