Nanomaterial-based AOPs for the removal of organic pollutants in aqueous matrices: A systematic review of response surface methodology (RSM) models DOI Creative Commons
Ramin Nabizadeh,

Samira Sheikhi

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: 35, P. 103718 - 103718

Published: June 14, 2024

Organic pollutants in water mainly originate from human activities and can cause numerous problems for health the environment. In order to avoid these problems, organic must be removed using appropriate effective methods. Advanced oxidation processes (AOPs), which comprise different technologies, have attracted attention recent years due their high efficiency wastewater treatment. This systematic review evaluates effectiveness of nanomaterial-based AOPs removing aqueous solutions. The uniqueness this study is investigation response surface methodology (RSM) models. Specifically, present reviewed six subgroups AOPs, including Fe-based, TiO2-based, Zn-based, Cu-based, Mg-based, a set disparate categorized as others. effects process variables (including pH, contact time, initial pollutant concentration, catalyst dosage) were investigated by considering classification groups. total, 71 studies included review. data primarily analyzed with R software, graphs figures drawn if necessary. average pooled percentages Mg-based removal, regardless type, 87.53 %, 82.61 80.16 82.93 87.93 respectively. Based on review, nano-based efficiently remove matrices. Notably, however, changed depending conditions applied system.

Language: Английский

Microwave Responsive Copper-ferrite (CuFe2O4) Encapsulated in Molybdenum-disulfide (MoS2) Nanoflower Catalyst for Antibiotic Removal via Persulfate Oxidation DOI
Saptarshi Bose, Mathava Kumar

Surfaces and Interfaces, Journal Year: 2024, Volume and Issue: 49, P. 104428 - 104428

Published: May 1, 2024

Language: Английский

Citations

8

Photocatalytic degradation of Sudan black B dye by using synthesized SnO2 nanoparticles as a catalyst: factorial design, kinetic and isotherm models DOI
Muhammad Farooque Lanjwani, Mustafa Tüzen, Muhammad Yar Khuhawar

et al.

Chemical Papers, Journal Year: 2024, Volume and Issue: 78(8), P. 4813 - 4826

Published: April 8, 2024

Language: Английский

Citations

7

Breaking New Grounds: solid-state synthesis of TiO2 – La2O3 – CuO Nanocomposites for degrading Brilliant Green dye under Visible Light DOI
Reguia Boudraa, Djahida Talantikite-Touati, Abdelhafid Souici

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 481, P. 144126 - 144126

Published: Nov. 1, 2024

Language: Английский

Citations

7

Green Synthesis of Nitrogen and Sulfur Doped Carbon Quantum Dots for Dual Sensing Brilliant Green Dye and Cu2+ ions in Environmental Samples DOI

Rishabh,

Manviri Rani, Uma Shanker

et al.

New Journal of Chemistry, Journal Year: 2024, Volume and Issue: 48(26), P. 11717 - 11728

Published: Jan. 1, 2024

Nitrogen and sulfur-doped carbon quantum dots (N,S-CQDs) were successfully synthesized utilizing Aegle Marmelos as an environmentally friendly precursor via innovative method.

Language: Английский

Citations

6

Nanomaterial-based AOPs for the removal of organic pollutants in aqueous matrices: A systematic review of response surface methodology (RSM) models DOI Creative Commons
Ramin Nabizadeh,

Samira Sheikhi

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: 35, P. 103718 - 103718

Published: June 14, 2024

Organic pollutants in water mainly originate from human activities and can cause numerous problems for health the environment. In order to avoid these problems, organic must be removed using appropriate effective methods. Advanced oxidation processes (AOPs), which comprise different technologies, have attracted attention recent years due their high efficiency wastewater treatment. This systematic review evaluates effectiveness of nanomaterial-based AOPs removing aqueous solutions. The uniqueness this study is investigation response surface methodology (RSM) models. Specifically, present reviewed six subgroups AOPs, including Fe-based, TiO2-based, Zn-based, Cu-based, Mg-based, a set disparate categorized as others. effects process variables (including pH, contact time, initial pollutant concentration, catalyst dosage) were investigated by considering classification groups. total, 71 studies included review. data primarily analyzed with R software, graphs figures drawn if necessary. average pooled percentages Mg-based removal, regardless type, 87.53 %, 82.61 80.16 82.93 87.93 respectively. Based on review, nano-based efficiently remove matrices. Notably, however, changed depending conditions applied system.

Language: Английский

Citations

6