A review on activated carbon modifications for the treatment of wastewater containing anionic dyes

K Azam, N Shezad, I Shafiq, P Akhter, F Akhtar, F Jamil… - Chemosphere, 2022 - Elsevier
Polluted water resources, particularly those polluted with industrial effluents' dyes, are
carcinogenic and hence pose a severe threat to sustainable and longstanding worldwide …

Data to intelligence: The role of data-driven models in wastewater treatment

M Bahramian, RK Dereli, W Zhao, M Giberti… - Expert Systems with …, 2023 - Elsevier
Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …

Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater

SK Bhagat, KE Pilario, OE Babalola, T Tiyasha… - Journal of Cleaner …, 2023 - Elsevier
A wide range of dyes are being disposed in water bodies from several industrial runoff and
the quantity is rapidly increasing over the years. From an environmental safety point of view …

Applications of artificial neural networks for adsorption removal of dyes from aqueous solution: a review

AM Ghaedi, A Vafaei - Advances in colloid and interface science, 2017 - Elsevier
Artificial neural networks (ANNs) have been widely applied for the prediction of dye
adsorption during the last decade. In this paper, the applications of ANN methods, namely …

Environmentally friendly reduced graphene oxide as a broad-spectrum adsorbent for anionic and cationic dyes via π–π interactions

J Xiao, W Lv, Z Xie, Y Tan, Y Song… - Journal of Materials …, 2016 - pubs.rsc.org
π–π interactions between graphene and organic dyes with a conjugate aromatic structure
play a key role in the field of high-efficiency, broad-spectrum adsorbents for the removal of …

Mechanism of adsorption on nanomaterials

R Kecili, CM Hussain - Nanomaterials in chromatography, 2018 - Elsevier
Nanomaterials have unique chemical and physical features such as a large surface area,
small size, and high stability compared to conventional bulk materials. Therefore, they are …

Artificial neural network optimization for methyl orange adsorption onto polyaniline nano-adsorbent: kinetic, isotherm and thermodynamic studies

M Tanzifi, SH Hosseini, AD Kiadehi, M Olazar… - Journal of Molecular …, 2017 - Elsevier
This study aims to synthesize a polyaniline nano-adsorbent and use it to adsorb methyl
orange dye from the aqueous solution. The average particle size of nano-adsorbent was …

Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling

SM Alardhi, SS Fiyadh, AD Salman, M Adelikhah - Heliyon, 2023 - cell.com
In this study, methyl orange (MO) dye removal by adsorption utilizing activated carbon made
from date seeds (DPAC) was modeled using an artificial neural network (ANN) technique …

Activated carbon for dyes removal: modeling and understanding the adsorption process

Y El Maguana, N Elhadiri, M Benchanaa… - Journal of …, 2020 - Wiley Online Library
Batch adsorption experiments have been conducted to investigate the removal of methyl
orange from aqueous solution by an activated carbon prepared from prickly pear seed cake …

Mixed phase Fe2O3/Mn3O4 magnetic nanocomposite for enhanced adsorption of methyl orange dye: Neural network modeling and response surface methodology …

M Bhowmik, K Deb, A Debnath… - Applied Organometallic …, 2018 - Wiley Online Library
In this research, a novel magnetic mesoporous adsorbent with mixed phase of
Fe2O3/Mn3O4 nanocomposite was prepared by a facile precipitating method and …