Recent advances in biochar technology for textile dyes wastewater remediation: A review

S Sutar, P Patil, J Jadhav - Environmental Research, 2022 - Elsevier
With the continuous rise of industrialization and agriculture, the concentration of organic
contaminants such as dyes in the ecosystem has increased in subsequent years, causing …

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 …

Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: equilibrium, kinetic, and thermodynamic modeling, and …

C Karaman, O Karaman, PL Show, H Karimi-Maleh… - Chemosphere, 2022 - Elsevier
Herein, it was aimed to optimize, model, and forecast the biosorption of Congo Red onto
biomass-derived biosorbent. Therefore, the waste-orange-peels were processed to fabricate …

Artificial neural network and statistical modelling of biosorptive removal of hexavalent chromium using macroalgal spent biomass

R Vinayagam, N Dave, T Varadavenkatesan… - Chemosphere, 2022 - Elsevier
This study focused on the sustainable removal of chromium in its hexavalent form by
adsorption using sugar-extracted spent marine macroalgal biomass–Ulva prolifera. The …

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

W Zhang, R Chen, J Li, T Huang, B Wu, J Ma, Q Wen… - Biochar, 2023 - Springer
Due to large specific surface area, abundant functional groups and low cost, biochar is
widely used for pollutant removal. The adsorption performance of biochar is related to …

[HTML][HTML] Thermodynamic valorisation of lignocellulosic biomass green sorbents for toxic pollutants removal

E Šehović, M Memić, J Sulejmanović, M Hameed… - Chemosphere, 2022 - Elsevier
Various toxic heavy metals have become hazardous to human health as well as the
environment. This research has been focused on a biosorption/bioremoval process of …

Prediction of gas yield generated by energy recovery from municipal solid waste using deep neural network and moth-flame optimization algorithm

L Yang, H Nguyen, XN Bui, T Nguyen-Thoi… - Journal of Cleaner …, 2021 - Elsevier
In recent years, the strong development of urban areas and rapid population growth have
contributed significantly to environmental pollution issues, especially SW. Of those …

Application and innovation of artificial intelligence models in wastewater treatment

WL Xu, YJ Wang, YT Wang, JG Li, YN Zeng… - Journal of Contaminant …, 2024 - Elsevier
At present, as the problem of water shortage and pollution is growing serious, it is
particularly important to understand the recycling and treatment of wastewater. Artificial …

Adsorption of Congo red from aqueous solution onto KOH-activated biochar produced via pyrolysis of pine cone and modeling of the process using artificial neural …

N Kaya, Z Yıldız Uzun, C Altuncan, H Uzun - Biomass Conversion and …, 2022 - Springer
Most of dyes cause various environmental and health problems due to their toxic,
mutagenic, and even carcinogenic properties. Therefore, several treatment methods are …

Impact of carbonization reactor compartment size on groundnut (Arachis hypogaea) shell biochar properties

OR Ayanwusi, SA Abdulkareem… - International Journal of …, 2024 - degruyter.com
This study investigates the impact of low-temperature top-lit updraft reactor chamber size on
GNSBC yield and properties. For this study, the volumes of carbonization chamber (2,364 …