[HTML][HTML] A comprehensive review on conventional and biological-driven heavy metals removal from industrial wastewater

SA Razzak, MO Faruque, Z Alsheikh… - Environmental …, 2022 - Elsevier
Due to high concentrations of numerous harmful and hazardous pollutants, particularly
heavy metals, industrial wastewater has become a major problem. Heavy metal pollution …

Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: Recent advances and prospects

G Alam, I Ihsanullah, M Naushad… - Chemical Engineering …, 2022 - Elsevier
Artificial intelligence (AI) has emerged as a powerful tool to resolve real-world problems and
has gained tremendous attention due to its applications in various fields. In recent years, AI …

Biosorption, an efficient method for removing heavy metals from industrial effluents: a review

AA Beni, A Esmaeili - Environmental Technology & Innovation, 2020 - Elsevier
Common methods for removing heavy metals have numerous drawbacks, including low
efficiency and high costs. In the biosorption of heavy metals, ions biosorbed on surfaces and …

A review of artificial intelligence in water purification and wastewater treatment: Recent advancements

S Safeer, RP Pandey, B Rehman, T Safdar… - Journal of Water …, 2022 - Elsevier
Artificial intelligence (AI) is an emerging powerful novel technology that can model real-time
problems involving numerous intricacies. The modeling capabilities of AI techniques are …

Elucidation of mechanism involved in adsorption of Pb (II) onto lobeira fruit (Solanum lycocarpum) using Langmuir, Freundlich and Temkin isotherms

CST Araújo, ILS Almeida, HC Rezende… - Microchemical …, 2018 - Elsevier
Novelty statement This manuscript entitled “Elucidation of adsorption mechanism of Pb (II)
onto lobeira fruit (Solanum lycocarpum) using a Langmuir, Freundlich and Temkin …

Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research

SK Bhagat, TM Tung, ZM Yaseen - Journal of Cleaner Production, 2020 - Elsevier
The presence of various forms of heavy metals (HMs)(eg, Cu, Cd, Pb, Zn, Cr, Ni, As, Co, Hg,
Fe, Mn, Sb, and Ce) in water bodies and sediment has been increasing due to industrial and …

The wastes of coffee bean processing for utilization in food: a review

SS Arya, R Venkatram, PR More, P Vijayan - Journal of Food Science and …, 2022 - Springer
A few million cubic tons of waste are generated annually as a result of coffee processing. As
a beverage, coffee in itself is a rich source of melanoidins, phenolic compounds, and other …

Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia

SK Bhagat, TM Tung, ZM Yaseen - Journal of Hazardous Materials, 2021 - Elsevier
Lead (Pb) is a primary toxic heavy metal (HM) which present throughout the entire
ecosystem. Some commonly observed challenges in HM (Pb) prediction using artificial …

Application of neural network in metal adsorption using biomaterials (BMs): a review

A Nighojkar, K Zimmermann, M Ateia… - Environmental …, 2023 - pubs.rsc.org
With growing environmental consciousness, biomaterials (BMs) have garnered attention as
sustainable materials for the adsorption of hazardous water contaminants. These BMs are …

Optimizing Eriochrome Black T adsorption through In-Situ polymerization of Poly (aniline-co-formaldehyde) on biochar: Multivariate approach using full factorial …

T Bouzid, A Grich, A Naboulsi, A Regti… - Separation and …, 2024 - Elsevier
Over the past few years, using organic–inorganic composites in wastewater treatment
through adsorption has become increasingly widespread. The combination of activated …