Efficient Removal of Methylene Blue Dye Using Mangosteen Peel Waste: Kinetics, Isotherms and Artificial Neural Network (ANN) Modelling

doi 10.5004/dwt.2017.21295
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Desalination Publications

Related search

Fast Adsorptive Removal of Methylene Blue Dye From Aqueous Solution Onto a Wild Carrot Flower Activated Carbon: Isotherms and Kinetics Studies

2017English

Microwave-Hydrothermal Treated Grape Peel as an Efficient Biosorbent for Methylene Blue Removal

International Journal of Environmental Research and Public Health
MutagenesisPublic HealthEnvironmentalHealthToxicologyOccupational HealthPollution
2018English

Removal of Methylene Blue Dye From Synthetic Wastewater Using Kenaf Core and Activated Carbon

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Removal of Methylene Blue by Using Biosolid

Global Nest Journal
Environmental Science
2013English

Plantain Peel Mediated Green Synthesis Iron Oxide Nanoparticles, Surface Functionalization, and Them Performance Towards Methylene Blue and Methyl Orange Dye Removal

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Removal of Methylene Blue Dye Pollutant From Aqueous Solution Using Sugar Cane Bark and Chaff Biomass

International Letters of Chemistry, Physics and Astronomy
2016English

Constitutive Modelling of INCONEL 718 Using Artificial Neural Network

IOP Conference Series: Materials Science and Engineering
Materials ScienceEngineering
2017English

Removal of Methylene Blue Using Used Paper Powder

Jurnal Kimia Sains dan Aplikasi
2019English

Optimization of Removal Efficiency of an Anionic Dye Onto Magnetic Fe3O4-Activated Carbon Nanocomposite Using Artificial Neural Network

Journal of Environmental Health Engineering
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy