Experimental design for simultaneous analysis of malachite green and methylene blue; derivative spectrophotometry and principal component-artificial neural network

M Ghaedi, S Hajati, M Zare, SYS Jaberi - RSC advances, 2015 - pubs.rsc.org
In this study, oxidized multiwalled carbon nanotubes (MWCNT) with sizes in the range of 10–
30 nm were efficiently applied for simultaneous and competitive adsorption of malachite …

Isotherm and kinetics study of malachite green adsorption onto copper nanowires loaded on activated carbon: Artificial neural network modeling and genetic algorithm …

M Ghaedi, E Shojaeipour, AM Ghaedi… - Spectrochimica Acta Part …, 2015 - Elsevier
In this study, copper nanowires loaded on activated carbon (Cu-NWs-AC) was used as
novel efficient adsorbent for the removal of malachite green (MG) from aqueous solution …

Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide …

M Ghaedi, N Zeinali, AM Ghaedi, M Teimuori… - … Acta Part A: Molecular …, 2014 - Elsevier
In this study, graphite oxide (GO) nano according to Hummers method was synthesized and
subsequently was used for the removal of methylene blue (MB) and brilliant green (BG). The …

Competitive adsorption of methylene blue and brilliant green onto graphite oxide nano particle following: derivative spectrophotometric and principal component …

N Zeinali, M Ghaedi, G Shafie - Journal of Industrial and Engineering …, 2014 - Elsevier
In this work, the competitive adsorption of methylene blue (MB) and brilliant green (BG) onto
graphite oxide (GO) nanoparticles followed by their accurate and reproducible determination …

Statistical experimental design, least squares-support vector machine (LS-SVM) and artificial neural network (ANN) methods for modeling the facilitated adsorption of …

A Asfaram, M Ghaedi, MHA Azqhandi, A Goudarzi… - RSC …, 2016 - pubs.rsc.org
This study is based on the usage of a composite of zinc sulfide nanoparticles with activated
carbon (ZnS-NPs-AC) for the adsorption of methylene blue (MB) from aqueous solutions …

Towards potential removal of malachite green from wastewater: Adsorption process optimization and prediction

RM Ali, MA Hassaan, MR Elkatory - Materials Science Forum, 2020 - Trans Tech Publ
Granular activated carbon (GAC) is utilized as an adsorbent for the malachite green (MG)
dye removal from aqueous solutions. The GAC was characterized by scanning electron …

Nonlinear kinetic modeling of malachite green adsorption onto green waste bio-adsorbents using CCF-RSM

H Aghdasinia, FN Oskui, G Mirzaei, SS Hosseini… - Chemometrics and …, 2023 - Elsevier
Malachite Green (MG) adsorption by four different bio-adsorbents: Populus Nigra (PN),
Pinus Strobus (PS), Fraxinus Excelsior (FE), and Phragmites Australis (PA) have been …

A hybrid model of support vector regression with genetic algorithm for forecasting adsorption of malachite green onto multi-walled carbon nanotubes: central …

M Ghaedi, K Dashtian, AM Ghaedi… - Physical Chemistry …, 2016 - pubs.rsc.org
The aim of this work is the study of the predictive ability of a hybrid model of support vector
regression with genetic algorithm optimization (GA–SVR) for the adsorption of malachite …

Adsorption of crystal violet onto functionalised multi-walled carbon nanotubes: equilibrium and kinetic studies

V Sabna, SG Thampi, S Chandrakaran - Ecotoxicology and Environmental …, 2016 - Elsevier
Synthetic dyes present in effluent from textile, paper and paint industries contain crystal
violet (CV), a known carcinogenic agent. This study investigates the modification of …

Application of machine/statistical learning, artificial intelligence and statistical experimental design for the modeling and optimization of methylene blue and Cd (II) …

H Mazaheri, M Ghaedi, MHA Azqhandi… - Physical Chemistry …, 2017 - pubs.rsc.org
Analytical chemists apply statistical methods for both the validation and prediction of
proposed models. Methods are required that are adequate for finding the typical features of …