Application of response surface methodology for statistical analysis, modeling, and optimization of malachite green removal from aqueous solutions by manganese-modified pumice adsorbent

Mapping Intimacies ◽

10.5004/dwt.2017.21366 ◽

2017 ◽

Vol 89 ◽

pp. 150-161 ◽

Cited By ~ 18

Author(s):

Amir Karami ◽

Kamaleddin Karimyan ◽

Reza Davoodi ◽

Mostafa Karimaei ◽

Kiomars Sharafie ◽

...

Keyword(s):

Response Surface Methodology ◽

Statistical Analysis ◽

Aqueous Solutions ◽

Response Surface ◽

Malachite Green ◽

Modeling And Optimization

Download Full-text

Modeling and optimization of pertraction performance of heavy metal ion from aqueous solutions using M2EHPA/D2EHPA: Application of response surface methodology

Environmental Technology & Innovation ◽

10.1016/j.eti.2019.100432 ◽

2019 ◽

Vol 15 ◽

pp. 100432

Author(s):

Arefeh Azarang ◽

Ahmad Rahbar-Kelishami ◽

Reza Norouzbeigi ◽

Hadi Shayesteh

Keyword(s):

Heavy Metal ◽

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Metal Ion ◽

Heavy Metal Ion ◽

Modeling And Optimization

Download Full-text

Application of response surface methodology for modeling and optimization of malachite green adsorption by modified sphagnum peat moss as a low cost biosorbent

10.5004/dwt.2017.1728 ◽

2017 ◽

Vol 59 ◽

pp. 230-242 ◽

Cited By ~ 1

Author(s):

Farimah Sarbisheh ◽

Reza Norouzbeigl ◽

Farnaz Hemmati ◽

Hadi Shayesteh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Malachite Green ◽

Low Cost ◽

Peat Moss ◽

Modeling And Optimization ◽

Sphagnum Peat ◽

Sphagnum Peat Moss

Download Full-text

Removal of Cefixime from aqueous solutions via proxy electrocoagulation: modeling and optimization by response surface methodology

Reaction Kinetics Mechanisms and Catalysis ◽

10.1007/s11144-021-02055-z ◽

2021 ◽

Vol 134 (1) ◽

pp. 459-471 ◽

Cited By ~ 2

Author(s):

Mahdi Asadi-Ghalhari ◽

Roqiyeh Mostafaloo ◽

Nasim Ghafouri ◽

Amin Kishipour ◽

Saideh Usefi ◽

...

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Modeling And Optimization

Download Full-text

Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artificial neural network

Separation and Purification Technology ◽

10.1016/j.seppur.2010.08.016 ◽

2010 ◽

Vol 75 (3) ◽

pp. 273-285 ◽

Cited By ~ 68

Author(s):

N. Marchitan ◽

C. Cojocaru ◽

A. Mereuta ◽

Gh. Duca ◽

I. Cretescu ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Tartaric Acid ◽

Reactive Extraction ◽

Modeling And Optimization ◽

Artificial Neural

Download Full-text

Adsorptive removal of lead from aqueous solutions by amine–functionalized magMCM-41 as a low–cost nanocomposite prepared from rice husk: Modeling and optimization by response surface methodology

Sustainable Chemistry and Pharmacy ◽

10.1016/j.scp.2019.100153 ◽

2019 ◽

Vol 13 ◽

pp. 100153 ◽

Cited By ~ 6

Author(s):

Soran Kamari ◽

Farshid Ghorbani ◽

Ali Mohammad Sanati

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Rice Husk ◽

Low Cost ◽

Modeling And Optimization ◽

Adsorptive Removal ◽

Amine Functionalized

Download Full-text

Application of response surface methodology for modeling and optimization of malachite green adsorption by modified sphagnum peat moss as a low cost biosorbent

10.5004/dwt.2016.1728 ◽

2016 ◽

Vol 59 ◽

pp. 230-242

Author(s):

Farimah Sarbisheh ◽

Reza Norouzbeigi ◽

Farnaz Hemmati ◽

Hadi Shayesteh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Malachite Green ◽

Low Cost ◽

Peat Moss ◽

Modeling And Optimization ◽

Sphagnum Peat ◽

Sphagnum Peat Moss

Download Full-text

Removal of a Persistent Dye in Aqueous Solutions by Electrocoagulation Process: Modeling and Optimization Through Response Surface Methodology

Water Air & Soil Pollution ◽

10.1007/s11270-018-3813-2 ◽

2018 ◽

Vol 229 (6) ◽

Cited By ~ 9

Author(s):

Alain Stéphane Assémian ◽

Konan Edmond Kouassi ◽

Patrick Drogui ◽

Kopoin Adouby ◽

David Boa

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Process Modeling ◽

Modeling And Optimization ◽

Electrocoagulation Process

Download Full-text

Modeling and optimization of pectin extraction from banana peel using artificial neural networks (ANNs) and response surface methodology (RSM)

Journal of Food Measurement & Characterization ◽

10.1007/s11694-021-00852-7 ◽

2021 ◽

Author(s):

Ermias Girma Aklilu

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Banana Peel ◽

Modeling And Optimization ◽

Artificial Neural

Download Full-text

Modeling and optimization of mixing parameters using response surface methodology and characterization of palm oil clinker fine modified bitumen

Construction and Building Materials ◽

10.1016/j.conbuildmat.2021.123849 ◽

2021 ◽

Vol 298 ◽

pp. 123849

Author(s):

Nura Shehu Aliyu Yaro ◽

Madzlan Bin Napiah ◽

Muslich Hartadi Sutanto ◽

Aliyu Usman ◽

Saeed Modibbo Saeed

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Palm Oil ◽

Modified Bitumen ◽

Modeling And Optimization ◽

Mixing Parameters

Download Full-text

Modeling and optimization of stability aspects for water diesel emulsified fuel using response surface methodology

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2021.1915435 ◽

2021 ◽

pp. 1-24

Author(s):

Deepti Khatri ◽

Rahul Goyal ◽

Akshat Jain ◽

Alan T. Johnson

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Modeling And Optimization ◽

Emulsified Fuel

Download Full-text