Modeling and Optimization of Adsorption Removal of Reactive Orange 13 on the Alginate-Montmorillonite-Polyaniline Nanocomposite via Response Surface Methodology

Zahra Ayazi; Zahra Monsef Khoshhesab; Fahimeh Farshi Azhar; Zahra Mohajeri

doi:10.1002/jccs.201600876

Modeling and Optimization of Adsorption Removal of Reactive Orange 13 on the Alginate-Montmorillonite-Polyaniline Nanocomposite via Response Surface Methodology

Journal of the Chinese Chemical Society ◽

10.1002/jccs.201600876 ◽

2017 ◽

Vol 64 (6) ◽

pp. 627-639 ◽

Cited By ~ 11

Author(s):

Zahra Ayazi ◽

Zahra Monsef Khoshhesab ◽

Fahimeh Farshi Azhar ◽

Zahra Mohajeri

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Modeling And Optimization ◽

Adsorption Removal ◽

Reactive Orange ◽

Polyaniline Nanocomposite

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Modeling and optimization of decolorization of C.I. Reactive Orange 16 via SO4.- radicals by response surface methodology

10.5004/dwt.2018.21856 ◽

2018 ◽

Vol 104 ◽

pp. 315-323 ◽

Cited By ~ 1

Author(s):

Ozlem Esen Kartal

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Modeling And Optimization ◽

Reactive Orange 16 ◽

Reactive Orange

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Modeling and optimization removal of reactive Orange 16 dye using MgO/g-C3N4/zeolite Nanocomposite in coupling with LED and ultrasound by response surface methodology

Diamond and Related Materials ◽

10.1016/j.diamond.2021.108346 ◽

2021 ◽

pp. 108346

Author(s):

Elham Fathi ◽

Parvin Gharbani

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Modeling And Optimization ◽

Reactive Orange 16 ◽

Reactive Orange

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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

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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

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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

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Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: Modeling and optimization

Journal of Contaminant Hydrology ◽

10.1016/j.jconhyd.2017.06.005 ◽

2017 ◽

Vol 203 ◽

pp. 85-92 ◽

Cited By ~ 12

Author(s):

Amir Mohammadi ◽

Sepideh Nemati ◽

Mohammad Mosaferi ◽

Ali Abdollahnejhad ◽

Mohammad Almasian ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Carboxymethyl Cellulose ◽

Iron Nanoparticles ◽

Modeling And Optimization ◽

Rsm Model

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Modeling and Optimization of Nanofluid Flow in Flat Tubes Using a Combination of CFD and Response Surface Methodology

Heat Transfer-Asian Research ◽

10.1002/htj.21126 ◽

2014 ◽

Vol 44 (4) ◽

pp. 377-395 ◽

Cited By ~ 3

Author(s):

H. Safikhani ◽

A. Abbassi ◽

A. Khalkhali ◽

M. Kalteh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Nanofluid Flow ◽

Modeling And Optimization ◽

Flat Tubes

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Determining Optimum Material Mixture Ratio and Hot-pressing Parameters for New Hybrid Fiber-reinforced Composites: Modeling and Optimization by Response Surface Methodology

BioResources ◽

10.15376/biores.13.2.4202-4223 ◽

2018 ◽

Vol 13 (2) ◽

Author(s):

Wei Song ◽

Minghao Zhu ◽

Wei Lin ◽

Shuangbao Zhang

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Hot Pressing ◽

Fiber Reinforced Composites ◽

Reinforced Composites ◽

Fiber Reinforced ◽

Hybrid Fiber ◽

Mixture Ratio ◽

Modeling And Optimization ◽

Optimum Material

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Modeling and optimization of ultrasonic devulcanization using the response surface methodology based on central composite face-centered design

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2015.03.003 ◽

2015 ◽

Vol 144 ◽

pp. 1-10 ◽

Cited By ~ 35

Author(s):

Ivan Mangili ◽

Marina Lasagni ◽

Keyuan Huang ◽

Avraam I. Isayev

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Modeling And Optimization ◽

Face Centered ◽

Composite Face ◽

Central Composite

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Modeling and Optimization of Transesterification of Beniseed Oil to Beniseed Methylester: A Case of Artificial Neural Network versus Response Surface Methodology

International Journal of Chemical and Process Engineering Research ◽

10.18488/journal.65/2015.2.3/65.3.30.43 ◽

2015 ◽

Vol 2 (3) ◽

pp. 30-43 ◽

Cited By ~ 1

Author(s):

Adepoju T F ◽

Okunola A A

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Modeling And Optimization ◽

Artificial Neural

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