Synthesis of magMCM-41 with rice husk silica as cadmium sorbent from aqueous solutions: parameters’ optimization by response surface methodology

Soran Kamari; Farshid Ghorbani

doi:10.1080/09593330.2016.1237557

Synthesis of magMCM-41 with rice husk silica as cadmium sorbent from aqueous solutions: parameters’ optimization by response surface methodology

Environmental Technology ◽

10.1080/09593330.2016.1237557 ◽

2016 ◽

Vol 38 (12) ◽

pp. 1562-1579 ◽

Cited By ~ 12

Author(s):

Soran Kamari ◽

Farshid Ghorbani

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Rice Husk ◽

Parameters Optimization ◽

Rice Husk Silica

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Removal of Cu (II) ion from aqueous solutions by Rice Husk Carbon-Chitosan Composite gel (CCRH) using response surface methodology

Environmental Nanotechnology Monitoring & Management ◽

10.1016/j.enmm.2018.07.003 ◽

2018 ◽

Vol 10 ◽

pp. 189-198 ◽

Cited By ~ 1

Author(s):

Manish Masih ◽

Prashant Anthony ◽

Shaziya H. Siddiqui

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Rice Husk ◽

Composite Gel ◽

Rice Husk Carbon ◽

Chitosan Composite

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Process optimization using response surface methodology for the removal of thorium from aqueous solutions using rice-husk

Chemosphere ◽

10.1016/j.chemosphere.2019.124488 ◽

2019 ◽

Vol 237 ◽

pp. 124488 ◽

Cited By ~ 3

Author(s):

Sayanasri Varala ◽

Vivek Ravisankar ◽

Maha Al-Ali ◽

Mark I. Pownceby ◽

Rajarathinam Parthasarathy ◽

...

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Process Optimization ◽

Rice Husk

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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

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Highly Efficient Removal of Lead Ions from Aqueous Solutions Using Chitosan/Rice Husk Ash/Nano Alumina with a Focus on Optimization by Response Surface Methodology: Isotherm, Kinetic, and Thermodynamic Studies

Journal of Polymers and the Environment ◽

10.1007/s10924-019-01385-3 ◽

2019 ◽

Vol 27 (5) ◽

pp. 1025-1042 ◽

Cited By ~ 9

Author(s):

Shiva Fooladgar ◽

Abbas Teimouri ◽

Shima Ghanavati Nasab

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Rice Husk ◽

Rice Husk Ash ◽

Lead Ions ◽

Efficient Removal ◽

Thermodynamic Studies ◽

Nano Alumina ◽

Kinetic And Thermodynamic Studies

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Mathematical Modeling and Process Parameters Optimization for Surface Roughness in Edm for En31 Material by Response Surface Methodology

Indian Journal Of Applied Research ◽

10.15373/2249555x/oct2013/50 ◽

2011 ◽

Vol 3 (10) ◽

pp. 1-3

Author(s):

P.B.Wagh P.B.Wagh ◽

◽

Dr. R.R.Deshmukh Dr. R.R.Deshmukh ◽

R.D.Gurav R.D.Gurav

Keyword(s):

Mathematical Modeling ◽

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Process Parameters ◽

Parameters Optimization ◽

Process Parameters Optimization

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Removal of anionic surfactant sodium dodecyl sulfate from aqueous solutions by O 3 /UV/H 2 O 2 advanced oxidation process: Process optimization with response surface methodology approach

Sustainable Environment Research ◽

10.1016/j.serj.2017.11.002 ◽

2018 ◽

Vol 28 (2) ◽

pp. 65-71 ◽

Cited By ~ 20

Author(s):

Ayla Arslan ◽

Eylem Topkaya ◽

Deniz Bingöl ◽

Sevil Veli

Keyword(s):

Response Surface Methodology ◽

Sodium Dodecyl Sulfate ◽

Aqueous Solutions ◽

Response Surface ◽

Process Optimization ◽

Anionic Surfactant ◽

Advanced Oxidation Process ◽

Oxidation Process ◽

Sodium Dodecyl ◽

Advanced Oxidation

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Application of the Response Surface Methodology in the Removal of Cu2+ and Pb2+ from Aqueous Solutions Using Orange Peels

Scientific African ◽

10.1016/j.sciaf.2021.e00931 ◽

2021 ◽

pp. e00931

Author(s):

Felicia Omolara Afolabi ◽

Paul Musonge ◽

Babatunde Femi Bakare

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Orange Peels

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Artificial neural network and response surface methodology modeling for diclofenac removal by quaternized mesoporous silica SBA-15 in aqueous solutions

Microporous and Mesoporous Materials ◽

10.1016/j.micromeso.2021.111497 ◽

2021 ◽

pp. 111497

Author(s):

Jin-Kyu Kang ◽

Yoon-Gu Kim ◽

Seung-Chan Lee ◽

Ho-Young Jang ◽

Suk-Hyun Yoo ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Mesoporous Silica ◽

Aqueous Solutions ◽

Response Surface ◽

Artificial Neural

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Batch removal of chromium (VI) from aqueous solutions using wheat shell as adsorbent: process optimization using response surface methodology

Desalination and Water Treatment ◽

10.1080/19443994.2012.669164 ◽

2012 ◽

Vol 39 (1-3) ◽

pp. 95-102 ◽

Cited By ~ 25

Author(s):

Papita Das Saha ◽

Apurba Dey ◽

Pritam Marik

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Process Optimization ◽

Chromium Vi

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A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM

BMC Biotechnology ◽

10.1186/1472-6750-8-96 ◽

2008 ◽

Vol 8 (1) ◽

pp. 96 ◽

Cited By ~ 66

Author(s):

Afshin Ebrahimpour ◽

Raja Rahman ◽

Diana Ean Ch'ng ◽

Mahiran Basri ◽

Abu Salleh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Lipase Production ◽

Parameters Optimization ◽

Thermostable Lipase ◽

Artificial Neural ◽

Culture Parameters ◽

Modeling Study

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