Degradation of diazinon from aqueous solutions by electro-Fenton process: effect of operating parameters, intermediate identification, degradation pathway, and optimization using response surface methodology (RSM)

Separation Science and Technology ◽

10.1080/01496395.2020.1821060 ◽

2020 ◽

pp. 1-13

Author(s):

Maryam heidari ◽

Mehdi Vosoughi ◽

Hadi Sadeghi ◽

Abdollah Dargahi ◽

S. Ahmad Mokhtari

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Degradation Pathway ◽

Operating Parameters ◽

Fenton Process

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Optimization of the 3D electro‐Fenton process in removal of acid orange 10 from aqueous solutions by response surface methodology

Journal of Chemical Technology & Biotechnology ◽

10.1002/jctb.6122 ◽

2019 ◽

Vol 94 (10) ◽

pp. 3158-3171 ◽

Cited By ~ 1

Author(s):

Hamed Mohammadi ◽

Abdolazim Alinejad ◽

Mahsa Khajeh ◽

Mohammad Darvishmotevalli ◽

Maryam Moradnia ◽

...

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Fenton Process ◽

Acid Orange ◽

Acid Orange 10

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The efficacy of sono-electro-Fenton process for removal of Cefixime antibiotic from aqueous solutions by response surface methodology (RSM) and evaluation of toxicity of effluent by microorganisms

Arabian Journal of Chemistry ◽

10.1016/j.arabjc.2020.05.012 ◽

2020 ◽

Vol 13 (7) ◽

pp. 6122-6139 ◽

Cited By ~ 3

Author(s):

Kamal Hasani ◽

Afsaneh Peyghami ◽

Amir Moharrami ◽

Mehdi Vosoughi ◽

Abdollah Dargahi

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Fenton Process

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Optimization of Fenton process on removing antibiotic resistance genes from excess sludge by single-factor experiment and response surface methodology

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.147889 ◽

2021 ◽

pp. 147889

Author(s):

Ling Luo ◽

Guolan Wang ◽

Zimu Wang ◽

Jianhua Ma ◽

Yan He ◽

...

Keyword(s):

Response Surface Methodology ◽

Antibiotic Resistance ◽

Response Surface ◽

Resistance Genes ◽

Antibiotic Resistance Genes ◽

Fenton Process ◽

Single Factor ◽

Excess Sludge ◽

Single Factor Experiment

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Optimization of operating parameters and performance evaluation of forced draft cooling tower using response surface methodology (RSM) and artificial neural network (ANN)

Journal of Mechanical Science and Technology ◽

10.1007/s12206-012-0323-9 ◽

2012 ◽

Vol 26 (5) ◽

pp. 1643-1650 ◽

Cited By ~ 14

Author(s):

Ramkumar Ramakrishnan ◽

Ragupathy Arumugam

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Performance Evaluation ◽

Response Surface ◽

Cooling Tower ◽

Operating Parameters ◽

Forced Draft ◽

And Performance ◽

Artificial Neural Network Ann

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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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Studies on the removal of Cobalt(II) from aqueous solutions by adsorption with Ficus benghalensis leaf powder through response surface methodology

Chemical Engineering Communications ◽

10.1080/00986445.2017.1365063 ◽

2017 ◽

Vol 204 (12) ◽

pp. 1401-1411 ◽

Cited By ~ 11

Author(s):

D. Hymavathi ◽

G. Prabhakar

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Ficus Benghalensis ◽

Leaf Powder

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Optimization of Fenton Process for Treatment of Landfill Leachate Using Response Surface Methodology

Asian Journal of Chemistry ◽

10.14233/ajchem.2014.17047 ◽

2014 ◽

Vol 26 (19) ◽

pp. 6630-6634 ◽

Cited By ~ 2

Author(s):

Junren Zhu

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Landfill Leachate ◽

Fenton Process

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