SARS-CoV-2 removal by mix matrix membrane: A novel application of artificial neural network based simulation in MATLAB for evaluating wastewater reuse risks

Sasan Zahmatkesh; Yousof Rezakhani; Abdoulmohammad Gholamzadeh Chofreh; Melika Karimian; Chongqing Wang; Iman Ghodrati; Mudassir Hasan; Mika Sillanpaa; Hitesh Panchal; Ramsha Khan

doi:10.1016/j.chemosphere.2022.136837

SARS-CoV-2 removal by mix matrix membrane: A novel application of artificial neural network based simulation in MATLAB for evaluating wastewater reuse risks

Sasan Zahmatkesh^*
, Yousof Rezakhani
, Abdoulmohammad Gholamzadeh Chofreh
, Melika Karimian
, Chongqing Wang
, Iman Ghodrati
, Mudassir Hasan
, Mika Sillanpaa
, Hitesh Panchal
, Ramsha Khan

^*Corresponding author for this work

University of Science and Technology of Mazandaran
Instituto Tecnologico de Estudios Superiores de Monterrey
Islamic Azad University
Sustainable Process Integration Laboratory
Brno University of Technology
University of Eyvanekey
Zhengzhou University
King Khalid University
Universiti Kebangsaan Malaysia
Shoolini University of Biotechnology and Management Sciences
University of Johannesburg
Government Engineering College
Shri Ramswaroop Memorial University

Research output: Contribution to journal › Article › peer-review

21 Citations (SciVal)

Original language	English
Article number	136837
Journal	Chemosphere
Volume	310
DOIs	https://doi.org/10.1016/j.chemosphere.2022.136837
Publication status	Published (VoR) - Jan 2023

Funding

Throughout this study, Sustainable Process Integration Laboratory - SPIL has been supported by the EU European Structural and Investment Funds as project No. CZ.02.1.01/0.0/0.0/15_003/0000456, as well as the Czech Ministry of Education, Youth and Sports Operational Programme Research, Development and Education funded by the European Structural and Investment Funds , and This work was supported by the Deanship of Scientific Research at King Khalid University , Abha-KSA, for funding this research through General Research Project under grant number ( R.G.P. 2/189/43 ).

Funders	Funder number
Czech Ministry of Education, Youth and Sports Operational Programme Research, Development and Education
Sustainable Process Integration Laboratory – SPIL
European Commission	CZ.02.1.01/0.0/0.0/15_003/0000456
Deanship of Scientific Research, King Faisal University	R.G.P. 2/189/43

Keywords

Artificial neural network
Mix matrix membrane
SARS-CoV-2
Wastewater treatment

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10.1016/j.chemosphere.2022.136837

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Zahmatkesh, S., Rezakhani, Y., Chofreh, A. G., Karimian, M., Wang, C., Ghodrati, I., Hasan, M., Sillanpaa, M., Panchal, H., & Khan, R. (2023). SARS-CoV-2 removal by mix matrix membrane: A novel application of artificial neural network based simulation in MATLAB for evaluating wastewater reuse risks. Chemosphere, 310, Article 136837. https://doi.org/10.1016/j.chemosphere.2022.136837

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author = "Sasan Zahmatkesh and Yousof Rezakhani and Chofreh, \{Abdoulmohammad Gholamzadeh\} and Melika Karimian and Chongqing Wang and Iman Ghodrati and Mudassir Hasan and Mika Sillanpaa and Hitesh Panchal and Ramsha Khan",

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AU - Zahmatkesh, Sasan

AU - Rezakhani, Yousof

AU - Chofreh, Abdoulmohammad Gholamzadeh

AU - Karimian, Melika

AU - Wang, Chongqing

AU - Ghodrati, Iman

AU - Hasan, Mudassir

AU - Sillanpaa, Mika

AU - Panchal, Hitesh

AU - Khan, Ramsha

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SARS-CoV-2 removal by mix matrix membrane: A novel application of artificial neural network based simulation in MATLAB for evaluating wastewater reuse risks

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Keywords

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