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

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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KW - Mix matrix membrane

KW - SARS-CoV-2

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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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