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Im S, Jung B, Wang X, Wu J, Xiao M, Chen X, Quezada-Renteria JA, Iddya A, Dlamini D, Lu S, Maravelias CT, Ren ZJ, Hoek EMV, Jassby D. High-Efficiency Recovery of Acetic Acid from Water Using Electroactive Gas-Stripping Membranes. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023. [PMID: 37368842 DOI: 10.1021/acs.est.3c01357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
Recovery of carbon-based resources from waste is a critical need for achieving carbon neutrality and reducing fossil carbon extraction. We demonstrate a new approach for extracting volatile fatty acids (VFAs) using a multifunctional direct heated and pH swing membrane contactor. The membrane is a multilayer laminate composed of a carbon fiber (CF) bound to a hydrophobic membrane and sealed with a layer of polydimethylsiloxane (PDMS); this CF is used as a resistive heater to provide a thermal driving force for PDMS that, while a highly hydrophobic material, is known for its ability to rapidly pass gases, including water vapor. The transport mechanism for gas transport involves the diffusion of molecules through the free volume of the polymer matrix. CF coated with polyaniline (PANI) is used as an anode to induce an acidic pH swing at the interface between the membrane and water, which can protonate the VFA molecule. The innovative multilayer membrane used in this study has successfully demonstrated a highly efficient recovery of VFAs by simultaneously combining pH swing and joule heating. This novel technique has revealed a new concept in the field of VFA recovery, offering promising prospects for further advancements in this area. The energy consumption was 3.37 kWh/kg for acetic acid (AA), and an excellent separation factor of AA/water of 51.55 ± 2.11 was obtained with high AA fluxes of 51.00 ± 0.82 g.m-2hr-1. The interfacial electrochemical reactions enable the extraction of VFAs without the need for bulk temperature and pH modification.
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Affiliation(s)
- Sungju Im
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Bongyeon Jung
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Xinyi Wang
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Jishan Wu
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Minhao Xiao
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Xin Chen
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Javier A Quezada-Renteria
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Arpita Iddya
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Derrick Dlamini
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
| | - Sidan Lu
- Andlinger Center for Energy and Environment, Princeton University 86 Olden St, Princeton, New Jersey 08540, United States
- Department of Chemical and Biological Engineering, Princeton University 50-70 Olden St, Princeton, New Jersey 08540, United States
- Department of Civil and Environmental Engineering and The Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08544, United States
| | - Christos T Maravelias
- Andlinger Center for Energy and Environment, Princeton University 86 Olden St, Princeton, New Jersey 08540, United States
- Department of Chemical and Biological Engineering, Princeton University 50-70 Olden St, Princeton, New Jersey 08540, United States
- Department of Civil and Environmental Engineering and The Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08544, United States
| | - Zhiyong Jason Ren
- Andlinger Center for Energy and Environment, Princeton University 86 Olden St, Princeton, New Jersey 08540, United States
- Department of Chemical and Biological Engineering, Princeton University 50-70 Olden St, Princeton, New Jersey 08540, United States
- Department of Civil and Environmental Engineering and The Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08544, United States
| | - Eric M V Hoek
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
- UCLA California NanoSystems Institute, Los Angeles, California 90095, United States
- UCLA Institute of the Environment & Sustainability, Los Angeles, California 90095, United States
- Lawrence Berkeley National Lab, Energy Systems & Distributed Resources Division, Berkeley, California 94720, United States
| | - David Jassby
- Department of Civil & Environmental Engineering, University of California, Los Angeles (UCLA), Los Angeles, California 90095, United States
- UCLA California NanoSystems Institute, Los Angeles, California 90095, United States
- UCLA Institute of the Environment & Sustainability, Los Angeles, California 90095, United States
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Abdelbasset WK, Elkholi SM, Ahmed Ismail K, A.A.M. Alalwani T, Hachem K, Mohamed A, Agustiono Kurniawan T, Andreevna Rushchitc A. Modeling and computational study on prediction of pharmaceutical solubility in supercritical CO2 for manufacture of nanomedicine for enhanced bioavailability. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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3
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Hu X, Alsaikhan F, Sh. Majdi H, Olegovich Bokov D, Mohamed A, Sadeghi A. Predictive modeling and computational machine learning simulation of adsorption separation using advanced nanocomposite materials. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2022.104062] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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4
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Optimization and design of machine learning computational technique for prediction of physical separation process. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103680] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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5
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Zhu X, Wang X, Liu K, Zhou S, Alqsair UF, El-Shafay A. Machine learning simulation of Cr (VI) separation from aqueous solutions via a hierarchical nanostructure material. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118565] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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6
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Zhao Z, Liu P, Li Y, Zhang S, Guo L, Ghazali S, El-Shafay A. Multi support vector models to estimate solubility of Busulfan drug in supercritical carbon dioxide. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118573] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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7
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Yin G, Jameel Ibrahim Alazzawi F, Mironov S, Reegu F, El-Shafay A, Lutfor Rahman M, Su CH, Lu YZ, Chinh Nguyen H. Machine learning method for simulation of adsorption separation: Comparisons of model’s performance in predicting equilibrium concentrations. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103612] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
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8
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Implementation of AdaBoost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118527] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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9
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Syah R, Piri F, Elveny M, Khan A. Artificial Intelligence simulation of water treatment using nanostructure composite ordered materials. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2021.117046] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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10
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Wei Y, Yu J, Du Y, Li H, Su CH. Artificial intelligence simulation of Pb(II) and Cd(II) adsorption using a novel metal organic framework-based nanocomposite adsorbent. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117681] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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11
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Ding Y, Jin Y, Yao B, Khan A. Artificial intelligence based simulation of Cd(II) adsorption separation from aqueous media using a nanocomposite structure. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117772] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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12
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Computational simulation and modelling of uranium extraction using tributylphosphate through membrane extractor. Sci Rep 2021; 11:17818. [PMID: 34497304 PMCID: PMC8426365 DOI: 10.1038/s41598-021-97379-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 08/24/2021] [Indexed: 11/24/2022] Open
Abstract
Non-disperse solvent extraction is an effective technique for the extraction of metal ions from aqueous solution. In this study, uranium extraction using n-dodecane solvent containing tributylphosphate extractant in a membrane contactor was investigated. A 2D mathematical model was developed for the fluid flow and mass transfer in the hollow fibre membrane extractor. The equations of the created model were solved using the finite element method. The uranium concentration distribution in the extractor at different extractant concentrations as well as feed acidity was studied. The results showed that there is reasonable good agreement between experimental uranium extraction and modelling outputs at different extractant concentrations. Increasing extractant concentration from 5 to 30% led to the enhancement of uranium extraction from 2.60 to 34.13%. Also, there was an increase in the uranium extraction with increasing feed acidity in the range of 1–3 M. Furthermore, based on the radial uranium concentration distribution, it was found that the main mass transfer resistance in the system was microporous membrane section. Finally, it was obtained that the uranium extraction efficiency could be improved significantly by increasing porosity-to-tortuosity ratio. It was concluded that the membrane specification plays the most important role as the dominant mass transfer resistant was in the membrane subdomain.
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Extraction of ingredients from tea leaves using oxidative enzymatic reaction and optimization of extraction conditions. Sci Rep 2021; 11:4094. [PMID: 33602953 PMCID: PMC7892889 DOI: 10.1038/s41598-021-83232-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 02/01/2021] [Indexed: 11/27/2022] Open
Abstract
Peroxidase (POD) and polyphenol oxidase (PPO) are used as biocatalyst in many processes such as oxidization reactions, wastewater treatment, phenol synthesis and so on. The purpose of current study is enzymes extraction from biomass (tea leaves) as well as evaluation of their activation. Different parameters including temperature, buffer concentration, buffer type, buffer/tea leaves ratio, addition of high molecular weight polymers and emulsifiers, and pH were optimized in order to obtain the highest enzymes activity. Response Surface Methodology (RSM) procedure is employed for statistical analysis of enzymes extraction. It is understood from the result that PPO and POD possess the highest activity at temperatures of 25 °C and 50 °C, pH 7 and 5, buffer molarity of 0.1, and 0.05, buffer/tea leaves ratio = 5 for both, contact time = 20 min and 10 min, and presence of 6% and 3% PVP, 5% and 0% Tween 80 for PPO and POD, respectively. Amounts of highest activity for PPO and POD biocatalysts were calculated 0.42 U/mL and 0.025493 U/mL, respectively. Moreover, the entire inactivation of PPO took place after 30 min at 40 °C and 60 °C and 20 min at 80 °C. However, POD lost 35% of its activity after 30 min at 40 °C and 60 °C. The amount of 6% POD activity was kept after 45 min at 80 °C. Generally, it was indicated that POD was more resistant to thermal treatment than PPO.
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15
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Ghadiri M, Hemmati A, Nakhjiri AT, Shirazian S. Modelling tyramine extraction from wastewater using a non-dispersive solvent extraction process. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:39068-39076. [PMID: 32642900 DOI: 10.1007/s11356-020-09943-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 06/29/2020] [Indexed: 06/11/2023]
Abstract
Wastewater effluent from alkaloid processing plants has the potential adverse environmental influences. Mathematical modelling and simulations were carried out using computational fluid dynamics of mass and momentum transfer in a hollow fibre membrane extractor. Conservation equations were derived for tyramine extraction in the membrane extractor and solved based on the finite element method. Model findings based on the computational fluid dynamics validated well with the experimental data. The results showed that increase in organic-phase flow rate, as well as the fibre length and its porosity, has a positive impact on the performance of the extractor, whereas the enhancement of aqueous-phase flow rate led to the reduction of tyramine extraction.
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Affiliation(s)
- Mahdi Ghadiri
- Informetrics Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
- Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
| | - Alireza Hemmati
- School of Chemical Petroleum and Gas Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Ali Taghvaie Nakhjiri
- Department of Petroleum and Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Saeed Shirazian
- Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam.
- The Faculty of Environmental and Chemical Engineering, Duy Tan University, Da Nang, 550000, Vietnam.
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16
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Computational investigation on the effect of [Bmim][BF4] ionic liquid addition to MEA alkanolamine absorbent for enhancing CO2 mass transfer inside membranes. J Mol Liq 2020. [DOI: 10.1016/j.molliq.2020.113635] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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17
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Babin A, Bougie F, Rodrigue D, Iliuta MC. A closer look on the development and commercialization of membrane contactors for mass transfer and separation processes. Sep Purif Technol 2019. [DOI: 10.1016/j.seppur.2019.115679] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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18
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Babanezhad M, Rezakazemi M, Hajilary N, Shirazian S. Liquid‐phase chemical reactors: Development of 3D hybrid model based on CFD‐adaptive network‐based fuzzy inference system. CAN J CHEM ENG 2018. [DOI: 10.1002/cjce.23378] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Meisam Babanezhad
- Department of EnergyFaculty of Mechanical EngineeringSouth Tehran BranchIslamic Azad UniversityTehranIran
| | - Mashallah Rezakazemi
- Faculty of Chemical and Materials EngineeringShahrood University of TechnologyShahroodIran
| | | | - Saeed Shirazian
- Department for Management of Science and Technology DevelopmentTon Duc Thang UniversityHo Chi Minh CityVietnam
- Faculty of Applied SciencesTon Duc Thang UniversityHo Chi Minh CityVietnam
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19
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Predictive construction of phase diagram of ternary solutions containing polymer/solvent/nonsolvent using modified Flory-Huggins model. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2018.05.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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20
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21
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Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification. MACROMOL THEOR SIMUL 2018. [DOI: 10.1002/mats.201700084] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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22
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Pelalak R, Heidari Z, Soltani H, Shirazian S. Mathematical Model for Numerical Simulation of Organic Compound Recovery Using Membrane Separation. Chem Eng Technol 2017. [DOI: 10.1002/ceat.201700445] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Rasool Pelalak
- Young Researchers and Elite Club; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Zahra Heidari
- Young Researchers and Elite Club; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Hadi Soltani
- Department of Chemical Engineering; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Saeed Shirazian
- Department of Chemical Sciences; Bernal Institute; University of Limerick; Limerick Ireland
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23
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Razavi SMR, Shirazian S, Nazemian M. Numerical simulation of CO2 separation from gas mixtures in membrane modules: Effect of chemical absorbent. ARAB J CHEM 2016. [DOI: 10.1016/j.arabjc.2015.06.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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24
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Mohammadi M, Shirazian S, Asadollahzadeh M, Jamshidy L, Hemmati A. Separation of greenhouse gases from gas mixtures using nanoporous polymeric membranes. POLYM ENG SCI 2014. [DOI: 10.1002/pen.23953] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Mehrnoush Mohammadi
- Department of Chemical Engineering; Faculty of Engineering, South Tehran Branch, Islamic Azad University; Tehran, P.O. Box 19585-466 Iran
| | - Saeed Shirazian
- Department of Chemical Engineering; Faculty of Engineering, South Tehran Branch, Islamic Azad University; Tehran, P.O. Box 19585-466 Iran
| | - Mehdi Asadollahzadeh
- Department of Petroleum Engineering; Faculty of Engineering, South Tehran Branch, Islamic Azad University; Tehran Iran
| | - Ladan Jamshidy
- Department of Prosthodontics; School of Dentistry, Kermanshah University of Medical Science; Kermanshah Iran
| | - Alireza Hemmati
- Department of Chemical Engineering; Faculty of Engineering, South Tehran Branch, Islamic Azad University; Tehran, P.O. Box 19585-466 Iran
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25
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Ghadiri M, Ashrafizadeh SN. Mass Transfer in Molybdenum Extraction from Aqueous Solutions Using Nanoporous Membranes. Chem Eng Technol 2014. [DOI: 10.1002/ceat.201300117] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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26
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Ranjbar M, Shirazian S, Ghafarnejad Parto S, Ahmadi M. Computational Fluid Dynamics Simulation of Mass Transfer in the Separation of Fermentation Products Using Nanoporous Membranes. Chem Eng Technol 2013. [DOI: 10.1002/ceat.201300008] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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27
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Moradi S, Rajabi Z, Mohammadi M, Salimi M, Homami S, Seydei M, Shirazian S. 3 dimensional hydrodynamic analysis of concentric draft tube airlift reactors with different tube diameters. ACTA ACUST UNITED AC 2013. [DOI: 10.1016/j.mcm.2012.10.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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28
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Ghadiri M, Ghasemi Darehnaei M, Sabbaghian S, Shirazian S. Computational Simulation for Transport of Priority Organic Pollutants through Nanoporous Membranes. Chem Eng Technol 2013. [DOI: 10.1002/ceat.201200513] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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