Modelling of a bioelectrochemical system for metal‐polluted wastewater treatment and sequential metal recovery

BACKGROUND This work develops a simplified mathematical model to predict the performance of a bioelectrochemical system (BES), first working as a microbial fuel cell (MFC) and then as a microbial electrolysis cell (MEC), for the recovery of dissolved metals (Fe, Cu, Sn, and Ni) from simulated indust...

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Veröffentlicht in:Journal of chemical technology and biotechnology (1986) 2021-07, Vol.96 (7), p.2033-2041
Hauptverfasser: León‐Fernandez, Luis Fernando, Rodríguez Romero, Luis, Fernández‐Morales, Francisco Jesús, Villaseñor Camacho, José
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container_end_page 2041
container_issue 7
container_start_page 2033
container_title Journal of chemical technology and biotechnology (1986)
container_volume 96
creator León‐Fernandez, Luis Fernando
Rodríguez Romero, Luis
Fernández‐Morales, Francisco Jesús
Villaseñor Camacho, José
description BACKGROUND This work develops a simplified mathematical model to predict the performance of a bioelectrochemical system (BES), first working as a microbial fuel cell (MFC) and then as a microbial electrolysis cell (MEC), for the recovery of dissolved metals (Fe, Cu, Sn, and Ni) from simulated industrial wastewater. Experimental data from a previous work were used as starting points for mathematical modelling. Wastewater was used as the catholyte and contained Cu2+ and Fe3+ (500 mg L−1) as well as Sn2+ and Ni2+ (50 mg L−1), while the anolyte was composed of sodium acetate. Two mixed microbial populations were considered in the anode compartment (electrogenic and non‐electrogenic biomass). Dissolved metal ions were the electron acceptors in the electrogenic mechanism: Cu2+ and Fe3+ under MFC mode and then Fe2+, Ni2+, and Sn2+ under MEC mode. RESULTS The model predicted the organic substrate and microbial biomass (anode chamber) and Fe3+ and Cu2+ (cathode chamber) concentrations during MFC operation. Monod kinetic and stoichiometric parameters were calibrated, and it was observed that most of the organic substrate underwent a non‐electrogenic mechanism. The generation of electric current until electron acceptors were removed was also predicted. Concentration profiles and first‐rate constant values for the decreased Sn2+, Ni2+, and Fe2+ concentrations during the subsequent MEC operation were also obtained. The model was then used for simulations under different experimental conditions. CONCLUSION This work offers a single grey‐box model proposal that is easy to implement, and it can be used as a practical tool for testing the removal of dissolved metals in BESs. © 2021 Society of Chemical Industry (SCI).
doi_str_mv 10.1002/jctb.6733
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Experimental data from a previous work were used as starting points for mathematical modelling. Wastewater was used as the catholyte and contained Cu2+ and Fe3+ (500 mg L−1) as well as Sn2+ and Ni2+ (50 mg L−1), while the anolyte was composed of sodium acetate. Two mixed microbial populations were considered in the anode compartment (electrogenic and non‐electrogenic biomass). Dissolved metal ions were the electron acceptors in the electrogenic mechanism: Cu2+ and Fe3+ under MFC mode and then Fe2+, Ni2+, and Sn2+ under MEC mode. RESULTS The model predicted the organic substrate and microbial biomass (anode chamber) and Fe3+ and Cu2+ (cathode chamber) concentrations during MFC operation. Monod kinetic and stoichiometric parameters were calibrated, and it was observed that most of the organic substrate underwent a non‐electrogenic mechanism. The generation of electric current until electron acceptors were removed was also predicted. Concentration profiles and first‐rate constant values for the decreased Sn2+, Ni2+, and Fe2+ concentrations during the subsequent MEC operation were also obtained. The model was then used for simulations under different experimental conditions. CONCLUSION This work offers a single grey‐box model proposal that is easy to implement, and it can be used as a practical tool for testing the removal of dissolved metals in BESs. © 2021 Society of Chemical Industry (SCI).</description><identifier>ISSN: 0268-2575</identifier><identifier>EISSN: 1097-4660</identifier><identifier>DOI: 10.1002/jctb.6733</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>Acetic acid ; Anodes ; Anodic dissolution ; Anolytes ; Biochemical fuel cells ; bioelectrochemical system; mathematical modelling; metal‐polluted wastewater; simulation ; Biomass ; Chambers ; Copper ; Dissolution ; Electrolysis ; Ferric ions ; Ferrous ions ; Fuel technology ; Industrial wastes ; Industrial wastewater ; Iron ; Materials recovery ; Mathematical models ; Metal industry wastewaters ; Metal ions ; Metals ; Microorganisms ; Nickel ; Sodium acetate ; Substrates ; Wastewater pollution ; Wastewater treatment</subject><ispartof>Journal of chemical technology and biotechnology (1986), 2021-07, Vol.96 (7), p.2033-2041</ispartof><rights>2021 Society of Chemical Industry (SCI).</rights><rights>Copyright © 2021 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3693-b3a4ce2b1e86dadfa0423b94db1d4dac0d3fa9d4d86f48248e54eebd2c3496553</citedby><cites>FETCH-LOGICAL-c3693-b3a4ce2b1e86dadfa0423b94db1d4dac0d3fa9d4d86f48248e54eebd2c3496553</cites><orcidid>0000-0003-0389-6247 ; 0000-0001-5865-0610</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjctb.6733$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjctb.6733$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>León‐Fernandez, Luis Fernando</creatorcontrib><creatorcontrib>Rodríguez Romero, Luis</creatorcontrib><creatorcontrib>Fernández‐Morales, Francisco Jesús</creatorcontrib><creatorcontrib>Villaseñor Camacho, José</creatorcontrib><title>Modelling of a bioelectrochemical system for metal‐polluted wastewater treatment and sequential metal recovery</title><title>Journal of chemical technology and biotechnology (1986)</title><description>BACKGROUND This work develops a simplified mathematical model to predict the performance of a bioelectrochemical system (BES), first working as a microbial fuel cell (MFC) and then as a microbial electrolysis cell (MEC), for the recovery of dissolved metals (Fe, Cu, Sn, and Ni) from simulated industrial wastewater. Experimental data from a previous work were used as starting points for mathematical modelling. Wastewater was used as the catholyte and contained Cu2+ and Fe3+ (500 mg L−1) as well as Sn2+ and Ni2+ (50 mg L−1), while the anolyte was composed of sodium acetate. Two mixed microbial populations were considered in the anode compartment (electrogenic and non‐electrogenic biomass). Dissolved metal ions were the electron acceptors in the electrogenic mechanism: Cu2+ and Fe3+ under MFC mode and then Fe2+, Ni2+, and Sn2+ under MEC mode. RESULTS The model predicted the organic substrate and microbial biomass (anode chamber) and Fe3+ and Cu2+ (cathode chamber) concentrations during MFC operation. Monod kinetic and stoichiometric parameters were calibrated, and it was observed that most of the organic substrate underwent a non‐electrogenic mechanism. The generation of electric current until electron acceptors were removed was also predicted. Concentration profiles and first‐rate constant values for the decreased Sn2+, Ni2+, and Fe2+ concentrations during the subsequent MEC operation were also obtained. The model was then used for simulations under different experimental conditions. 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mathematical modelling; metal‐polluted wastewater; simulation</topic><topic>Biomass</topic><topic>Chambers</topic><topic>Copper</topic><topic>Dissolution</topic><topic>Electrolysis</topic><topic>Ferric ions</topic><topic>Ferrous ions</topic><topic>Fuel technology</topic><topic>Industrial wastes</topic><topic>Industrial wastewater</topic><topic>Iron</topic><topic>Materials recovery</topic><topic>Mathematical models</topic><topic>Metal industry wastewaters</topic><topic>Metal ions</topic><topic>Metals</topic><topic>Microorganisms</topic><topic>Nickel</topic><topic>Sodium acetate</topic><topic>Substrates</topic><topic>Wastewater pollution</topic><topic>Wastewater treatment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>León‐Fernandez, Luis Fernando</creatorcontrib><creatorcontrib>Rodríguez Romero, Luis</creatorcontrib><creatorcontrib>Fernández‐Morales, Francisco Jesús</creatorcontrib><creatorcontrib>Villaseñor Camacho, José</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; 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Experimental data from a previous work were used as starting points for mathematical modelling. Wastewater was used as the catholyte and contained Cu2+ and Fe3+ (500 mg L−1) as well as Sn2+ and Ni2+ (50 mg L−1), while the anolyte was composed of sodium acetate. Two mixed microbial populations were considered in the anode compartment (electrogenic and non‐electrogenic biomass). Dissolved metal ions were the electron acceptors in the electrogenic mechanism: Cu2+ and Fe3+ under MFC mode and then Fe2+, Ni2+, and Sn2+ under MEC mode. RESULTS The model predicted the organic substrate and microbial biomass (anode chamber) and Fe3+ and Cu2+ (cathode chamber) concentrations during MFC operation. Monod kinetic and stoichiometric parameters were calibrated, and it was observed that most of the organic substrate underwent a non‐electrogenic mechanism. The generation of electric current until electron acceptors were removed was also predicted. Concentration profiles and first‐rate constant values for the decreased Sn2+, Ni2+, and Fe2+ concentrations during the subsequent MEC operation were also obtained. The model was then used for simulations under different experimental conditions. CONCLUSION This work offers a single grey‐box model proposal that is easy to implement, and it can be used as a practical tool for testing the removal of dissolved metals in BESs. © 2021 Society of Chemical Industry (SCI).</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/jctb.6733</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-0389-6247</orcidid><orcidid>https://orcid.org/0000-0001-5865-0610</orcidid><oa>free_for_read</oa></addata></record>
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subjects Acetic acid
Anodes
Anodic dissolution
Anolytes
Biochemical fuel cells
bioelectrochemical system
mathematical modelling
metal‐polluted wastewater
simulation
Biomass
Chambers
Copper
Dissolution
Electrolysis
Ferric ions
Ferrous ions
Fuel technology
Industrial wastes
Industrial wastewater
Iron
Materials recovery
Mathematical models
Metal industry wastewaters
Metal ions
Metals
Microorganisms
Nickel
Sodium acetate
Substrates
Wastewater pollution
Wastewater treatment
title Modelling of a bioelectrochemical system for metal‐polluted wastewater treatment and sequential metal recovery
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