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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container_title | Journal of chemical technology and biotechnology (1986) |
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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 |
format | Article |
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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).</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 & 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.
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><subject>Acetic acid</subject><subject>Anodes</subject><subject>Anodic dissolution</subject><subject>Anolytes</subject><subject>Biochemical fuel cells</subject><subject>bioelectrochemical system; mathematical modelling; metal‐polluted wastewater; simulation</subject><subject>Biomass</subject><subject>Chambers</subject><subject>Copper</subject><subject>Dissolution</subject><subject>Electrolysis</subject><subject>Ferric ions</subject><subject>Ferrous ions</subject><subject>Fuel technology</subject><subject>Industrial wastes</subject><subject>Industrial wastewater</subject><subject>Iron</subject><subject>Materials recovery</subject><subject>Mathematical models</subject><subject>Metal industry wastewaters</subject><subject>Metal ions</subject><subject>Metals</subject><subject>Microorganisms</subject><subject>Nickel</subject><subject>Sodium acetate</subject><subject>Substrates</subject><subject>Wastewater pollution</subject><subject>Wastewater treatment</subject><issn>0268-2575</issn><issn>1097-4660</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kE1OwzAQhS0EEqWw4AaWWLFI69iOkyyh4lcgNmVtOfYEUjlxsF2q7DgCZ-QkpC1bVvOk-d7M00PoPCWzlBA6X-lYzUTO2AGapKTMEy4EOUQTQkWR0CzPjtFJCCtCiCiomKD-2RmwtunesKuxwlXjwIKO3ul3aButLA5DiNDi2nncQlT25-u7d9auIxi8UeNuoyJ4HD2o2EIXseoMDvCxHnUz-ncm7EG7T_DDKTqqlQ1w9jen6PX2Zrm4T55e7h4WV0-JZqJkScUU10CrFAphlKkV4ZRVJTdVarhRmhhWq3KUhah5QXkBGQeoDNWMlyLL2BRd7O_23o1RQpQrt_bd-FLSjImMlXmRjtTlntLeheChlr1vWuUHmRK5LVRuC5XbQkd2vmc3jYXhf1A-LpbXO8cv6HB8YQ</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>León‐Fernandez, Luis Fernando</creator><creator>Rodríguez Romero, Luis</creator><creator>Fernández‐Morales, Francisco Jesús</creator><creator>Villaseñor Camacho, José</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0003-0389-6247</orcidid><orcidid>https://orcid.org/0000-0001-5865-0610</orcidid></search><sort><creationdate>202107</creationdate><title>Modelling of a bioelectrochemical system for metal‐polluted wastewater treatment and sequential metal recovery</title><author>León‐Fernandez, Luis Fernando ; Rodríguez Romero, Luis ; Fernández‐Morales, Francisco Jesús ; Villaseñor Camacho, José</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3693-b3a4ce2b1e86dadfa0423b94db1d4dac0d3fa9d4d86f48248e54eebd2c3496553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acetic acid</topic><topic>Anodes</topic><topic>Anodic dissolution</topic><topic>Anolytes</topic><topic>Biochemical fuel cells</topic><topic>bioelectrochemical system; 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 & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Journal of chemical technology and biotechnology (1986)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>León‐Fernandez, Luis Fernando</au><au>Rodríguez Romero, Luis</au><au>Fernández‐Morales, Francisco Jesús</au><au>Villaseñor Camacho, José</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling of a bioelectrochemical system for metal‐polluted wastewater treatment and sequential metal recovery</atitle><jtitle>Journal of chemical technology and biotechnology (1986)</jtitle><date>2021-07</date><risdate>2021</risdate><volume>96</volume><issue>7</issue><spage>2033</spage><epage>2041</epage><pages>2033-2041</pages><issn>0268-2575</issn><eissn>1097-4660</eissn><abstract>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).</abstract><cop>Chichester, UK</cop><pub>John Wiley & 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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