Development of an MFC-biosensor for determination of Pb+2: an assessment from computational fluid dynamics and life cycle assessment perspectives
Microbial fuel cell (MFC)-based biosensor sensing has emerged as an innovative approach to in situ and immediate monitoring of substrate concentration. MFC-biosensor uses bioanode as a sensing element. In this study, the performance of MFC-biosensor, operated with Pb +2 , was studied at different hy...
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| Veröffentlicht in: | Environmental monitoring and assessment 2022-04, Vol.194 (4), p.245-245, Article 245 |
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| creator | Cetinkaya, Afsin Y. Kuzu, S. Levent Bilgili, Levent |
| description | Microbial fuel cell (MFC)-based biosensor sensing has emerged as an innovative approach to in situ and immediate monitoring of substrate concentration. MFC-biosensor uses bioanode as a sensing element. In this study, the performance of MFC-biosensor, operated with Pb
+2
, was studied at different hydraulic retention times (HRTs). The HRT ranges were 0.5, 1, and 2 days. The power density generation increased with the decreasing HRT. The highest achievable power density was obtained at HRT of 1 days with the density value of 597 mW/m
2
. The power density produced in the MFC system was stored in the energy storage system. The computational fluid dynamics (CFD) method simulates detailed three-dimensional flow and heat transfer properties in reactors and provides information about potential reactor design. CFD was chosen to simulate the concentration distribution of the substrate in the MFC in different reactor type and different HRTs. It was observed that there was good turbulence in the reactor in a two day HRT and the reactor volume was used effectively. Life cycle assessment (LCA) was performed at 1 day with the highest power density. An LCA was implemented to the production and operation processes of a microbial fuel cell. According to the results, these two processes caused 4.23 × 10
−6
loss of healthy years, extinction of 1.3 × 10
−8
species in a year and loss of $ 0.33 source availability. The emissions to air, water, and soil were also calculated. These results showed that MFC-biosensor provided information on the rate of biodegradation processes. |
| doi_str_mv | 10.1007/s10661-022-09894-w |
| format | Article |
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+2
, was studied at different hydraulic retention times (HRTs). The HRT ranges were 0.5, 1, and 2 days. The power density generation increased with the decreasing HRT. The highest achievable power density was obtained at HRT of 1 days with the density value of 597 mW/m
2
. The power density produced in the MFC system was stored in the energy storage system. The computational fluid dynamics (CFD) method simulates detailed three-dimensional flow and heat transfer properties in reactors and provides information about potential reactor design. CFD was chosen to simulate the concentration distribution of the substrate in the MFC in different reactor type and different HRTs. It was observed that there was good turbulence in the reactor in a two day HRT and the reactor volume was used effectively. Life cycle assessment (LCA) was performed at 1 day with the highest power density. An LCA was implemented to the production and operation processes of a microbial fuel cell. According to the results, these two processes caused 4.23 × 10
−6
loss of healthy years, extinction of 1.3 × 10
−8
species in a year and loss of $ 0.33 source availability. The emissions to air, water, and soil were also calculated. These results showed that MFC-biosensor provided information on the rate of biodegradation processes.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-022-09894-w</identifier><identifier>PMID: 35246745</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Ammonium nitrogen ; Animals ; Atmospheric Protection/Air Quality Control/Air Pollution ; Biochemical fuel cells ; Biodegradation ; Bioelectric Energy Sources ; Biosensing Techniques ; Biosensors ; Computational fluid dynamics ; Computer applications ; Density ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Electricity ; Electrodes ; Emissions ; Energy storage ; Environment ; Environmental Management ; Environmental Monitoring ; Environmental science ; Fluid dynamics ; Fluid flow ; Fuel cells ; Fuel technology ; Heart rate turbulence ; Heat transfer ; Hydrodynamics ; Lead ; Life cycle ; Life cycle analysis ; Life cycle assessment ; Life Cycle Stages ; Life cycles ; Microorganisms ; Monitoring/Environmental Analysis ; Nuclear fuels ; Reactor design ; Reactors ; Sensors ; Soil water ; Substrates ; Three dimensional flow ; Turbulence ; Waste Water - chemistry</subject><ispartof>Environmental monitoring and assessment, 2022-04, Vol.194 (4), p.245-245, Article 245</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c305t-c2b4f5c82bb7bf6318a5ac75d70e9d0feffbbbf80776de14769c4f7d777053473</citedby><cites>FETCH-LOGICAL-c305t-c2b4f5c82bb7bf6318a5ac75d70e9d0feffbbbf80776de14769c4f7d777053473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-022-09894-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-022-09894-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35246745$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cetinkaya, Afsin Y.</creatorcontrib><creatorcontrib>Kuzu, S. Levent</creatorcontrib><creatorcontrib>Bilgili, Levent</creatorcontrib><title>Development of an MFC-biosensor for determination of Pb+2: an assessment from computational fluid dynamics and life cycle assessment perspectives</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Microbial fuel cell (MFC)-based biosensor sensing has emerged as an innovative approach to in situ and immediate monitoring of substrate concentration. MFC-biosensor uses bioanode as a sensing element. In this study, the performance of MFC-biosensor, operated with Pb
+2
, was studied at different hydraulic retention times (HRTs). The HRT ranges were 0.5, 1, and 2 days. The power density generation increased with the decreasing HRT. The highest achievable power density was obtained at HRT of 1 days with the density value of 597 mW/m
2
. The power density produced in the MFC system was stored in the energy storage system. The computational fluid dynamics (CFD) method simulates detailed three-dimensional flow and heat transfer properties in reactors and provides information about potential reactor design. CFD was chosen to simulate the concentration distribution of the substrate in the MFC in different reactor type and different HRTs. It was observed that there was good turbulence in the reactor in a two day HRT and the reactor volume was used effectively. Life cycle assessment (LCA) was performed at 1 day with the highest power density. An LCA was implemented to the production and operation processes of a microbial fuel cell. According to the results, these two processes caused 4.23 × 10
−6
loss of healthy years, extinction of 1.3 × 10
−8
species in a year and loss of $ 0.33 source availability. The emissions to air, water, and soil were also calculated. These results showed that MFC-biosensor provided information on the rate of biodegradation processes.</description><subject>Ammonium nitrogen</subject><subject>Animals</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Biochemical fuel cells</subject><subject>Biodegradation</subject><subject>Bioelectric Energy Sources</subject><subject>Biosensing Techniques</subject><subject>Biosensors</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Density</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Electricity</subject><subject>Electrodes</subject><subject>Emissions</subject><subject>Energy storage</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Fuel cells</subject><subject>Fuel technology</subject><subject>Heart rate turbulence</subject><subject>Heat transfer</subject><subject>Hydrodynamics</subject><subject>Lead</subject><subject>Life cycle</subject><subject>Life cycle analysis</subject><subject>Life cycle assessment</subject><subject>Life Cycle Stages</subject><subject>Life cycles</subject><subject>Microorganisms</subject><subject>Monitoring/Environmental Analysis</subject><subject>Nuclear fuels</subject><subject>Reactor design</subject><subject>Reactors</subject><subject>Sensors</subject><subject>Soil water</subject><subject>Substrates</subject><subject>Three dimensional flow</subject><subject>Turbulence</subject><subject>Waste Water - chemistry</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU2P1SAUhonRONfRP-DCNHFjYlCgBYo7c3XUZIwudE2AHkwnbamcdib3Z_iPpfeOH3HhgpwFz_uewEPIY85ecMb0S-RMKU6ZEJSZ1jT05g7ZcalrKow0d8mOcaWpqpU5Iw8QrxhjRjfmPjmrpWiUbuSO_HgD1zCkeYRpqVKs3FR9vNhT3yeECVOuYjkdLJDHfnJLn6aN-uyfi1cb6xAB8RiOOY1VSOO8LkfODVUc1r6rusPkxj5g4btq6CNU4RAG-Ds7Q8YZwtJfAz4k96IbEB7dznPy9eLtl_17evnp3Yf960saaiYXGoRvogyt8F77qGreOumClp1mYDoWIUbvfWyZ1qoD3mhlQhN1p7Vmsm50fU6enXrnnL6vgIsdewwwDG6CtKIV5eO4bAzb0Kf_oFdpzeWFG6WMbkURUShxokJOiBminXM_unywnNlNmD0Js0WYPQqzNyX05LZ69SN0vyO_DBWgPgFYrqZvkP_s_k_tT6P6pC0</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Cetinkaya, Afsin Y.</creator><creator>Kuzu, S. 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Levent</au><au>Bilgili, Levent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of an MFC-biosensor for determination of Pb+2: an assessment from computational fluid dynamics and life cycle assessment perspectives</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>194</volume><issue>4</issue><spage>245</spage><epage>245</epage><pages>245-245</pages><artnum>245</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Microbial fuel cell (MFC)-based biosensor sensing has emerged as an innovative approach to in situ and immediate monitoring of substrate concentration. MFC-biosensor uses bioanode as a sensing element. In this study, the performance of MFC-biosensor, operated with Pb
+2
, was studied at different hydraulic retention times (HRTs). The HRT ranges were 0.5, 1, and 2 days. The power density generation increased with the decreasing HRT. The highest achievable power density was obtained at HRT of 1 days with the density value of 597 mW/m
2
. The power density produced in the MFC system was stored in the energy storage system. The computational fluid dynamics (CFD) method simulates detailed three-dimensional flow and heat transfer properties in reactors and provides information about potential reactor design. CFD was chosen to simulate the concentration distribution of the substrate in the MFC in different reactor type and different HRTs. It was observed that there was good turbulence in the reactor in a two day HRT and the reactor volume was used effectively. Life cycle assessment (LCA) was performed at 1 day with the highest power density. An LCA was implemented to the production and operation processes of a microbial fuel cell. According to the results, these two processes caused 4.23 × 10
−6
loss of healthy years, extinction of 1.3 × 10
−8
species in a year and loss of $ 0.33 source availability. The emissions to air, water, and soil were also calculated. These results showed that MFC-biosensor provided information on the rate of biodegradation processes.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35246745</pmid><doi>10.1007/s10661-022-09894-w</doi><tpages>1</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0167-6369 |
| ispartof | Environmental monitoring and assessment, 2022-04, Vol.194 (4), p.245-245, Article 245 |
| issn | 0167-6369 1573-2959 |
| language | eng |
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| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Ammonium nitrogen Animals Atmospheric Protection/Air Quality Control/Air Pollution Biochemical fuel cells Biodegradation Bioelectric Energy Sources Biosensing Techniques Biosensors Computational fluid dynamics Computer applications Density Earth and Environmental Science Ecology Ecotoxicology Electricity Electrodes Emissions Energy storage Environment Environmental Management Environmental Monitoring Environmental science Fluid dynamics Fluid flow Fuel cells Fuel technology Heart rate turbulence Heat transfer Hydrodynamics Lead Life cycle Life cycle analysis Life cycle assessment Life Cycle Stages Life cycles Microorganisms Monitoring/Environmental Analysis Nuclear fuels Reactor design Reactors Sensors Soil water Substrates Three dimensional flow Turbulence Waste Water - chemistry |
| title | Development of an MFC-biosensor for determination of Pb+2: an assessment from computational fluid dynamics and life cycle assessment perspectives |
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