Enhancement of Voltage Generation Using Isolated Dissimilatory Iron-Reducing (DIR) Bacteria Klebsiella pneumoniae in Microbial Fuel Cell
Microbial fuel cell is a renewable and sustainable technology for simultaneous oxidation of organic matter and electricity generation. The present study utilizes sequential optimization strategy of media components for voltage enhancement in microbial fuel cell exercising Klebsiella pneumoniae , a f...
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| Veröffentlicht in: | Arabian journal for science and engineering (2011) 2017, Vol.42 (1), p.65-73 |
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| container_title | Arabian journal for science and engineering (2011) |
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| creator | Yuvraj, C. Aranganathan, V. |
| description | Microbial fuel cell is a renewable and sustainable technology for simultaneous oxidation of organic matter and electricity generation. The present study utilizes sequential optimization strategy of media components for voltage enhancement in microbial fuel cell exercising
Klebsiella pneumoniae
, a fermentative bacterium for the bioelectricity generation. Taguchi model screened the significant factors that are KH
2
PO
4
, glucose and asparagine which significantly influences the voltage generation. A second-order polynomial equation was created to correlate the relationship between independent variables and open-circuit voltage yield. These factors were further optimized using central composite design of response surface methodology and the optimal concentration for KH
2
PO
4
, glucose and asparagine were found to be 0.33172, 28.91 and 5.3750 g/l, respectively. Under optimal media components, voltage yield of 985mV (highest reported till date) was observed showing an increment of 16.844% with respect to un-optimized media. Statistical optimization and
Klebsiella pneumoniae
together has been employed for the first time in microbial fuel cell. |
| doi_str_mv | 10.1007/s13369-016-2108-4 |
| format | Article |
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Klebsiella pneumoniae
, a fermentative bacterium for the bioelectricity generation. Taguchi model screened the significant factors that are KH
2
PO
4
, glucose and asparagine which significantly influences the voltage generation. A second-order polynomial equation was created to correlate the relationship between independent variables and open-circuit voltage yield. These factors were further optimized using central composite design of response surface methodology and the optimal concentration for KH
2
PO
4
, glucose and asparagine were found to be 0.33172, 28.91 and 5.3750 g/l, respectively. Under optimal media components, voltage yield of 985mV (highest reported till date) was observed showing an increment of 16.844% with respect to un-optimized media. Statistical optimization and
Klebsiella pneumoniae
together has been employed for the first time in microbial fuel cell.</description><identifier>ISSN: 2193-567X</identifier><identifier>ISSN: 1319-8025</identifier><identifier>EISSN: 2191-4281</identifier><identifier>DOI: 10.1007/s13369-016-2108-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Bacteria ; Biochemical fuel cells ; Bioelectricity ; Circuit design ; Design optimization ; Electric potential ; Electricity generation ; Engineering ; Fuel cells ; Fuels ; Glucose ; Humanities and Social Sciences ; Independent variables ; Klebsiella ; Microorganisms ; multidisciplinary ; Oxidation ; Research Article - Biological Sciences ; Response surface methodology ; Science ; Sewage treatment plants</subject><ispartof>Arabian journal for science and engineering (2011), 2017, Vol.42 (1), p.65-73</ispartof><rights>King Fahd University of Petroleum & Minerals 2016</rights><rights>Copyright Springer Science & Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-2a2ff3a64784b0a1102d065552a084134679e0d6532c994c77a803231a886f6a3</citedby><cites>FETCH-LOGICAL-c316t-2a2ff3a64784b0a1102d065552a084134679e0d6532c994c77a803231a886f6a3</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/s13369-016-2108-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13369-016-2108-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Yuvraj, C.</creatorcontrib><creatorcontrib>Aranganathan, V.</creatorcontrib><title>Enhancement of Voltage Generation Using Isolated Dissimilatory Iron-Reducing (DIR) Bacteria Klebsiella pneumoniae in Microbial Fuel Cell</title><title>Arabian journal for science and engineering (2011)</title><addtitle>Arab J Sci Eng</addtitle><description>Microbial fuel cell is a renewable and sustainable technology for simultaneous oxidation of organic matter and electricity generation. The present study utilizes sequential optimization strategy of media components for voltage enhancement in microbial fuel cell exercising
Klebsiella pneumoniae
, a fermentative bacterium for the bioelectricity generation. Taguchi model screened the significant factors that are KH
2
PO
4
, glucose and asparagine which significantly influences the voltage generation. A second-order polynomial equation was created to correlate the relationship between independent variables and open-circuit voltage yield. These factors were further optimized using central composite design of response surface methodology and the optimal concentration for KH
2
PO
4
, glucose and asparagine were found to be 0.33172, 28.91 and 5.3750 g/l, respectively. Under optimal media components, voltage yield of 985mV (highest reported till date) was observed showing an increment of 16.844% with respect to un-optimized media. Statistical optimization and
Klebsiella pneumoniae
together has been employed for the first time in microbial fuel cell.</description><subject>Bacteria</subject><subject>Biochemical fuel cells</subject><subject>Bioelectricity</subject><subject>Circuit design</subject><subject>Design optimization</subject><subject>Electric potential</subject><subject>Electricity generation</subject><subject>Engineering</subject><subject>Fuel cells</subject><subject>Fuels</subject><subject>Glucose</subject><subject>Humanities and Social Sciences</subject><subject>Independent variables</subject><subject>Klebsiella</subject><subject>Microorganisms</subject><subject>multidisciplinary</subject><subject>Oxidation</subject><subject>Research Article - Biological Sciences</subject><subject>Response surface methodology</subject><subject>Science</subject><subject>Sewage treatment plants</subject><issn>2193-567X</issn><issn>1319-8025</issn><issn>2191-4281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kD1v2zAQhoWgBRIk-QHZCHRpByY8kqKosXW-jKQIYMRFN-Isn1wWMumS0pB_kJ8duu7QJROPwPO-d3iq6gLEJQjRXGVQyrRcgOEShOX6qDqR0ALX0sKHv7PitWl-HlfnOfuV0Fa1NYA6qV5vwi8MHW0pjCz27EccRtwQu6NACUcfA1tmHzZsnuOAI63ZtS8VW18-Mb2weYqBL2g9dXvo8_V88YV9w26k5JE9DLTKnoYB2S7QtI3BIzEf2HffpbjyOLDbiQY2K8hZ9bHHIdP5v_e0Wt7ePM_u-ePT3Xz29ZF3CszIJcq-V2h0Y_VKIICQa2HqupYorAalTdOSWJtaya5tddc0aIWSCtBa0xtUp9WnQ-8uxT8T5dH9jlMKZaUDa4UVRhpZKDhQ5c6cE_Vul_wW04sD4fbO3cG5K87d3rnTJSMPmVzYsKH0X_O7oTfgmoN5</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Yuvraj, C.</creator><creator>Aranganathan, V.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2017</creationdate><title>Enhancement of Voltage Generation Using Isolated Dissimilatory Iron-Reducing (DIR) Bacteria Klebsiella pneumoniae in Microbial Fuel Cell</title><author>Yuvraj, C. ; Aranganathan, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-2a2ff3a64784b0a1102d065552a084134679e0d6532c994c77a803231a886f6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bacteria</topic><topic>Biochemical fuel cells</topic><topic>Bioelectricity</topic><topic>Circuit design</topic><topic>Design optimization</topic><topic>Electric potential</topic><topic>Electricity generation</topic><topic>Engineering</topic><topic>Fuel cells</topic><topic>Fuels</topic><topic>Glucose</topic><topic>Humanities and Social Sciences</topic><topic>Independent variables</topic><topic>Klebsiella</topic><topic>Microorganisms</topic><topic>multidisciplinary</topic><topic>Oxidation</topic><topic>Research Article - Biological Sciences</topic><topic>Response surface methodology</topic><topic>Science</topic><topic>Sewage treatment plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuvraj, C.</creatorcontrib><creatorcontrib>Aranganathan, V.</creatorcontrib><collection>CrossRef</collection><jtitle>Arabian journal for science and engineering (2011)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuvraj, C.</au><au>Aranganathan, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancement of Voltage Generation Using Isolated Dissimilatory Iron-Reducing (DIR) Bacteria Klebsiella pneumoniae in Microbial Fuel Cell</atitle><jtitle>Arabian journal for science and engineering (2011)</jtitle><stitle>Arab J Sci Eng</stitle><date>2017</date><risdate>2017</risdate><volume>42</volume><issue>1</issue><spage>65</spage><epage>73</epage><pages>65-73</pages><issn>2193-567X</issn><issn>1319-8025</issn><eissn>2191-4281</eissn><abstract>Microbial fuel cell is a renewable and sustainable technology for simultaneous oxidation of organic matter and electricity generation. The present study utilizes sequential optimization strategy of media components for voltage enhancement in microbial fuel cell exercising
Klebsiella pneumoniae
, a fermentative bacterium for the bioelectricity generation. Taguchi model screened the significant factors that are KH
2
PO
4
, glucose and asparagine which significantly influences the voltage generation. A second-order polynomial equation was created to correlate the relationship between independent variables and open-circuit voltage yield. These factors were further optimized using central composite design of response surface methodology and the optimal concentration for KH
2
PO
4
, glucose and asparagine were found to be 0.33172, 28.91 and 5.3750 g/l, respectively. Under optimal media components, voltage yield of 985mV (highest reported till date) was observed showing an increment of 16.844% with respect to un-optimized media. Statistical optimization and
Klebsiella pneumoniae
together has been employed for the first time in microbial fuel cell.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s13369-016-2108-4</doi><tpages>9</tpages></addata></record> |
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| ispartof | Arabian journal for science and engineering (2011), 2017, Vol.42 (1), p.65-73 |
| issn | 2193-567X 1319-8025 2191-4281 |
| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Bacteria Biochemical fuel cells Bioelectricity Circuit design Design optimization Electric potential Electricity generation Engineering Fuel cells Fuels Glucose Humanities and Social Sciences Independent variables Klebsiella Microorganisms multidisciplinary Oxidation Research Article - Biological Sciences Response surface methodology Science Sewage treatment plants |
| title | Enhancement of Voltage Generation Using Isolated Dissimilatory Iron-Reducing (DIR) Bacteria Klebsiella pneumoniae in Microbial Fuel Cell |
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