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010   $a981-10-2510-X
024 7 $a10.1007/978-981-10-2510-5
035   $a(CKB)3710000000873208
035   $a(DE-He213)978-981-10-2510-5
035   $a(MiAaPQ)EBC4699972
035   $a(PPN)195507398
035   $a(EXLCZ)993710000000873208
100   $a20160928d2016      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIn silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis /$fby Nishu Goyal
205   $a1st ed. 2016.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016.
215   $a1 online resource (XXV, 122 p. 32 illus., 5 illus. in color.)
225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
311   $a981-10-2509-6 
320   $aIncudes bibliographical references at the end of each chapters.
327   $aIntroduction -- Literature Review -- A Genome-scale Metabolic Model of M. maripaludis S2 for CO2 Capture and Conversion to Methane -- Flux Measurements and Maintenance Energy for CO2 Utilization by M. maripaludis -- Diazotrophy Enhances CO2 to Methane Conversion in M.maripaludis -- Contributions and Future Recommendations.
330   $aThis thesis explores the ability of M. maripaludis to capture and convert CO2 to methane in the presence of free nitrogen, and offers a consolidated review of the metabolic processes and applications of M. maripaludis. Further, it develops, validates and analyzes the first genome-scale metabolic model (iMM518) of M. maripaludis. Readers will discover, for the first time, the impact of nitrogen fixation on methane production. As such, the thesis will be of interest to researchers working on M. maripaludis, biofuels and bioenergy, systems biology modeling and its experimental validation, estimation of maintenance energy parameters, nitrogen fixing microbes, and bioremediation.
410  0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
606   $aBiochemical engineering
606   $aEnvironmental engineering
606   $aBiotechnology
606   $aRenewable energy resources
606   $aSystems biology
606   $aBiological systems
606   $aBiochemical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C12029
606   $aEnvironmental Engineering/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/U33000
606   $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000
606   $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/P27050
615  0$aBiochemical engineering.
615  0$aEnvironmental engineering.
615  0$aBiotechnology.
615  0$aRenewable energy resources.
615  0$aSystems biology.
615  0$aBiological systems.
615 14$aBiochemical Engineering.
615 24$aEnvironmental Engineering/Biotechnology.
615 24$aRenewable and Green Energy.
615 24$aSystems Biology.
676   $a572.429
700   $aGoyal$b Nishu$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064833
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254046203321
996   $aIn silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis$92541138
997   $aUNINA