-
Je něco špatně v tomto záznamu ?
Advanced integration of fluid dynamics and photosynthetic reaction kinetics for microalgae culture systems
S. Papacek, J. Jablonsky, K. Petera,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
BioMedCentral
od 2007-06-01 do 2019-12-31
BioMedCentral Open Access
od 2007 do 2019
Free Medical Journals
od 2007
PubMed Central
od 2007 do 2019
Europe PubMed Central
od 2007
ProQuest Central
od 2009-01-01 do 2019-01-31
Open Access Digital Library
od 2007-01-01
Open Access Digital Library
od 2007-01-01
Medline Complete (EBSCOhost)
od 2007-01-01 do 2019-08-12
Health & Medicine (ProQuest)
od 2009-01-01 do 2019-01-31
Springer Nature OA/Free Journals
od 2007-06-01 do 2019-12-31
- MeSH
- biologické modely MeSH
- fotosyntéza * MeSH
- hydrodynamika * MeSH
- kultivační techniky * MeSH
- mikrořasy růst a vývoj fyziologie účinky záření MeSH
- počítačová simulace MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Photosynthetic microalgae have been in the spotlight of biotechnological production (biofuels, lipids, etc), however, current barriers in mass cultivation of microalgae are limiting its successful industrialization. Therefore, a mathematical model integrating both the biological and hydrodynamical parts of the cultivation process may improve our understanding of relevant phenomena, leading to further optimization of the microalgae cultivation. RESULTS: We introduce a unified multidisciplinary simulation tool for microalgae culture systems, particularly the photobioreactors. Our approach describes changes of cell growth determined by dynamics of heterogeneous environmental conditions such as irradiation and mixing of the culture. Presented framework consists of (i) a simplified model of microalgae growth in a culture system (the advection-diffusion-reaction system within a phenomenological model of photosynthesis and photoinhibition), (ii) the fluid dynamics (Navier-Stokes equations), and (iii) the irradiance field description (Beer-Lambert law). To validate the method, a simple case study leading to hydrodynamically induced fluctuating light conditions was chosen. The integration of computational fluid dynamics (ANSYS Fluent) revealed the inner property of the system, the flashing light enhancement phenomenon, known from experiments. CONCLUSION: Our physically accurate model of microalgae culture naturally exhibits features of real system, can be applied to any geometry of microalgae mass cultivation and thus is suitable for biotechnological applications.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19034893
- 003
- CZ-PrNML
- 005
- 20191029160043.0
- 007
- ta
- 008
- 191007s2018 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1186/s12918-018-0611-9 $2 doi
- 035 __
- $a (PubMed)30458763
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Papacek, Stepan $u Institute of Complex Systems, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, Zámek 136, 373 33 Nové Hrady, Czech Republic.
- 245 10
- $a Advanced integration of fluid dynamics and photosynthetic reaction kinetics for microalgae culture systems / $c S. Papacek, J. Jablonsky, K. Petera,
- 520 9_
- $a BACKGROUND: Photosynthetic microalgae have been in the spotlight of biotechnological production (biofuels, lipids, etc), however, current barriers in mass cultivation of microalgae are limiting its successful industrialization. Therefore, a mathematical model integrating both the biological and hydrodynamical parts of the cultivation process may improve our understanding of relevant phenomena, leading to further optimization of the microalgae cultivation. RESULTS: We introduce a unified multidisciplinary simulation tool for microalgae culture systems, particularly the photobioreactors. Our approach describes changes of cell growth determined by dynamics of heterogeneous environmental conditions such as irradiation and mixing of the culture. Presented framework consists of (i) a simplified model of microalgae growth in a culture system (the advection-diffusion-reaction system within a phenomenological model of photosynthesis and photoinhibition), (ii) the fluid dynamics (Navier-Stokes equations), and (iii) the irradiance field description (Beer-Lambert law). To validate the method, a simple case study leading to hydrodynamically induced fluctuating light conditions was chosen. The integration of computational fluid dynamics (ANSYS Fluent) revealed the inner property of the system, the flashing light enhancement phenomenon, known from experiments. CONCLUSION: Our physically accurate model of microalgae culture naturally exhibits features of real system, can be applied to any geometry of microalgae mass cultivation and thus is suitable for biotechnological applications.
- 650 _2
- $a počítačová simulace $7 D003198
- 650 12
- $a kultivační techniky $7 D046508
- 650 12
- $a hydrodynamika $7 D057446
- 650 _2
- $a mikrořasy $x růst a vývoj $x fyziologie $x účinky záření $7 D058086
- 650 _2
- $a biologické modely $7 D008954
- 650 12
- $a fotosyntéza $7 D010788
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Jablonsky, Jiri $u Institute of Complex Systems, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, Zámek 136, 373 33 Nové Hrady, Czech Republic. jiri.jablonsky@gmail.com.
- 700 1_
- $a Petera, Karel $u Czech Technical University in Prague, Faculty of Mechanical Engineering, Technická 4, Prague, 160 00, Czech Republic.
- 773 0_
- $w MED00200576 $t BMC systems biology $x 1752-0509 $g Roč. 12, Suppl 5 (2018), s. 93
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/30458763 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20191007 $b ABA008
- 991 __
- $a 20191029160522 $b ABA008
- 999 __
- $a ok $b bmc $g 1451553 $s 1073443
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2018 $b 12 $c Suppl 5 $d 93 $e 20181120 $i 1752-0509 $m BMC systems biology $n BMC Syst Biol $x MED00200576
- LZP __
- $a Pubmed-20191007