000841203 001__ 841203
000841203 005__ 20210129231937.0
000841203 0247_ $$2doi$$a10.1093/femsle/fnx238
000841203 0247_ $$2ISSN$$a0378-1097
000841203 0247_ $$2ISSN$$a1574-6968
000841203 0247_ $$2WOS$$aWOS:000428748700001
000841203 037__ $$aFZJ-2017-08296
000841203 041__ $$aEnglish
000841203 082__ $$a570
000841203 1001_ $$0P:(DE-Juel1)161365$$aMorschett, Holger$$b0
000841203 245__ $$aLaboratory scale photobiotechnology – Current trends and future perspectives
000841203 260__ $$aOxford$$bOxford Univ. Press$$c2018
000841203 3367_ $$2DRIVER$$aarticle
000841203 3367_ $$2DataCite$$aOutput Types/Journal article
000841203 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1519377626_11420
000841203 3367_ $$2BibTeX$$aARTICLE
000841203 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000841203 3367_ $$00$$2EndNote$$aJournal Article
000841203 520__ $$aPhototrophic bioprocesses are a promising puzzle piece in future bioeconomy concepts but yet mostly fail for economic reasons. Besides other aspects, this is mainly attributed to the omnipresent issue of optimal light supply impeding scale-up and -down of phototrophic processes according to classic established concepts. This MiniReview examines two current trends in photobiotechnology, namely microscale cultivation and modeling and simulation. Microphotobioreactors are a valuable and promising trend with microfluidic chips and microtiter plates as predominant design concepts. Providing idealized conditions, chip systems are preferably to be used for acquiring physiological data of microalgae while microtiter plate systems are more appropriate for process parameter and medium screenings. However, these systems are far from series technology and significant improvements especially regarding flexible light supply remain crucial. Whereas microscale is less addressed by modeling and simulation so far, benchtop photobioreactor design and operation have successfully been studied using such tools. This particularly includes quantitative model-assisted understanding of mixing, mass transfer, light dispersion and particle tracing as well as their relevance for microalgal performance. The ultimate goal will be to combine physiological data from microphotobioreactors with hybrid models to integrate metabolism and reactor simulation in order to facilitate knowledge-based scale transfer of phototrophic bioprocesses.
000841203 536__ $$0G:(DE-HGF)POF3-583$$a583 - Innovative Synergisms (POF3-583)$$cPOF3-583$$fPOF III$$x0
000841203 588__ $$aDataset connected to CrossRef
000841203 7001_ $$0P:(DE-Juel1)164366$$aLoomba, Varun$$b1
000841203 7001_ $$0P:(DE-Juel1)129333$$aHuber, Gregor$$b2
000841203 7001_ $$0P:(DE-Juel1)129076$$aWiechert, Wolfgang$$b3
000841203 7001_ $$0P:(DE-Juel1)129081$$avon Lieres, Eric$$b4
000841203 7001_ $$0P:(DE-Juel1)129053$$aOldiges, Marco$$b5$$eCorresponding author
000841203 773__ $$0PERI:(DE-600)1501716-3$$a10.1093/femsle/fnx238$$n1$$p1-9$$tFEMS microbiology letters$$v365$$x1574-6968$$y2018
000841203 8564_ $$uhttps://juser.fz-juelich.de/record/841203/files/fnx238.pdf$$yRestricted
000841203 8564_ $$uhttps://juser.fz-juelich.de/record/841203/files/fnx238.gif?subformat=icon$$xicon$$yRestricted
000841203 8564_ $$uhttps://juser.fz-juelich.de/record/841203/files/fnx238.jpg?subformat=icon-1440$$xicon-1440$$yRestricted
000841203 8564_ $$uhttps://juser.fz-juelich.de/record/841203/files/fnx238.jpg?subformat=icon-180$$xicon-180$$yRestricted
000841203 8564_ $$uhttps://juser.fz-juelich.de/record/841203/files/fnx238.jpg?subformat=icon-640$$xicon-640$$yRestricted
000841203 8564_ $$uhttps://juser.fz-juelich.de/record/841203/files/fnx238.pdf?subformat=pdfa$$xpdfa$$yRestricted
000841203 909CO $$ooai:juser.fz-juelich.de:841203$$pVDB
000841203 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)161365$$aForschungszentrum Jülich$$b0$$kFZJ
000841203 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)164366$$aForschungszentrum Jülich$$b1$$kFZJ
000841203 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129333$$aForschungszentrum Jülich$$b2$$kFZJ
000841203 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129076$$aForschungszentrum Jülich$$b3$$kFZJ
000841203 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129081$$aForschungszentrum Jülich$$b4$$kFZJ
000841203 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129053$$aForschungszentrum Jülich$$b5$$kFZJ
000841203 9131_ $$0G:(DE-HGF)POF3-583$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vInnovative Synergisms$$x0
000841203 9141_ $$y2017
000841203 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000841203 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bFEMS MICROBIOL LETT : 2015
000841203 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000841203 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000841203 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000841203 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000841203 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000841203 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000841203 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000841203 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000841203 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000841203 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000841203 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000841203 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000841203 9201_ $$0I:(DE-Juel1)IBG-1-20101118$$kIBG-1$$lBiotechnologie$$x0
000841203 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x1
000841203 980__ $$ajournal
000841203 980__ $$aVDB
000841203 980__ $$aI:(DE-Juel1)IBG-1-20101118
000841203 980__ $$aI:(DE-Juel1)IBG-2-20101118
000841203 980__ $$aUNRESTRICTED