001     864990
005     20210130002816.0
024 7 _ |a 10.1016/j.algal.2019.101631
|2 doi
024 7 _ |a 2128/22845
|2 Handle
024 7 _ |a WOS:000489307800010
|2 WOS
037 _ _ |a FZJ-2019-04567
041 _ _ |a English
082 _ _ |a 580
100 1 _ |a Wang, Liming
|0 P:(DE-Juel1)167455
|b 0
|e First author
|u fzj
245 _ _ |a Determination of individual chain length and chain-length distribution of polyphosphates in microalgae by 31P-DOSY-NMR
260 _ _ |a Amsterdam [u.a.]
|c 2019
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1568724468_18881
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Due to its ecological and biotechnological relevance, polyphosphate in microalgae is currently the focus of intense research. Numerous biological functions are performed by or dependent on polyphosphate, and they depend, among other factors, on its chain length. Chain length determination is important for understanding polyphosphate metabolism and for maximizing intracellular polyphosphate abundance per unit weight of biomass. 31P-DOSY NMR virtually separates various polyphosphate polymers in a mixture based on different translational diffusion coefficients. The diffusion coefficient of a polyphosphate molecule correlates with its molecular weight, enabling determination of individual chain lengths. Moreover, the polydispersity index can also be uniquely determined by DOSY as a measure of the overall chain-length distribution of polyphosphates. By contrast, conventional 31P NMR is only able to estimate the average chain length of the entire polyphosphate pool. Therefore, DOSY provides the opportunity to deepen our insight into polyphosphate metabolism and dynamics in algal biomass.
536 _ _ |a 582 - Plant Science (POF3-582)
|0 G:(DE-HGF)POF3-582
|c POF3-582
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
650 1 7 |a Others
|0 V:(DE-MLZ)GC-2003-2016
|2 V:(DE-HGF)
|x 0
700 1 _ |a Kuchendorf, Christina
|0 P:(DE-Juel1)159104
|b 1
|u fzj
700 1 _ |a Willbold, Sabine
|0 P:(DE-Juel1)133857
|b 2
|e Corresponding author
|u fzj
770 _ _ |a Nutrient and energy storage pools in microalgae: From genes to waste water applications - VSI:Algae nutrient storage
|z 2211-9264
773 _ _ |a 10.1016/j.algal.2019.101631
|g Vol. 43, p. 101631 -
|0 PERI:(DE-600)2655780-0
|p 101631 -101634
|t Algal Research
|v 43
|y 2019
|x 2211-9264
856 4 _ |y Published on 2019-08-12. Available in OpenAccess from 2021-08-12.
|z StatID:(DE-HGF)0510
|u https://juser.fz-juelich.de/record/864990/files/manuscript.pdf
856 4 _ |y Published on 2019-08-12. Available in OpenAccess from 2021-08-12.
|x pdfa
|z StatID:(DE-HGF)0510
|u https://juser.fz-juelich.de/record/864990/files/manuscript.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:864990
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)167455
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)159104
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)133857
913 1 _ |a DE-HGF
|b Key Technologies
|l Key Technologies for the Bioeconomy
|1 G:(DE-HGF)POF3-580
|0 G:(DE-HGF)POF3-582
|2 G:(DE-HGF)POF3-500
|v Plant Science
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2019
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ALGAL RES : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)ZEA-3-20090406
|k ZEA-3
|l Analytik
|x 0
920 1 _ |0 I:(DE-Juel1)IBG-2-20101118
|k IBG-2
|l Pflanzenwissenschaften
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)ZEA-3-20090406
980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21