FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3102496979> ?p ?o ?g. }

• W3102496979 endingPage "124395" @default.
• W3102496979 startingPage "124395" @default.
• W3102496979 abstract "Abstract In this study the use of a particle filter algorithm to monitor Corynebacterium glutamicum fed-batch bioprocesses with uncertain raw material input composition is shown. The designed monitoring system consists of a dynamic model describing biomass growth on spent sulfite liquor. Based on particle filtering, model simulations are aligned with continuously and noninvasively measured carbon evolution and oxygen uptake rates, giving an estimate of the most probable culture state. Applied on two validation experiments, culture states were accurately estimated during batch and fed-batch operations with root mean square errors below 1.1 g L−1 for biomass, 0.6 g L−1 for multiple substrate concentrations and 0.01 g g−1 h−1 for biomass specific substrate uptake rates. Additionally, upon fed-batch start uncertain feedstock concentrations were corrected by the estimator without the need of any additional measurements. This provides a solid basis towards a more robust operation of bioprocesses utilizing lignocellulosic side streams." @default.
• W3102496979 created "2020-11-23" @default.
• W3102496979 creator A5002712732 @default.
• W3102496979 creator A5014729591 @default.
• W3102496979 creator A5029091238 @default.
• W3102496979 creator A5055332747 @default.
• W3102496979 date "2021-02-01" @default.
• W3102496979 modified "2023-10-03" @default.
• W3102496979 title "Noninvasive online monitoring of Corynebacterium glutamicum fed-batch bioprocesses subject to spent sulfite liquor raw material uncertainty" @default.
• W3102496979 cites W1516063641 @default.
• W3102496979 cites W1547599743 @default.
• W3102496979 cites W1977666436 @default.
• W3102496979 cites W1977990192 @default.
• W3102496979 cites W1983423874 @default.
• W3102496979 cites W1990946515 @default.
• W3102496979 cites W2013802941 @default.
• W3102496979 cites W2033782139 @default.
• W3102496979 cites W2040896388 @default.
• W3102496979 cites W2045921596 @default.
• W3102496979 cites W2048747046 @default.
• W3102496979 cites W2056696561 @default.
• W3102496979 cites W2061049225 @default.
• W3102496979 cites W2067338244 @default.
• W3102496979 cites W2068350631 @default.
• W3102496979 cites W2070997450 @default.
• W3102496979 cites W2084553888 @default.
• W3102496979 cites W2091677719 @default.
• W3102496979 cites W2093814680 @default.
• W3102496979 cites W2115381892 @default.
• W3102496979 cites W2115955917 @default.
• W3102496979 cites W2139038644 @default.
• W3102496979 cites W2140998418 @default.
• W3102496979 cites W2172964057 @default.
• W3102496979 cites W2223672308 @default.
• W3102496979 cites W2263031789 @default.
• W3102496979 cites W2306759795 @default.
• W3102496979 cites W2489255173 @default.
• W3102496979 cites W2590981297 @default.
• W3102496979 cites W2767215311 @default.
• W3102496979 cites W2769924108 @default.
• W3102496979 cites W2772838281 @default.
• W3102496979 cites W2800053122 @default.
• W3102496979 cites W2884168097 @default.
• W3102496979 cites W2901395302 @default.
• W3102496979 cites W2903954330 @default.
• W3102496979 cites W2963352372 @default.
• W3102496979 cites W2990581410 @default.
• W3102496979 cites W2996894170 @default.
• W3102496979 cites W3024401669 @default.
• W3102496979 cites W3043505641 @default.
• W3102496979 cites W2005280112 @default.
• W3102496979 doi "https://doi.org/10.1016/j.biortech.2020.124395" @default.
• W3102496979 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33285509" @default.
• W3102496979 hasPublicationYear "2021" @default.
• W3102496979 type Work @default.
• W3102496979 sameAs 3102496979 @default.
• W3102496979 citedByCount "11" @default.
• W3102496979 countsByYear W31024969792021 @default.
• W3102496979 countsByYear W31024969792022 @default.
• W3102496979 countsByYear W31024969792023 @default.
• W3102496979 crossrefType "journal-article" @default.
• W3102496979 hasAuthorship W3102496979A5002712732 @default.
• W3102496979 hasAuthorship W3102496979A5014729591 @default.
• W3102496979 hasAuthorship W3102496979A5029091238 @default.
• W3102496979 hasAuthorship W3102496979A5055332747 @default.
• W3102496979 hasBestOaLocation W31024969791 @default.
• W3102496979 hasConcept C104317684 @default.
• W3102496979 hasConcept C127413603 @default.
• W3102496979 hasConcept C150903083 @default.
• W3102496979 hasConcept C178790620 @default.
• W3102496979 hasConcept C183696295 @default.
• W3102496979 hasConcept C185592680 @default.
• W3102496979 hasConcept C206139338 @default.
• W3102496979 hasConcept C2776260651 @default.
• W3102496979 hasConcept C2779830873 @default.
• W3102496979 hasConcept C39432304 @default.
• W3102496979 hasConcept C528095902 @default.
• W3102496979 hasConcept C548081761 @default.
• W3102496979 hasConcept C55493867 @default.
• W3102496979 hasConcept C86803240 @default.
• W3102496979 hasConceptScore W3102496979C104317684 @default.
• W3102496979 hasConceptScore W3102496979C127413603 @default.
• W3102496979 hasConceptScore W3102496979C150903083 @default.
• W3102496979 hasConceptScore W3102496979C178790620 @default.
• W3102496979 hasConceptScore W3102496979C183696295 @default.
• W3102496979 hasConceptScore W3102496979C185592680 @default.
• W3102496979 hasConceptScore W3102496979C206139338 @default.
• W3102496979 hasConceptScore W3102496979C2776260651 @default.
• W3102496979 hasConceptScore W3102496979C2779830873 @default.
• W3102496979 hasConceptScore W3102496979C39432304 @default.
• W3102496979 hasConceptScore W3102496979C528095902 @default.
• W3102496979 hasConceptScore W3102496979C548081761 @default.
• W3102496979 hasConceptScore W3102496979C55493867 @default.
• W3102496979 hasConceptScore W3102496979C86803240 @default.
• W3102496979 hasFunder F4320330327 @default.
• W3102496979 hasLocation W31024969791 @default.
• W3102496979 hasOpenAccess W3102496979 @default.
• W3102496979 hasPrimaryLocation W31024969791 @default.

• next