<div class="csl-bib-body">
<div class="csl-entry">Pilz, F. (2019). <i>Online biomass estimation via a robust soft sensor</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.62901</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2019.62901
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/2003
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dc.description
Abweichender Titel nach Übersetzung von der Verfasserin/des Verfassers
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dc.description.abstract
Bioprocesses require efficient monitoring and control of the respective process parameters. In order to achieve defined states to produce a product in high quantities and required quality, the respective time-dependent biomass concentration as a catalytic converter is a key variable. However, several offline measurements such as the optical density or dry weight measurements exist but repeatedly do not satisfy the requirements for modern bioprocess development. Therefore, hard sensor types based on permittivity measurements and dielectric spectroscopy were used to determine the biomass online. However, these measurements come with different challenges and disadvantages. An alternative to these hard-type sensors are soft-type sensors, which indirectly estimate the biomass produced by existing measurements with a bioreaction system in real-time. Therefore, the known inlet, outlet and feed streams were quantified to calculate rates. These rates are used to develop a balance system according the law of mass conservation for carbon, nitrogen and degree of reduction. This overdetermined model system of equations can be solved with calculated rates or reconciled rates for the best possible estimation of the biomass. The estimated biomass amount is used for different specific substrate uptake rates during the experiment. For a trustworthy estimate of the biomass, a statistical test has been introduced which can distinguish whether a systematic error exists or whether the deviations of the rates can be explained with random errors. In this context, the error propagation of the measurements was considered in real-time as a novel approach. The investigation of the soft sensor concept shows that in the case of a valid model, the degree of reduction balance with the calculated rates of the measured quantities and the C-balance with the reconciled rates best describe the bioreaction. There were achieved accuracies below 10% for the estimation for the biomass relative to reference measurements such as optical density and dry weight measurements demonstrated with a Saccharomyces cerevisiae cultivation. A workflow was developed which should guarantee a successful fermentation using this robust soft sensor concept.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
biomass estimation
de
dc.subject
real-time
de
dc.subject
soft sensor
de
dc.subject
error consideration
de
dc.subject
yeast cell culture
de
dc.subject
bioprocess optimization
de
dc.subject
dynamic experiments
de
dc.subject
biomass estimation
en
dc.subject
real-time
en
dc.subject
soft sensor
en
dc.subject
error consideration
en
dc.subject
yeast cell culture
en
dc.subject
bioprocess optimization
en
dc.subject
dynamic experiments
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dc.title
Online biomass estimation via a robust soft sensor
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dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2019.62901
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Felix Pilz
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E166 - Institut für Verfahrenstechnik, Umwelttechnik und technische Biowissenschaften
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC15279190
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dc.description.numberOfPages
73
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-121038
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dc.thesistype
Diplomarbeit
de
dc.thesistype
Diploma Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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item.openaccessfulltext
Open Access
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item.grantfulltext
open
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item.cerifentitytype
Publications
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_bdcc
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item.languageiso639-1
en
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item.openairetype
master thesis
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item.fulltext
with Fulltext
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crisitem.author.dept
E226-01 - Forschungsbereich Wassergütewirtschaft
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crisitem.author.parentorg
E226 - Institut für Wassergüte und Ressourcenmanagement