<div class="csl-bib-body">
<div class="csl-entry">Sagmeister, P. (2014). <i>Platform-oriented biopharmaceutical process design using novel combinatory methods</i> [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.15040</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2014.15040
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/6237
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dc.description
Abweichender Titel laut Übersetzung der Verfasserin/des Verfassers
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dc.description.abstract
Biopharmaceutical products emerged as the principal driver for innovation in the pharmaceutical industry. Although of high economic and social importance, the development of biopharmaceutical manufacturing processes is still driven by time-intensive empirical approaches, delaying the time-to-market of novel drugs and jeopardizing the economic competitiveness of manufacturing processes. A promising approach to speed up process development and to enable robust manufacturing is to build-up process knowledge to form well-characterized biopharmaceutical manufacturing platforms. This enables the efficient development of production processes for a broad spectrum of products while simultaneously drug product quality and economic manufacturing risks are reduced. Within this thesis, the development of a novel and highly versatile E. coli recombinant protein production platform is presented. The built-up of platform process knowledge is achieved using novel combinatory methods which combine cutting edge technologies such as first-principle soft-sensors, dynamic experimentation, mid infrared and dielectric spectroscopy as well multivariate data analysis and kinetic modeling. Major novelties include the presentation of highly automated methods for the extraction of strain specific parameters, information which is essential for science-based bioprocess design. Expression tuning on cellular level is demonstrated using solely process technological means, resulting in a high degree of processing flexibility for the intended pharmaceutical manufacturing platform. Furthermore, for the first time, generic control methods based on soft-sensors are presented, which allow controlling multiple physiological bioprocess parameters simultaneously and therefore result in a more robust manufacturing. This thesis can be considered a case study demonstrating how combinatory methods can be purposefully exploited for the fast development of an efficient bioprocessing platform. The methodological focus of this thesis allows leveraging the developed combinatory methods and the platform bioprocess to other biotechnological manufacturing tasks and will enable the development of more competitive and predictable bioprocesses.
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
Quality by Design
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dc.subject
bacterial ghosts
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dc.subject
recombinant protein production
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dc.subject
process development
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dc.subject
methods
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dc.title
Platform-oriented biopharmaceutical process design using novel combinatory methods
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dc.title.alternative
Platform-orientierte Prozessentwicklung durch neue kombinatorische Methoden für Biopharmazeutika
de
dc.type
Thesis
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dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2014.15040
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Patrick Sagmeister
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E166 - Inst. f. Verfahrenstechnik, Umwelttechnik und Techn. Biowissenschaften
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dc.type.qualificationlevel
Doctoral
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dc.identifier.libraryid
AC12149047
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dc.description.numberOfPages
262
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-64296
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dc.thesistype
Dissertation
de
dc.thesistype
Dissertation
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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item.fulltext
with Fulltext
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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_db06
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item.languageiso639-1
en
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item.openaccessfulltext
Open Access
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item.openairetype
doctoral thesis
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item.grantfulltext
open
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crisitem.author.dept
E166 - Institut für Verfahrenstechnik, Umwelttechnik und technische Biowissenschaften