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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Improved time resolved KPI and strain characterization of multiple hosts in shake flasks using advanced online analytics and data science
Authors: Maschke, Rüdiger
Pretzner, Barbara
John, Gernot T.
Herwig, Christoph
Eibl, Dieter
et. al: No
DOI: 10.3390/bioengineering9080339
Published in: Bioengineering
Volume(Issue): 9
Issue: 8
Page(s): 339
Issue Date: 25-Jul-2022
Publisher / Ed. Institution: MDPI
ISSN: 2306-5354
Language: English
Subjects: Growth rate estimation; Key performance indicator; Mammalian cell cultures; Microbial cultivation; Online-analytics; Optrode; Plant suspension cultures; Shake flask; Specific oxygen consumption; Strain characterization
Subject (DDC): 660.6: Biotechnology
Abstract: Shake flasks remain one of the most widely used cultivation systems in biotechnology, especially for process development (cell line and parameter screening). This can be justified by their ease of use as well as their low investment and running costs. A disadvantage, however, is that cultivations in shake flasks are black box processes with reduced possibilities for recording online data, resulting in a lack of control and time-consuming, manual data analysis. Although different measurement methods have been developed for shake flasks, they lack comparability, especially when changing production organisms. In this study, the use of online backscattered light, dissolved oxygen, and pH data for characterization of animal, plant, and microbial cell culture processes in shake flasks are evaluated and compared. The application of these different online measurement techniques allows key performance indicators (KPIs) to be determined based on online data. This paper evaluates a novel data science workflow to automatically determine KPIs using online data from early development stages without human bias. This enables standardized and cost-effective process-oriented cell line characterization of shake flask cultivations to be performed in accordance with the process analytical technology (PAT) initiative. The comparison showed very good agreement between KPIs determined using offline data, manual techniques, and automatic calculations based on multiple signals of varying strengths with respect to the selected measurement signal.
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Chemistry and Biotechnology (ICBT)
Published as part of the ZHAW project: Intellishaker
Appears in collections:Publikationen Life Sciences und Facility Management

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