Application of an Online-Biomass Sensor in an Optical Multisensory Platform Prototype for Growth Monitoring of Biotechnical Relevant Microorganism and Cell Lines in Single-Use Shake Flasks

Autor: Jörg Schmidt-Hager, Gernot Thomas John, Michael Findeis, Sascha Beutel, Christian Ude, Thomas Scheper
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Dewey Decimal Classification::500 | Naturwissenschaften::540 | Chemie
Engineering
Dewey Decimal Classification::500 | Naturwissenschaften::570 | Biowissenschaften
Biologie
CHO cell line
device failure analysis
Microorganism
Cell Count
lcsh:Chemical technology
Biochemistry
light scattering
Analytical Chemistry
Photometry
Data acquisition
equipment design
online system
animal
lcsh:TP1-1185
Instrumentation
Dewey Decimal Classification::500 | Naturwissenschaften
Shake flask
Electrical engineering
system analysis
Equipment Design
Atomic and Molecular Physics
and Optics
ddc:540
Curve fitting
ddc:500
optical density
Biological system
devices
photometry
CHO Cells
densitometry
Online Systems
Article
Cricetulus
process monitoring
ddc:570
Animals
Electrical and Electronic Engineering
Bioprocess
Cell Proliferation
Cell Size
Biological Oxygen Demand Analysis
Measurement method
Single use
business.industry
shake flask
refractometry
biomass sensor
Equipment Failure Analysis
Systems Integration
Refractometry
Growth monitoring
physiology
biochemical oxygen demand
business
Densitometry
Zdroj: Sensors; Volume 14; Issue 9; Pages: 17390-17405
Sensors, Vol 14, Iss 9, Pp 17390-17405 (2014)
Sensors (Basel, Switzerland)
Sensors 14 (2014), Nr. 9
ISSN: 1424-8220
DOI: 10.3390/s140917390
Popis: In the context of this work we evaluated a multisensory, noninvasive prototype platform for shake flask cultivations by monitoring three basic parameters (pH, pO2 and biomass). The focus lies on the evaluation of the biomass sensor based on backward light scattering. The application spectrum was expanded to four new organisms in addition to E. coli K12 and S. cerevisiae [1]. It could be shown that the sensor is appropriate for a wide range of standard microorganisms, e.g., L. zeae, K. pastoris, A. niger and CHO-K1. The biomass sensor signal could successfully be correlated and calibrated with well-known measurement methods like OD600, cell dry weight (CDW) and cell concentration. Logarithmic and Bleasdale-Nelder derived functions were adequate for data fitting. Measurements at low cell concentrations proved to be critical in terms of a high signal to noise ratio, but the integration of a custom made light shade in the shake flask improved these measurements significantly. This sensor based measurement method has a high potential to initiate a new generation of online bioprocess monitoring. Metabolic studies will particularly benefit from the multisensory data acquisition. The sensor is already used in labscale experiments for shake flask cultivations. BMWi/AiF project
Databáze: OpenAIRE
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