[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Wechselberger et al., 2010 - Google Patents

PAT method to gather bioprocess parameters in real-time using simple input variables and first principle relationships

Wechselberger et al., 2010

Document ID
14393028560535515383
Author
Wechselberger P
Seifert A
Herwig C
Publication year
Publication venue
Chemical Engineering Science

External Links

Snippet

The efficient quantification of bioprocess parameters is of high importance for strain characterization and process development. Here, we present a method, which allows the quantification of the specific growth rate, the specific substrate uptake rate and the growth …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/048Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated

Similar Documents

Publication Publication Date Title
Wechselberger et al. PAT method to gather bioprocess parameters in real-time using simple input variables and first principle relationships
Wechselberger et al. Real-time estimation of biomass and specific growth rate in physiologically variable recombinant fed-batch processes
JP7554774B2 (en) Methods and means for optimizing biotechnological production - Patents.com
Sagmeister et al. Soft sensor assisted dynamic bioprocess control: Efficient tools for bioprocess development
Ündey et al. Applied advanced process analytics in biopharmaceutical manufacturing: Challenges and prospects in real-time monitoring and control
Gnoth et al. Control of cultivation processes for recombinant protein production: a review
US20120003623A1 (en) Nonlinear model predictive control of a batch reaction system
Ifrim et al. Multivariable feedback linearizing control of Chlamydomonas reinhardtii photoautotrophic growth process in a torus photobioreactor
Ohadi et al. Development of a soft‐sensor based on multi‐wavelength fluorescence spectroscopy and a dynamic metabolic model for monitoring mammalian cell cultures
Urniezius et al. Generic estimator of biomass concentration for Escherichia coli and Saccharomyces cerevisiae fed-batch cultures based on cumulative oxygen consumption rate
Ulonska et al. Model predictive control in comparison to elemental balance control in an E. coli fed-batch
Schuler et al. Investigation of the potential of biocalorimetry as a process analytical technology (PAT) tool for monitoring and control of Crabtree-negative yeast cultures
Kozma et al. Comparison of multivariate data analysis techniques to improve glucose concentration prediction in mammalian cell cultivations by Raman spectroscopy
Yousefi-Darani et al. Model-based calibration of a gas sensor array for on-line monitoring of ethanol concentration in Saccharomyces cerevisiae batch cultivation
US11603517B2 (en) Method for monitoring a biotechnological process
Brunner et al. Biomass soft sensor for a Pichia pastoris fed‐batch process based on phase detection and hybrid modeling
Golabgir et al. Observability analysis of biochemical process models as a valuable tool for the development of mechanistic soft sensors
Kemmer et al. Nonlinear state estimation as tool for online monitoring and adaptive feed in high throughput cultivations
Kim et al. Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli
Müller et al. Simultaneous real-time estimation of maximum substrate uptake capacity and yield coefficient in induced microbial cultures
Reichelt et al. Generic biomass estimation methods targeting physiologic process control in induced bacterial cultures
Wechselberger et al. Model‐based analysis on the relationship of signal quality to real‐time extraction of information in bioprocesses
Steinwandter et al. Propagation of measurement accuracy to biomass soft-sensor estimation and control quality
Craven et al. Process analytical technology and quality-by-design for animal cell culture
Gorrini et al. Reaction rate estimation and model predictive control of hybridoma cell cultures