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A Generic Biomass Soft Sensor and its Application in Bioprocess Development

Eppendorf
6 Jul 2017

In bioprocess development, the control of biomass-specific substrate uptake rates is a valuable tool to determine the optimal supply of nutrients and/or inducers. This application note presents the development of a biomass soft sensor based on readily-available measurements and process parameters.

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Eppendorf DASGIP® Parallel Bioreactor System

Eppendorf

DASGIP Parallel Bioreactor Systems for R&D and process development in both cell culture and microbiology allow for advanced bioprocess control and automation. Parallel processing, precise control of all relevant parameters, user-defined profiles and innumerable automation features result in accelerated and highly efficient process development. Our DASware software solutions support DoE, process historians and comprehensive data management. Configurable solutions address the unique requirements of microbial, phototrophic, mammalian and human cells, stem cell applications, as well as biofuel and biopolymer processes.   Eppendorf DASGIP® Parallel Bioreactor System Features: Advanced process control and parallel operation of up to 16 glass or single-use bioreactors; DASGIP Bioblock for advanced and user-friendly temperature control; Modular design of control units allows for flexible system configurations that meet the demands of specific applications; Control of agitation, pH, level and DO (including customizable cascade modes) in each bioreactor; Variable speed pumps for accurate liquid addition and operation in batch, fed-batch, continuous and cyclic perfusion mode; Optical absorbance measurement for online calculation of e.g. OD600 or cell dry weight; TMFC individual gas mixing of air, N2, O2 and CO2; Online calculation of OTR, CTR and RQ; DASware control Software for advanced process control; Compatible with DASware Software Suite for interconnectivity and bioprocess information management. Applications: Research and development in cell culture and microbiology as well as phototrophic applications; Lab scale fermentation of aerobe and anaerobe bacteria, yeasts and fungi; Cultivation of mammalian, insect and human cell lines; Special applications such as stem cell culture or biofuel/biopolymer development.

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MicrobiologyMicrobiology is the study of microorganisms including protists, prokaryotes, fungi, and, often, viruses. Microorganisms are a useful research tool as genetic vectors and, in immunology, for antibiotic susceptibility testing, cellular biology and genetics. Microorganisms commonly grow readily in incubators with microbial culture media; this can contain chromogenic supplements to differentiate between cell lines. Estimate your culture’s density of microorganisms with colony counters, or screen and select colonies for desirable clones with automated colony pickers. Additionally, equipment is available to monitor environments for the presence of microbes and identify with microbial identification instruments. Find the best microbiology products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Molecular Recognition SoftwareMolecular recognition software is widely used to analyze DNA, RNA, proteins and chemicals. The software can be useful for graphical viewing, comparative analyses, high-throughput screening, genomics, proteomics and phylogenetics. Molecular recognition software uses bioinformatics tools and analyses such as BLAST searches and generates structural predictions, 3D structures and sequencing information.Bioprocessing / FermentationBioprocessing is the use of biological materials to perform commercial, scientific or medical research processes. Biological materials used include cells, enzymes and organisms. Usually bioprocessing requires a batch or continuous bioreactor such as a fermentor or cell culture system. The advantages of using a reactor include high productivity, easy configuration, adjustable values and automation.Software PlatformsSoftware platforms are useful for various stages of laboratory experiments from data collection to data storage and processing. For instance lab software is available for system control, data management, data analysis and qualification / validation.

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