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Christoph Busse

Researcher at Leibniz University of Hanover

Publications -  5
Citations -  199

Christoph Busse is an academic researcher from Leibniz University of Hanover. The author has contributed to research in topics: Process analytical technology & Bioprocess. The author has an hindex of 3, co-authored 5 publications receiving 149 citations.

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Sensor systems for bioprocess monitoring

TL;DR: In this paper, the authors provide an overview of current and emerging sensors for bioprocess monitoring and control, including sensors directly interfaced to bioreactors for measuring important variables from the gas phase, such as oxygen and carbon dioxide concentration, and sensors for the monitoring of the biomass concentration and morphology and of the changing medium composition.
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Sensors for disposable bioreactors

TL;DR: An overview of current and emerging sensors for single‐use bioreactors, organized by the type of interface of the sensor systems to the bioreactor, with a major focus on non‐invasive, in‐situ sensors that are based on electromagnetic, semiconducting, optical, or ultrasonic measurements.
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Polysialic acid production using Escherichia coli K1 in a disposable bag reactor

TL;DR: Investigation of stress‐related product release from the cell surface showed no significant differences between the disposable bag reactor with wave‐induced mixing and the stirred tank reactor, and efficient and time‐saving downstream processing characterization of the final product showed a protein content below 0.04 mgprotein/gpolySia and a maximal chain length of ∼90 degree of polymerization.
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A novel measuring chamber and automation platform for mammalian cell culture processes

TL;DR: The here presented measuring chamber, combined with an automation platform enable an accelerated integration of PAT during all stages of process development for any reactor type.
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Online monitoring of the cell-specific oxygen uptake rate with an in situ combi-sensor

TL;DR: The ISICOM is an in situ combi-sensor that is measuring the cell-specific oxygen uptake rate (qOUR) online and contributes to a higher process understanding by offering an online view on to the cell behavior.