Cell Viability in Real Time

Demuth, Caspar; Poggendorf, Iris; Lüthi, Ruma; Frank, Marlene; McNeel, Kelsey E.

doi:10.1089/gen.36.12.13

Cited by 3 publications

(1 citation statement)

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“…The investigations showed a very high correlation between online and offline measurements, therefore proving that it is possible to analyze viable cell density of mammalian cells on microcarriers in real-time. [22] In another project in collaboration with the Institute for Bioprocessing and Analytical Measurement Techniques (Heiligenstadt, Germany), dielectric spectroscopy was used to monitor the growth of hairy root cultures (Fig. 9).…”

Section: Environmentalmentioning

confidence: 99%

Analytical Platforms at Swiss Universities of Applied Sciences

Berchtold

Bourgeois

Christen

et al. 2020

Chimia

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Numerous projects and industrial and academic collaborations benefit from state-of-the-art facilities and expertise in analytical chemistry available at the Swiss Universities of Applied Sciences. This review summarizes areas of expertise in analytical sciences at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), the University of Applied Sciences and Arts Western Switzerland (HES-SO), and the Zurich University of Applied Sciences (ZHAW). We briefly discuss selected projects in different fields of analytical sciences

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Section: Environmentalmentioning

confidence: 99%

Analytical Platforms at Swiss Universities of Applied Sciences

Berchtold

Bourgeois

Christen

et al. 2020

Chimia

Self Cite

View full text Add to dashboard Cite

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Technology outlook for real‐time quality attribute and process parameter monitoring in biopharmaceutical development—A review

Wasalathanthri

Rehmann

Song

et al. 2020

Biotech & Bioengineering

108

101

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Real‐time monitoring of bioprocesses by the integration of analytics at critical unit operations is one of the paramount necessities for quality by design manufacturing and real‐time release (RTR) of biopharmaceuticals. A well‐defined process analytical technology (PAT) roadmap enables the monitoring of critical process parameters and quality attributes at appropriate unit operations to develop an analytical paradigm that is capable of providing real‐time data. We believe a comprehensive PAT roadmap should entail not only integration of analytical tools into the bioprocess but also should address automated‐data piping, analysis, aggregation, visualization, and smart utility of data for advanced‐data analytics such as machine and deep learning for holistic process understanding. In this review, we discuss a broad spectrum of PAT technologies spanning from vibrational spectroscopy, multivariate data analysis, multiattribute chromatography, mass spectrometry, sensors, and automated‐sampling technologies. We also provide insights, based on our experience in clinical and commercial manufacturing, into data automation, data visualization, and smart utility of data for advanced‐analytics in PAT. This review is catered for a broad audience, including those new to the field to those well versed in applying these technologies. The article is also intended to give some insight into the strategies we have undertaken to implement PAT tools in biologics process development with the vision of realizing RTR testing in biomanufacturing and to meet regulatory expectations.

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