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Titlebook: Biopharmaceutical Manufacturing; Progress, Trends and Ralf Pörtner Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

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楼主: McKinley
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Biopharma 4.0 for Biologics Manufacturing Under Pandemic Constraintsnufacturing processes. Qualified operators are the rare resource bottleneck to guarantee product quality. Therefore, continuous biomanufacturing as well as the consequent application of the quality by design approachare key-enablers towards biopharma 4.0.
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Towards a Continuous Production of Human Mesenchymal Stromal Cells in a Chemically Defined Medium: Ose of umbilical cord hMSCs and their manufacturing thereby focusing on the cell expansion, the use of chemically defined media, design-of-experiment (DoE) approaches for process development and intensified bioreactor processes.
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Karin Kunzi-Rapp,Rudolf Steineriscusses the most important advantages and existing limitations of the single-use systems currently available on the market. Subsequently, the current state of development of single-use technology is presented on the basis of selected product examples. The focus is on the upstream area and single-us
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Vascular Lesions: Port Wine Stains can be beneficial for optimizing bioprocesses in real-time. Overall, recent advancements in sensor technology can help in improving the efficiency and effectiveness of bioprocessing. The integration of advanced sensing technologies, and machine learning can provide valuable insights and improve the
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https://doi.org/10.1007/978-3-642-95780-2rt in numerical flow simulation is discussed, using aerated stirred tank reactors as an example to illustrate the challenges and opportunities offered by numerical flow simulation. It is highlighted that the methods described are specifically focused on cell culture applications, which have lower sp
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Diode-Laser Sensors for In-Situ Gas Analysis this space and discuss how those can assist systematic and proactive decision-making throughout stages of process development, design and optimization, and supply chain planning for ATMPs. We propose an integrated computational framework for process design and optimization and conclude with its dem
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