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An NIR‐based PAT approach for real‐time control of loading in Protein A chromatography in continuous manufacturing of monoclonal antibodies

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Continuous Downstream Processing for Production of Biotech Therapeutics

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Continuous precipitation of process related impurities from clarified cell culture supernatant using a novel coiled flow inversion reactor (CFIR)

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Real‐time monitoring and control of the load phase of a protein A capture step

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Evolving trends in mAb production processes

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Integrated continuous processing of proteins expressed as inclusion bodies: GCSF as a case study

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Design and control of integrated chromatography column sequences

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White Paper on Continuous Bioprocessing May 20–21 2014 Continuous Manufacturing Symposium

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Definition and dynamic control of a continuous chromatography process independent of cell culture titer and impurities

inferredcites →https://doi.org/10.1016/j.jbiotec.2015.06.393openalex-snapshot

End-to-end integrated fully continuous production of recombinant monoclonal antibodies

inferredcites →https://doi.org/10.1016/j.jbiotec.2017.01.020openalex-snapshot

Shear contributions to cell culture performance and product recovery in ATF and TFF perfusion systems

inferredcites →https://doi.org/10.1016/j.jchromb.2006.09.030openalex-snapshot

Protein A chromatography for antibody purification

inferredcites →https://doi.org/10.1016/j.tibtech.2013.05.011openalex-snapshot

Continuous downstream processing of biopharmaceuticals

inferredcites →https://doi.org/10.1016/s0021-9673(99)00539-7openalex-snapshot

Real-time control of antibody loading during protein A affinity chromatography using an on-line assay

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Quality by design for biopharmaceuticals

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Quality by Design in Biopharmaceuticals

inferredcites →https://doi.org/10.4161/mabs.2.5.12720openalex-snapshot

Cell culture processes for monoclonal antibody production

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Comparison of UV‐ and Raman‐based monitoring of the Protein A load phase and evaluation of data fusion by PLS models and CNNs

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Machine learning approaches to root cause analysis, characterization, and monitoring of subvisible particles in monoclonal antibody formulations

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