Managing integrated continuous bioprocesses in real time: Deviations in product quality

Author:

Grampp Gustavo1,Bosley Allen2,Qadan Maen3,Schiel John4ORCID,Spasoff Andy5,Valax Pascal6,Schaefer Gene7ORCID

Affiliation:

1. Amgen Inc. Thousand Oaks California USA

2. Purification Process Sciences, AstraZeneca Gaithersburg Maryland USA

3. Plasma Product Development, Research and Development, CSL Behring Bradley Illinois USA

4. Biomolecular Measurement Division National Institute of Standards and Technology Gaithersburg Maryland USA

5. Development Quality Biologics, AstraZeneca Gaithersburg Maryland USA

6. Merck KGaA Darmstadt Germany

7. National Institute for Innovation in Manufacturing Biopharmaceuticals Newark Delaware USA

Abstract

AbstractThe N‐mAb case study was produced by the National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) to support teaching and learning for both industry and regulators around adoption of advanced manufacturing process technologies such as integrated continuous bioprocesses (ICB) for monoclonal antibodies (mAbs). N‐mAb presents the evolution of an integrated control strategy, from early clinical through process validation and commercial manufacturing with a focus on elements that are unique to ICB. The entire N‐mAb case study is quite comprehensive, therefore this publication presents a summary of the chapter on managing deviations from a state of control in real time. This topic is of critical importance to ICB and is also applicable to batch processes operated at a rapid cadence.

Funder

National Institute of Standards and Technology

Publisher

Wiley

Subject

Biotechnology

Reference10 articles.

1. NIIMBL (National Institute for Innovation in Manufacturing Biopharmaceuticals).N‐mAb: A Case Study to Support Development and Adoption of Integrated Continuous Bioprocesses for Monoclonal Antibodies. Version 1.2022www.N-mab.org(last accessed May 23 2023)

2. Traceability of products and guide for batch definition in integrated continuous biomanufacturing

3. Modeling the Residence Time Distribution of Integrated Continuous Bioprocesses

4. The Future of CMC Regulatory Submissions: Streamlining Activities Using Structured Content and Data Management

5. Establishing a control system using QbD principles

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