Literature DB >> 27464992

Process characterization and Design Space definition.

Christian Hakemeyer1, Nathan McKnight2, Rick St John2, Steven Meier2, Melody Trexler-Schmidt2, Brian Kelley2, Frank Zettl3, Robert Puskeiler4, Annika Kleinjans3, Fred Lim2, Christine Wurth4.   

Abstract

Quality by design (QbD) is a global regulatory initiative with the goal of enhancing pharmaceutical development through the proactive design of pharmaceutical manufacturing process and controls to consistently deliver the intended performance of the product. The principles of pharmaceutical development relevant to QbD are described in the ICH guidance documents (ICHQ8-11). An integrated set of risk assessments and their related elements developed at Roche/Genentech were designed to provide an overview of product and process knowledge for the production of a recombinant monoclonal antibody (MAb). This chapter describes the tools used for the characterization and validation of MAb manufacturing process under the QbD paradigm. This comprises risk assessments for the identification of potential Critical Process Parameters (pCPPs), statistically designed experimental studies as well as studies assessing the linkage of the unit operations. Outcome of the studies is the classification of process parameters according to their criticality and the definition of appropriate acceptable ranges of operation. The process and product knowledge gained in these studies can lead to the approval of a Design Space. Additionally, the information gained in these studies are used to define the 'impact' which the manufacturing process can have on the variability of the CQAs, which is used to define the testing and monitoring strategy.
Copyright © 2016 International Alliance for Biological Standardization. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Design space; Monoclonal antibody; Process characterization; Process validation; Quality by design (QbD)

Mesh:

Substances:

Year:  2016        PMID: 27464992     DOI: 10.1016/j.biologicals.2016.06.004

Source DB:  PubMed          Journal:  Biologicals        ISSN: 1045-1056            Impact factor:   1.856


  7 in total

1.  Determination of Critical Quality Attributes for a Biotherapeutic in the QbD Paradigm: GCSF as a Case Study.

Authors:  Sumit K Singh; Deepak Kumar; Anurag S Rathore
Journal:  AAPS J       Date:  2017-09-05       Impact factor: 4.009

2.  Model Transferability and Reduced Experimental Burden in Cell Culture Process Development Facilitated by Hybrid Modeling and Intensified Design of Experiments.

Authors:  Benjamin Bayer; Mark Duerkop; Gerald Striedner; Bernhard Sissolak
Journal:  Front Bioeng Biotechnol       Date:  2021-12-23

3.  Upstream cell culture process characterization and in-process control strategy development at pandemic speed.

Authors:  Jianlin Xu; Jianfa Ou; Kyle P McHugh; Michael C Borys; Anurag Khetan
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

Review 4.  A Quality by Design Approach in Pharmaceutical Development of Non-Viral Vectors with a Focus on miRNA.

Authors:  Ioana Toma; Alina Silvia Porfire; Lucia Ruxandra Tefas; Ioana Berindan-Neagoe; Ioan Tomuță
Journal:  Pharmaceutics       Date:  2022-07-16       Impact factor: 6.525

5.  Improved Time Resolved KPI and Strain Characterization of Multiple Hosts in Shake Flasks Using Advanced Online Analytics and Data Science.

Authors:  Rüdiger W Maschke; Barbara Pretzner; Gernot T John; Christoph Herwig; Dieter Eibl
Journal:  Bioengineering (Basel)       Date:  2022-07-25

6.  Quality by Design risk assessments supporting approved antibody products.

Authors:  Brian Kelley
Journal:  MAbs       Date:  2016-09-12       Impact factor: 5.857

Review 7.  Design Space and QbD Approach for Production of Drug Nanocrystals by Wet Media Milling Techniques.

Authors:  Leena Peltonen
Journal:  Pharmaceutics       Date:  2018-07-25       Impact factor: 6.321

  7 in total

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