An Integrated Downstream Process Development Strategy along QbD Principles

The development, optimization, and analysis of downstream processes are challenged by a high number of potentially critical process parameters that need to be investigated using lab-scale experiments. These process parameters are spread across multiple unit operations and potentially show interactio...

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Main Authors: Andrea Meitz, Patrick Sagmeister, Timo Langemann, Christoph Herwig
Format: Article
Language:English
Published: MDPI AG 2014-10-01
Series:Bioengineering
Subjects:
Online Access:http://www.mdpi.com/2306-5354/1/4/213
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spelling doaj-a89f4ff3b42142259bed9d19f5b586c22020-11-25T02:32:53ZengMDPI AGBioengineering2306-53542014-10-011421323010.3390/bioengineering1040213bioengineering1040213An Integrated Downstream Process Development Strategy along QbD PrinciplesAndrea Meitz0Patrick Sagmeister1Timo Langemann2Christoph Herwig3Research Center of Pharmaceutical Engineering GmbH, Inffeldgasse 13, 8010 Graz, AustriaInstitute of Biochemical Engineering, Vienna University of Technology, Gumpendorferstrasse 1A/166-4, 1060 Vienna, AustriaResearch Center of Pharmaceutical Engineering GmbH, Inffeldgasse 13, 8010 Graz, AustriaInstitute of Biochemical Engineering, Vienna University of Technology, Gumpendorferstrasse 1A/166-4, 1060 Vienna, AustriaThe development, optimization, and analysis of downstream processes are challenged by a high number of potentially critical process parameters that need to be investigated using lab-scale experiments. These process parameters are spread across multiple unit operations and potentially show interactions across unit operations. In this contribution, we present a novel strategy for bioprocess development that considers the risk of parameter interactions across unit operations for efficient experimental design. A novel risk assessment tool (interaction matrix) is introduced to the Quality by Design (QbD) workflow. Using this tool, the risk of interaction across unit operations is rated. Subsequently, a design of experiments (DoE) across unit operations is conducted that has the power to reveal multivariate interdependencies. The power of the presented strategy is demonstrated for protein isolation steps of an inclusion body process, focusing on the quality attribute inclusion body purity. The concentration of Triton X-100 in the course of inclusion body (IB) purification was shown to interact with the g-number of the subsequent centrifugation step. The presented strategy targets a holistic view on the process and allows handling of a high number of experimental parameters across unit operations using minimal experimental effort. It is generically applicable for process development along QbD principles.http://www.mdpi.com/2306-5354/1/4/213quality by designprocess developmentinteraction across unit operationsdesign of experimentsrisk assessmentinclusion body purity
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Meitz
Patrick Sagmeister
Timo Langemann
Christoph Herwig
spellingShingle Andrea Meitz
Patrick Sagmeister
Timo Langemann
Christoph Herwig
An Integrated Downstream Process Development Strategy along QbD Principles
Bioengineering
quality by design
process development
interaction across unit operations
design of experiments
risk assessment
inclusion body purity
author_facet Andrea Meitz
Patrick Sagmeister
Timo Langemann
Christoph Herwig
author_sort Andrea Meitz
title An Integrated Downstream Process Development Strategy along QbD Principles
title_short An Integrated Downstream Process Development Strategy along QbD Principles
title_full An Integrated Downstream Process Development Strategy along QbD Principles
title_fullStr An Integrated Downstream Process Development Strategy along QbD Principles
title_full_unstemmed An Integrated Downstream Process Development Strategy along QbD Principles
title_sort integrated downstream process development strategy along qbd principles
publisher MDPI AG
series Bioengineering
issn 2306-5354
publishDate 2014-10-01
description The development, optimization, and analysis of downstream processes are challenged by a high number of potentially critical process parameters that need to be investigated using lab-scale experiments. These process parameters are spread across multiple unit operations and potentially show interactions across unit operations. In this contribution, we present a novel strategy for bioprocess development that considers the risk of parameter interactions across unit operations for efficient experimental design. A novel risk assessment tool (interaction matrix) is introduced to the Quality by Design (QbD) workflow. Using this tool, the risk of interaction across unit operations is rated. Subsequently, a design of experiments (DoE) across unit operations is conducted that has the power to reveal multivariate interdependencies. The power of the presented strategy is demonstrated for protein isolation steps of an inclusion body process, focusing on the quality attribute inclusion body purity. The concentration of Triton X-100 in the course of inclusion body (IB) purification was shown to interact with the g-number of the subsequent centrifugation step. The presented strategy targets a holistic view on the process and allows handling of a high number of experimental parameters across unit operations using minimal experimental effort. It is generically applicable for process development along QbD principles.
topic quality by design
process development
interaction across unit operations
design of experiments
risk assessment
inclusion body purity
url http://www.mdpi.com/2306-5354/1/4/213
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