Optimized Continuous Multicolumn Chromatography Enables Increased Productivities and Cost Savings by Employing More Columns.


Journal

Biotechnology journal
ISSN: 1860-7314
Titre abrégé: Biotechnol J
Pays: Germany
ID NLM: 101265833

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 07 04 2018
revised: 04 10 2018
pubmed: 24 10 2018
medline: 4 6 2019
entrez: 24 10 2018
Statut: ppublish

Résumé

The advantages of continuous chromatography with respect to increased capacity are well established. However, the impact of different loading scenarios and total number of columns on the process economics has not been addressed. Here four different continuous multicolumn chromatography (MCC) loading scenarios are evaluated for process performance and economics in the context of a Protein A mAb capture step. To do so, a computational chromatography model is validated experimentally. The model is then used to predict process performance for each of the loading methods. A wide range of feed concentrations and residence times are considered, and the responses of operating binding capacity, specific productivity, and the number of process columns are calculated. Processes that are able to add more columns proved to be up to 65% more productive, especially at feed concentrations above 5 g L

Identifiants

pubmed: 30350920
doi: 10.1002/biot.201800179
doi:

Substances chimiques

Staphylococcal Protein A 0

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1800179

Informations de copyright

© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Auteurs

Mark Pagkaliwangan (M)

Pall Biotech, 20 Walkup Drive, Westborough, MA 01581, USA.

Jonathan Hummel (J)

Pall Biotech, 20 Walkup Drive, Westborough, MA 01581, USA.

Xhorxhi Gjoka (X)

Pall Biotech, 20 Walkup Drive, Westborough, MA 01581, USA.

Marc Bisschops (M)

Pall Biotech, 20 Walkup Drive, Westborough, MA 01581, USA.

Mark Schofield (M)

Pall Biotech, 20 Walkup Drive, Westborough, MA 01581, USA.

Articles similaires

Humans Meta-Analysis as Topic Sample Size Models, Statistical Computer Simulation
Humans Algorithms Software Artificial Intelligence Computer Simulation
Humans Robotic Surgical Procedures Clinical Competence Male Female

A computational model for bacteriophage ϕX174 gene expression.

Alexis M Hill, Tanvi A Ingle, Claus O Wilke
1.00
Gene Expression Regulation, Viral Promoter Regions, Genetic Bacteriophage phi X 174 Computer Simulation Models, Genetic

Classifications MeSH