Chemometrics: implementing multivariate data analysis to monitor mammalian cell culture processes

Payal Roychoudhury, Ronan O'Kennedy, Jim Faulkner, Brian McNeil, Linda M. Harvey

Research output: Contribution to journalArticle

Abstract

Biopharmaceutical companies are constantly evaluating new methods for mammalian cell line development that offer benefits such as shorter time lines, improved consistency, higher monoclonal antibody (mAb) production, better genetic stability and increased flexibility. Each of these advantages extends a potentially large cost benefit to companies as their recombinant protein products move from development into the clinic, and finally on to commercial launch1. In this context, sophisticated chemometric software packages show great potential in enhancing process knowledge and providing optimised control of these complex and challenging processes.

Original languageEnglish
Pages (from-to)15-20
Number of pages6
JournalEuropean Pharmaceutical Review
Volume18
Issue number3
Publication statusPublished - 13 Jun 2013

Keywords

  • mammalian cell line
  • multivariate data analysis
  • fault diagnosis

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