Data-Based Modeling and Analysis of Bioprocesses: Some Real Experiences

M. Nazmul Karim, David Hodge, Laurent Simon

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

Abstract

Data-generated models find numerous applications in areas where the speed of collection and logging of data surpasses the ability to analyze it. This work is meant to addresses some of the challenges and difficulties encountered in the practical application of these methods in an industrial setting and, more specifically, in the bioprocess industry. Neural network and principal component models are the two topics that are covered in detail in this paper. A review of these modeling technologies as applied to bioprocessing is provided, and four original case studies using industrial fermentation data are presented that utilize these models in the context of prediction and monitoring of bioprocess performance.

Original languageEnglish (US)
Pages (from-to)1591-1605
Number of pages15
JournalBiotechnology Progress
Volume19
Issue number5
DOIs
StatePublished - Sep 1 2003

All Science Journal Classification (ASJC) codes

  • Biotechnology

Fingerprint Dive into the research topics of 'Data-Based Modeling and Analysis of Bioprocesses: Some Real Experiences'. Together they form a unique fingerprint.

Cite this