title: Comparison of viable cell concentration estimation methods for a mammalian cell cultivation process.
abstract: Various mechanistic and black-box models were applied for on-line estimations of viable cell concentrations in fed-batch cultivation processes for CHO cells. Data from six fed-batch cultivation experiments were used to identify the underlying models and further six independent data sets were used to determine the performance of the estimators. The performances were quantified by means of the root mean square error (RMSE) between the estimates and the corresponding off-line measured validation data sets. It is shown that even simple techniques based on empirical and linear model approaches provide a fairly good on-line estimation performance. Best results with respect to the validation data sets were obtained with hybrid models, multivariate linear regression technique and support vector regression. Hybrid models provide additional important information about the specific cellular growth rates during the cultivation.
authors.affiliation: Institute of Biochemistry and Biotechnology, Martin-Luther-University Halle-Wittenberg, Weinbergweg 22, 06120, Halle (Saale), Germany.
authors.forename: M
authors.initials: M
authors.lastname: Aehle
authors.forename: R
authors.initials: R
authors.lastname: Simutis
authors.forename: A
authors.initials: A
authors.lastname: Lübbert
references.citation: Adv Biochem Eng Biotechnol. 2006;101:43-74
references.pmid: 16989257
references.citation: Cytotechnology. 2006 May;51(1):39-44
references.pmid: 19002893
references.citation: Curr Opin Biotechnol. 2001 Apr;12(2):180-7
references.pmid: 11287235
references.citation: Biotechnol Bioeng. 2001 Mar 5;72(5):515-22
references.pmid: 11460241
references.citation: Cytotechnology. 2002 Jan;38(1-3):119-27
references.pmid: 19003093
references.citation: Biotechnol Bioeng. 1996 Jul 20;51(2):206-14
references.pmid: 18624330
references.citation: Biotechnol Bioeng. 2006 Oct 5;95(2):226-261
references.pmid: 16933288
references.citation: Biotechnol Bioeng. 2003 Dec 5;84(5):597-610
references.pmid: 14574694
references.citation: Biotechnol Prog. 1995 Jan-Feb;11(1):1-13
references.pmid: 7765983
references.citation: Biotechnol Bioeng. 1996 Feb 5;49(3):277-83
references.pmid: 18623578
references.citation: Biotechnol Bioeng. 2000 Mar 20;67(6):636-44
references.pmid: 10699846
references.citation: Cytotechnology. 2002 Jan;38(1-3):129-34
references.pmid: 19003094
references.citation: Bioprocess Biosyst Eng. 2006 Jun;29(1):19-27
references.pmid: 16502002
references.citation: Biotechnol Bioeng. 2009 Mar 1;102(4):1098-106
references.pmid: 18853411
references.citation: Glycobiology. 2009 Sep;19(9):936-49
references.pmid: 19494347
references.citation: Nat Biotechnol. 2006 Jul;24(7):769-76
references.pmid: 16841057
references.citation: J Biotechnol. 2001 Feb 13;85(2):149-73
references.pmid: 11165361
references.citation: Cytotechnology. 1994;14(3):157-65
references.pmid: 7765586
references.citation: Biotechnol Bioeng. 1992 Dec 20;40(11):1337-42
references.pmid: 18601089
references.citation: Biotechnol Bioeng. 1995 Jan 5;45(1):42-53
references.pmid: 18623050