Otro
A Multivariate Calibration Procedure for UV/VIS Spectrometric Monitoring of BHK-21 Cell Metabolism and Growth
Registro en:
Biotechnology Progress. Hoboken: Wiley-blackwell, v. 30, n. 1, p. 241-248, 2014.
8756-7938
10.1002/btpr.1847
WOS:000331385800026
Autor
Leme, Jaci
Fernández Núñez, Eutimio Gustavo
Parizotto, Leticia de Almeida
Chagas, Wagner Antonio
Santos, Erica Salla dos
Prestia Caricati, Aline Tojeira
Rezende, Alexandre Goncalves de
Vale da Costa, Bruno Labate
Ventini Monteiro, Daniela Cristina
Lopes Boldorini, Vera Lucia
Calil Jorge, Soraia Attie
Astray, Renato Mancini
Pereira, Carlos Augusto
Caricati, Celso Pereira
Tonso, Aldo
Resumen
Monitoring mammalian cell culture with UV-vis spectroscopy has not been widely explored. The aim of this work was to calibrate Partial Least Squares (PLS) models from off-line UV-vis spectral data in order to predict some nutrients and metabolites, as well as viable cell concentrations for mammalian cell bioprocess using phenol red in culture medium. The BHK-21 cell line was used as a mammalian cell model. Spectra of samples taken from batches performed at different dissolved oxygen concentrations (10, 30, 50, and 70% air saturation), in two bioreactor configurations and with two strategies to control pH were used to calibrate and validate PLS models. Glutamine, glutamate, glucose, and lactate concentrations were suitably predicted by means of this strategy. Especially for glutamine and glucose concentrations, the prediction error averages were lower than 0.50 +/- 0.10 mM and 2.21 +/- 0.16 mM, respectively. These values are comparable with those previously reported using near infrared and Raman spectroscopy in conjunction with PLS. However, viable cell concentration models need to be improved. The present work allows for UV-vis at-line sensor development, decrease cost related to nutrients and metabolite quantifications and establishment of fed-batch feeding schemes. (c) 2013 American Institute of Chemical Engineers Biotechnol. Prog., 30:241-248, 2014 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)