A multivariate calibration procedure for UV/VIS spectrometric monitoring
of BHK-21 cell metabolism and growth
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. © 2013 American
Institute of Chemical Engineers Biotechnol.
Prog., 30:241–248, 2014
