title: Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes.
abstract: Currently, mammalian cells are the most utilized hosts for biopharmaceutical production. The culture media for these cell lines include commonly in their composition a pH indicator. Spectroscopic techniques are used for biopharmaceutical process monitoring, among them, UV-Vis spectroscopy has found scarce applications. This work aimed to define artificial neural networks architecture and fit its parameters to predict some nutrients and metabolites, as well as viable cell concentration based on UV-Vis spectral data of mammalian cell bioprocess using phenol red in culture medium. The BHK-21 cell line was used as a mammalian cell model. Off-line spectra of supernatant samples taken from batches performed at different dissolved oxygen concentrations in two bioreactor configurations and with two pH control strategies were used to define two artificial neural networks. According to absolute errors, glutamine (0.13 ± 0.14 mM), glutamate (0.02 ± 0.02 mM), glucose (1.11 ± 1.70 mM), lactate (0.84 ± 0.68 mM) and viable cell concentrations (1.89 10(5) ± 1.90 10(5) cell/mL) were suitably predicted. The prediction error averages for monitored variables were lower than those previously reported using different spectroscopic techniques in combination with partial least squares or artificial neural network. The present work allows for UV-VIS sensor development, and decreases cost related to nutrients and metabolite quantifications.
authors.affiliation: Departamento de Ciências Biológicas, Universidade Estadual Paulista "Júlio de Mesquita Filho" Campus-Assis, Avenida Dom Antonio 2100, Assis, SP, 19806-900, Brazil.
authors.forename: Maria Beatriz
authors.initials: MB
authors.lastname: Takahashi
authors.forename: Jaci
authors.initials: J
authors.lastname: Leme
authors.forename: Celso Pereira
authors.initials: CP
authors.lastname: Caricati
authors.forename: Aldo
authors.initials: A
authors.lastname: Tonso
authors.forename: Eutimio Gustavo
authors.initials: EG
authors.lastname: Fernández Núñez
authors.forename: José Celso
authors.initials: JC
authors.lastname: Rocha
mesh_terms: D000818:Animals; D001688:Biological Products; D019149:Bioreactors; D002460:Cell Line; D006224:Cricetinae; D003470:Culture Media; D006863:Hydrogen-Ion Concentration; D016571:Neural Networks, Computer; D013056:Spectrophotometry, Ultraviolet / Q000379:methods*
chemical_list: D001688:Biological Products; D003470:Culture Media