Laser wavelength and sample conditioning effects on biochemical monitoring of SARS-CoV-2 VLP production upstream stage by Raman spectroscopy

Autor(es)

Dias, Felipe Moura ; Rabello, Julia Publio ; Guardalini, Luis Giovani Oliveira ; Leme, Jaci ; Bernardino, Thaissa Consoni ; Pires, Lucas ; Mendonca, Marjorie ; Tonso, Aldo ; Jorge, Soraia Attie Calil ; Nunez, Eutimio Gustavo Fernandez

• Tipo de documento: Artigo Científico
• Fonte: Biochemical Engineering Journal; v. 211, p. 9-pg., 2024-08-10.

Resumo

This work assessed the impact of laser wavelength and sample conditioning on offline monitoring (viable cell density, cell viability, virus titer, glucose, lactate, glutamine, glutamate, and ammonium) of SARS-CoV-2 virus- like particles production upstream stage by Raman spectroscopy. The evaluated chemometrics techniques were Partial Least Squares (PLS) and Artificial Neural Networks (ANN), and different spectral filtering approaches were also considered. ANN showed better prediction capacity for most of the parameters, but ammonium and lactate, better predicted by PLS, and glutamine, no difference between modeling techniques was detected. For cell growth parameters and virus titer, samples without cells measured at 785 nm Raman laser wavelength originated better-adjusted models. This laser wavelength was also more appropriate for the remaining monitored experimental parameters except for glucose, in which the best model came from the spectral database acquired at 1064 nm wavelength. Cell remotion significantly increased the accuracy of viable cell density, cell viability, glutamate, and virus titer models. However, glucose, lactate, and ammonium models showed better prediction capacity for samples containing cells. Thus, it was demonstrated that laser wavelength, sample conditioning, spectral preprocessing, and chemometric modeling techniques need to be tailored for each experimental parameter to improve accuracy. (AU)

• Processo FAPESP: 23/09463-5 - Comprimento de onda do laser e condicionamento da amostra no monitoramento bioquímico por espectroscopia Raman da produção de VLP de SARS-CoV-2
• Beneficiário: Júlia Públio Rabello
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica
• Processo FAPESP: 18/10538-1 - Caracterização de antígenos recombinantes e da resposta imune para um novo candidato vacinal contra a raiva
• Beneficiário: Renato Mancini Astray
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 22/02713-3 - Estabelecimento de bioprocessos escalonáveis para produção de partículas semelhantes a vírus
• Beneficiário: Eutimio Gustavo Fernández Núñez
• Modalidade de apoio: Auxílio à Pesquisa - Projeto Inicial
• Processo FAPESP: 16/22780-6 - Produção e caracterização de VLPs de Arbovírus produzidos em sistemas de células de inseto.
• Beneficiário: Soraia Attie Calil Jorge
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 21/14451-0 - Monitoramento do bioprocesso de produção de VLP de SARS-CoV-2 por espectroscopia de infravermelho médio
• Beneficiário: Felipe Moura Dias
• Modalidade de apoio: Bolsas no Brasil - Mestrado