Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes

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 (1.89 105 ± 1.90 105 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.

Rapid preparation of (BiO)(2)CO3 nanosheets by microwave-assisted hydrothermal method with promising photocatalytic activity under UV-Vis light

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Por um viés estilístico: Memorial do Convento (1982) e Todos os Nomes (1997), de José Saramago

Pós-graduação em Letras - FCLAS

Elaboração de um roteiro interpretativo para trilha de ciclista da Florestal Estadual Edmundo Navarro de Andrade, Rio Claro/SP

The State Forest Edmundo Navarro de Andrade (FEENA), Rio Claro/SP has a huge potential for cyclists tracks; the Unit already have a trail at the principal entrance, passing by firebreaks bordering the towers quadrants and finishing at the municipal road. This work aims the ambiental interpretation of this trail already established and implant activities planned before at the public use program of the State Forest according to the management plan of the Unit; to interpret the tracks for mountain bike cyclists; promote the conservation of natural, historic and cultural resources of the Forest. At the present work has been accomplished the Ambiental Interpretation through the panels, containing the characteristic native flora and fauna, the existing water resources at the Unit and also the representatives individuals of the exotic arboreal species, found around the trail. Ten points were chosen for interpretation, therefore, for preparation of the script it was considered besides the bibliographic literature, experiences of project team members at FEENA, Unit Management Plan knowledge relating the gaps in the public use program and field work. The panels contain figures and texts about the chosen topics, to promote a language easily understandable to the visitor and concomitantly, inform to the population who attends the Unit, increasing this way the user satisfaction