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Eutimio Gustavo Fernández Núñez
Researcher at University of São Paulo
Publications - 41
Citations - 365
Eutimio Gustavo Fernández Núñez is an academic researcher from University of São Paulo. The author has contributed to research in topics: Biology & Sf9. The author has an hindex of 9, co-authored 33 publications receiving 253 citations. Previous affiliations of Eutimio Gustavo Fernández Núñez include Sao Paulo State University & Universidade Federal do ABC.
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Journal ArticleDOI
Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes.
Maria Beatriz Takahashi,Jaci Leme,Celso Pereira Caricati,Aldo Tonso,Eutimio Gustavo Fernández Núñez,Eutimio Gustavo Fernández Núñez,José Celso Rocha +6 more
TL;DR: The present work allows for UV–VIS sensor development, and decreases cost related to nutrients and metabolite quantifications, as well as viable cell concentration based on UV–Vis spectral data of mammalian cell bioprocess using phenol red in culture medium.
Journal ArticleDOI
Ethanol biosynthesis by fast hydrolysis of cassava bagasse using fungal amylases produced in optimized conditions
Bruna Escaramboni,Eutimio Gustavo Fernández Núñez,Ana Flávia Azevedo Carvalho,Pedro de Oliva Neto +3 more
TL;DR: In this article, a fast and inexpensive bioprocess for amylase production, able to hydrolyze complex residues in fermentable sugars to be used for ethanol production was developed.
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Artificial intelligence approach for high level production of amylase using Rhizopus microsporus var. oligosporus and different agro‐industrial wastes
Eutimio Gustavo Fernández Núñez,Augusto Cesar Barchi,Shuri Ito,Bruna Escaramboni,Rondinelli Donizetti Herculano,Cassia Roberta Malacrida Mayer,Pedro de Oliva Neto +6 more
TL;DR: In this paper, the authors aimed at definition of culture medium composition using four agro-industrial wastes (wheat bran, type II wheat flour, soybean meal and sugarcane bagasse) in solid-state fermentation of Rhizopus oligosporus, for high-level production of amylases through approaches based on artificial intelligence (AI) or response surface methodologies (RSM).
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Optimization of artificial neural network by genetic algorithm for describing viral production from uniform design data
TL;DR: The ANN optimized by the combined algorithm showed a good calibration for all UDs under consideration, thus demonstrating to be suitable as a correlation method in UDs independent of the experimental runs developed, which could guide researchers in the efficient use of UDs in the simulation and optimization of virus production processes.
Journal ArticleDOI
Influence of colloid particle profile on sentinel lymph node uptake
Eutimio Gustavo Fernández Núñez,Bluma Linkowski Faintuch,Rodrigo Teodoro,Danielle Wiecek,Jose Roberto Martinelli,Natanael G. da Silva,Claudia Castanheira,Renato Santos de Oliveira Filho,Roberto Pasqualini +8 more
TL;DR: The results are suggesting that particle size and symmetry may interfere with LN radiopharmaceutical uptake.