DSpace Coleção: Artigos Técnico-científicos do Instituto de Ciências Exatas e Tecnológicas
https://locus.ufv.br//handle/123456789/11817
Artigos Técnico-científicos do Instituto de Ciências Exatas e Tecnológicas2024-03-29T06:56:45ZCocoa byproduct in diets for dairy heifers
https://locus.ufv.br//handle/123456789/24180
Título: Cocoa byproduct in diets for dairy heifers
Autor(es): Figueiredo, Mércia Regina Pereira de; Saliba, Eloisa de Oliveira Simões; Barbosa, Geraldo Sérgio Senra Carneiro; Lopes, Fernando César Ferraz; Silva, Filipe Aguiar e; Silva, Cecília Ribeiro da Mota e; Nunes, Andressa Nathalie; Figueiredo, Meliza Cristina Pereira de
Abstract: This study was conducted to evaluate the effect of substituting Tifton 85 hay (Cynodon sp. cv. Tifton 85) with levels of cocoa (Theobroma cacao) byproduct (0, 8, 16, and 24%, diet dry matter basis) in the diet of 16 Holstein × Gir heifers with an average body weight of 363.0±27.7 kg on their nutrient intake, digestibility, and protein balance. The experimental period was 17 days, and the sample collection period was five days. There was no effect of cocoa byproduct on nutrient intake.
However, the byproduct affected the digestibility of dry matter, crude protein, neutral detergent fiber, and acid detergent fiber,
all of which decreased as the level of inclusion of the byproduct in the diet was increased. Nitrogen balance was negatively
affected by the inclusion of 24% cocoa byproduct. It is recommended to use cocoa byproduct up to the level of 16% to replace
Tifton 85 grass hay in diets for dairy heifers.
Tipo: Artigo2018-01-01T00:00:00ZMagnetic carbon nanofiber networks as support for ionic liquid based catalyst
https://locus.ufv.br//handle/123456789/24171
Título: Magnetic carbon nanofiber networks as support for ionic liquid based catalyst
Autor(es): Tristão, Juliana C.; Nassor, Evelisy C. O.; Oliveira, Henrique S.; Moura, Flávia C. C.; Santos, Eduardo N. dos; Lago, Rochel M.; Araujo, Maria Helena
Abstract: In this work, the ionic liquid (IL) 1-hexyl-3-methyl-imidazolium bromide (HMIm.Br) containing Pd suspended nanoparticles was supported on a nanostructured magnetically recoverable carbon nanofiber network. The magnetic material was prepared by a simple reaction of ethanol directly with a nanostructured hematite. SEM, XRD, Mössbauer, Raman, TG/DTA, BET surface area and magnetization analyses suggested that the network is based on carbon nanofibers with carbon coated magnetic Fe nanoparticles. These magnetic networks offer a high exposed carbon fiber area, which has a good interaction with the IL to form a thin layer. Preliminary studies with a Pd dispersed in supported IL as catalyst for the hydrogenation of 1,5-cyclooctadiene showed a membrane effect, which leads to an important increase on the selective hydrogenation of 1,5-cyclooctadiene to cyclooctene.
Tipo: Artigo2015-02-01T00:00:00ZApplication of Lactobacillus paracasei LPC02 and lactulose as a potential symbiotic system in the manufacture of dry-fermented sausage
https://locus.ufv.br//handle/123456789/24162
Título: Application of Lactobacillus paracasei LPC02 and lactulose as a potential symbiotic system in the manufacture of dry-fermented sausage
Autor(es): Torres Filho, Robledo de Almeida; Coelho, Samira Reis; Lima, Ítalo Abreu; Martins, Maurilio Lopes; Benevenuto Júnior, Augusto Aloísio; Ramos, Alcinéia de Lemos Souza; Ramos, Eduardo Mendes
Abstract: The purpose of this study was to evaluate how the incorporation of the probiotic culture Lactobacillus paracasei and the prebiotic lactulose in dry-fermented sausage affects the technological, microbiological and sensorial characteristics of the products. Four formulations were analyzed: CONT (without prebiotic or probiotic); PREB (with 2% lactulose); PROB (with 108 CFU/g of L. paracasei); and SYMB (with 2% lactulose and 108 CFU/g of L. paracasei). The functional ingredients did not affect (P > 0.05) the water activity, pH, moisture, acidity and lactic acid bacteria counts during ripening process. Lower (P < 0.05) residual nitrite values were observed in sausages added with probiotic (7.20 ± 1.32 mg NO2/kg) than in the other treatments (11.38 ± 3.21 mg NO2/kg). The proximate composition and the sensorial attributes were not affected (P > 0.05) by the treatments. A mean concentration of 2.16 ± 0.39% of lactulose was observed in PREB and SYMB sausages and a count of 7.59 ± 0.37 log CFU/g of L. paracasei was observe in PROB and SYMB sausages. The incorporation of lactulose and L. paracasei into this traditional meat product resulted in a potential probiotic and symbiotic salami, adding additional nutritional benefits for the consumer.
Tipo: Artigo2019-03-01T00:00:00ZClassification of auditory selective attention using spatial coherence and modular attention index
https://locus.ufv.br//handle/123456789/24083
Título: Classification of auditory selective attention using spatial coherence and modular attention index
Autor(es): Souza, Ana Paula de; Soares, Quenaz B.; Felix, Leonardo B.; Mendes, Eduardo M. A. M.
Abstract: Brain-Computer Interfaces (BCIs) based on auditory selective attention have been receiving much attention because i) they are useful for completely paralyzed users since they do not require muscular effort or gaze and ii) focusing attention is a natural human ability. Several techniques - such as recently developed Spatial Coherence (SC) - have been proposed in order to optimize the BCI procedure. Thus, this work aims at investigating and comparing two strategies based on spatial coherence detection: contralateral and modular classifiers. The latter is a new method using modular attention index. The new classifier was developed to implement an auditory BCI where a volunteer makes binary choices using selective attention under the amplitude-modulated tones stimulation. Contralateral and modular classifiers were applied to the electroencephalogram (EEG) recorded from 144 subjects under the BCI protocol. The best set of parameters (carriers of the stimulus, channels and trials of signal) for this BCI was investigated taking into consideration the hit rate and the information transfer rate. The best result obtained using the modular classifier was a hit rate of 91.67% and information transfer rate of 6.74 bits/min using 0.5 kHz/4.0 kHz as stimuli and three windows (5.10 sec of EEG signal). These results were obtained with five electrodes (C3, P3, F8, P4, O2) using exhaustive search to identify regions with greater coherence.The modular classifier - using electroencephalogram channels from the central, frontal, occipital and parietal areas - improves the performance of auditory BCIs based on selective attention.
Tipo: Artigo2018-11-01T00:00:00Z