4 resultados para Bandas de replicação

em Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT)


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Starch has properties that make it one of the most studied biopolymers today. It is biodegradable, biocompatible, stable and non-toxic. This work has synthesis of starch and tapioca microparticles, through chemical modification by crosslinking with sodium tripolyphosphate agent in concentrations 7.5 and 15% (m / m). The amylose content was measured for starch and commercial cassava starch at 21.8% and 28.6%, respectively. According to the solubility index, processing in basic medium does not change the solubility of the material, but the addition of crosslinking agent increases this index, which changed from 12.8% for the control unprocessed, to 22.4% for the A5R15 sample. Soluble starch-based materials had a significant increase in the crosslinking density by increasing the concentration of crosslinker, from 1.4 in A5R7,5 sample, to 1.9 in A5R15. The cassava starch-based materials exhibited an opposite behavior: to increase the concentration of crosslinker crosslinking density decreased significantly in F5R7.5 from 2.9, to 1.9 in F5R15 sample. The point of zero charge (PZC) shows that below pH 4 the surface is positively charged. The surface area data is between 3,04 and 1,15 m2.g-1. The pore volume between 2.94 and 1.33 cm3.g-1 and pore size around 1.5 nm. The SEM indicates uneven distribution of microparticles, which are smooth, with no ridges. The maximum adsorption capacity of the materials were tested at pH 7.7 and for A5R15 and CA sample, at pH 2, 5, 6 and 9. It is noted that the processing in basic medium reduces the adsorption capacity of CA and CF in respect fo A and F. The adsorption in A5R15 sample has great dependency on the pH, reaching a value of 587 μg.g-1 in pH 7.7. The samples A5R15 and F5R7,5 adsorbed similar amounts, according to the statistical analysis, and significantly higher than their respective controls and showed lower desorption, indicating that the modification process was effective to control the release of methylene blue. The infrared spectra not show the characteristic bands of the phosphate bonds to the material formed, however, developments in hydroxyl characteristic band suggest modification in the way this group was linked after the reaction. After adsorption, the infrared spectra show different format in the band of hydroxyl. PCA analysis shows that the greatest changes observed in the IR spectra are observed in the region of 3500 cm-1. Thermal analysis showed three thermal events related to dehydration and material degradation. It is observed that the processing increases the temperature to the first mass loss, fixed at 12%, but not observed increased stability due to the presence of crosslinker or process.

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Lasiodiplodan is an exocellular β-glucan with biological functionalities such as antioxidant, antiproliferative, hypocholesterolemic, protective activity against DNA damage induced by doxorubicin and hypoglycemic activity. Chemical derivatization of polysaccharide macromolecules has been considered as a potentiating mechanism for bioactivity. In this context, this work proposes the derivatization of lasiodiplodan by acetylation. Acetic anhydride was used as derivatizing agent and pyridine as catalyst and reaction medium. The derivatives obtained were evaluated by its water solubility, degree of substitution (DS), antioxidant potential, and characterized by infrared spectroscopy (FT-IR), thermal analysis, differential scanning calorimetry, X-ray diffraction and scanning electron microscopy. Acetylated derivatives with different degrees of substitution (1.26; 1.03; 0.66 and 0.48) were obtained, and there was correlation between the concentration of derivatizing agent and DS. FT-IR spectroscopy analysis confirmed the insertion of acetyl groups into derivatized macromolecules (LAS-AC) through of specific bands concerning to carbonyl group (C = O) and increase in C-O vibration. SEM analysis indicated that native lasiodiplodan presents morphological structure in the form of thin films with translucent appearance and folds along its length. Derivatization led to morphological changes in the polymer, including aspects thickness, translucency and agglomeration. Thermal analysis indicated the native sample and derivative with DS 0.48 presented three weight loss stages. The first stage occurred until 125 ° C (loss of water) and there were two consecutive events of weight loss (200 ° C - 400 ° C) attributed to molecule degradation. Samples with DS 1.26; 1.03 and 0.66 demonstrated four weight loss stages. The first stage occurred until 130 ° C (loss of water), following by two consecutive events of weight loss (200 ° C - 392 ° C) attributed to degradation of the biopolymer. The fourth stage was between 381 ° C and 532 ° C (final decomposition) with exothermic peaks between 472 ° C and 491 ° C. X-ray diffraction patterns showed that native and acetylated lasiodiplodan have amorphous structure with semicrystalline regions. Derivatization did not contribute to increased solubility of the macromolecule, but potentiated its antioxidant capacity. Acetylation of lasiodiplodan allowed to obtaining a new macromolecule with higher antioxidant potential than the native molecule and with technological properties applicable in various industrial sectors.

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In this research work, a new routing protocol for Opportunistic Networks is presented. The proposed protocol is called PSONET (PSO for Opportunistic Networks) since the proposal uses a hybrid system composed of a Particle Swarm Optimization algorithm (PSO). The main motivation for using the PSO is to take advantage of its search based on individuals and their learning adaptation. The PSONET uses the Particle Swarm Optimization technique to drive the network traffic through of a good subset of forwarders messages. The PSONET analyzes network communication conditions, detecting whether each node has sparse or dense connections and thus make better decisions about routing messages. The PSONET protocol is compared with the Epidemic and PROPHET protocols in three different scenarios of mobility: a mobility model based in activities, which simulates the everyday life of people in their work activities, leisure and rest; a mobility model based on a community of people, which simulates a group of people in their communities, which eventually will contact other people who may or may not be part of your community, to exchange information; and a random mobility pattern, which simulates a scenario divided into communities where people choose a destination at random, and based on the restriction map, move to this destination using the shortest path. The simulation results, obtained through The ONE simulator, show that in scenarios where the mobility model based on a community of people and also where the mobility model is random, the PSONET protocol achieves a higher messages delivery rate and a lower replication messages compared with the Epidemic and PROPHET protocols.

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Social networks rely on concepts such as collaboration, cooperation, replication, flow, speed, interaction, engagement, and aim the continuous sharing and resharing of information in support of the permanent social interaction. Facebook, the largest social network in the world, reached, in May 2016, the mark of 1.09 billion active users daily, draining 161.7 million hours of users’ attention to the website every day. These users share 4.75 billion units of content daily. The research presented in this dissertation aims to investigate the management of knowledge and collective intelligence, from the introduction of mechanisms that aim to enable users to manage and organize current information in the feeds from Facebook groups in which they participate, turning Facebook into a collective knowledge and information management device that goes far beyond mere interaction and communication among people. The adoption of Design Science Research methodology is intended to instill the "genes" of collective intelligence, as presented in the literature, in the computational artifact being developed, so that intelligence can be managed and used to create even more knowledge and intelligence to and by the group. The main theoretical contribution of this dissertation is to discuss knowledge management and collective intelligence in a complementary and integrated manner, showing how efforts to obtain one also contribute to leveraging the other.