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    <title>DSpace Coleção:</title>
    <link>https://repositorio.ufms.br/handle/123456789/6405</link>
    <description />
    <pubDate>Wed, 06 May 2026 10:40:20 GMT</pubDate>
    <dc:date>2026-05-06T10:40:20Z</dc:date>
    <item>
      <title>Avaliação preliminar das operações de extração de Calycophyllum multiflorum e secagem para obtenção do extrato seco para produção de fitoterápicos</title>
      <link>https://repositorio.ufms.br/handle/123456789/14366</link>
      <description>Título: Avaliação preliminar das operações de extração de Calycophyllum multiflorum e secagem para obtenção do extrato seco para produção de fitoterápicos
Abstract: The growing global concern about antimicrobial resistance promotes research into new&#xD;
active compounds used to overcome the adaptability of multi-resistant bacteria, with&#xD;
nature being a source of diverse alternatives with adjuvant properties for the development&#xD;
of new herbal medicines. A previous study by the PRONABIO - INQUI- UFMS research&#xD;
group revealed that Calycophyllum multiflorum leaf extract showed synergism in&#xD;
combination with the antibiotics ampicillin and ciprofloxacin against resistant strains of&#xD;
Staphylococcus aureus, S. pseudointermedius, Enterococcus faecium, Pseudomonas&#xD;
aeruginosa and Acinetobacter baumannii. Therefore, the objective of this work was to&#xD;
carry out a bibliographical review of the main unit extraction and drying operations used&#xD;
in the industrial process of obtaining the dry extract for the production of a new herbal&#xD;
medicine or antibiotic adjuvant agent. In this sense, the most used and viable techniques&#xD;
in the production of dry extracts of natural products were evaluated and a proposal for the&#xD;
flow of the complete production process was presented. The extraction technique&#xD;
evaluated was percolation, as it is the main method used for thermosensitive substances,&#xD;
is low cost, easy to implement and capable of extracting large quantities of product.&#xD;
Furthermore, Percolation extraction has ethanol as the main organic solvent used, as it is&#xD;
easily recovered in later stages and can extract polar and non-polar molecules, generating&#xD;
lower costs. For drying, the spray drying operation was evaluated, defined as the main&#xD;
technique as it is used for temperature-sensitive products, guarantees stability of the dry&#xD;
extract and is a quick operation. For drying by spray drying, the use of a drying adjuvant&#xD;
was analyzed, highlighting colloidal silicon dioxide, which favors the concentration of&#xD;
solids and increases drying efficiency. Furthermore, a pre-drying operation was examined&#xD;
to increase the solids content for better process performance, thus highlighting the falling&#xD;
film evaporator, which allows the evaporation of heat-sensitive products. Based on the&#xD;
literature review, this work can be used as a basis for more advanced studies on the&#xD;
development of new herbal medicines.
Tipo: Trabalho de Conclusão de Curso</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufms.br/handle/123456789/14366</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Análise Comparativa das Rotas de Reforma a Seco e a Vapor do Biogás via Simulação em DWSIM</title>
      <link>https://repositorio.ufms.br/handle/123456789/14265</link>
      <description>Título: Análise Comparativa das Rotas de Reforma a Seco e a Vapor do Biogás via Simulação em DWSIM
Abstract: The growing demand for sustainable energy sources has driven the development of&#xD;
technologies that valorize the processing of organic waste, such as biogas. This work aims&#xD;
to conduct a comparative study between two major thermochemical conversion routes of&#xD;
biogas into synthesis gas: dry reforming and steam reforming. The biogas used was&#xD;
simulated with a typical composition of 70% CH₄ and 30% CO₂, following a purification step.&#xD;
Simulations were carried out using the DWSIM software and the Peng-Robinson&#xD;
thermodynamic model, through a process flow that includes a mixer, heater, heat&#xD;
exchanger, equilibrium reactor, and separator. The methodology analyzed the influence of&#xD;
temperature (550 °C to 900 °C) on reagent conversion and syngas composition, as well as&#xD;
the effect of energy integration between process streams. Results showed that steam&#xD;
reforming offers higher H₂ yield and H₂/CO ratio, which is suitable for hydrogen production.&#xD;
In contrast, dry reforming is advantageous due to its simultaneous consumption of CH₄ and&#xD;
CO₂, contributing to the reduction of greenhouse gases and producing an H₂/CO ratio near&#xD;
1, ideal for Fischer-Tropsch synthesis. The implemented energy integration resulted in a&#xD;
significant thermal consumption reduction—over 80%—enhancing the overall efficiency and&#xD;
sustainability of the process. The use of thermodynamic equilibrium simulation based on&#xD;
Gibbs free energy minimization enabled the evaluation of the processes’ efficiency and&#xD;
selectivity. This study supports technical advancements in biogas conversion and provides&#xD;
guidance for selecting the most appropriate route according to the desired application and&#xD;
available operating conditions, especially in regions like Mato Grosso do Sul, which has&#xD;
significant biogas production potential.
Tipo: Trabalho de Conclusão de Curso</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufms.br/handle/123456789/14265</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>PROJETO DE UMA UNIDADE PARA EXTRAÇÃO DE BIOSSÍLICA A PARTIR DAS CINZAS DA CASCA DO ARROZ GERADAS EM SISTEMA DE COGERAÇÃO DE ENERGIA</title>
      <link>https://repositorio.ufms.br/handle/123456789/14214</link>
      <description>Título: PROJETO DE UMA UNIDADE PARA EXTRAÇÃO DE BIOSSÍLICA A PARTIR DAS CINZAS DA CASCA DO ARROZ GERADAS EM SISTEMA DE COGERAÇÃO DE ENERGIA
Abstract: This work presents a proposal for the extraction of biosilica from rice husk ash (RHA), aiming at the valorization of an abundant solid residue in the rice sector. The methodology adopted was based on three stages: theoretical-conceptual review, laboratory experimentation, and development of a proposed industrial-scale process. The laboratory experiments resulted in white silica, and characterization by X-ray diffraction confirmed the obtaining of amorphous biosilica. Based on the results, mass and energy balances associated with the unit operations of the extraction process were developed, including acid leaching, filtration, drying, calcination, and particle size classification. From these balances, the preliminary sizing of the main equipment necessary for the extraction unit was carried out, such as a leaching tank, filter washer, dryer, calcination furnace, mill, and industrial sieves. The designed unit has the capacity to process 248.53 tons of rice husk per day, producing approximately 5.98 MW of energy and 39 tons of biosilica per day, demonstrating the technical viability of the integrated process. Thus, the proposal of this work constitutes a sustainable alternative that promotes the circular economy in the rice sector, transforming a low-value-added residue into a high-potential technological input (biosilica) and renewable energy.
Tipo: Trabalho de Conclusão de Curso</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufms.br/handle/123456789/14214</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>OTIMIZAÇÃO DA ANÁLISE DE RESISTÊNCIA À TRAÇÃO DA FIBRA DE CELULOSE POR MODELO PREDITIVO</title>
      <link>https://repositorio.ufms.br/handle/123456789/14181</link>
      <description>Título: OTIMIZAÇÃO DA ANÁLISE DE RESISTÊNCIA À TRAÇÃO DA FIBRA DE CELULOSE POR MODELO PREDITIVO
Abstract: In pulp production, monitoring several parameters that guide industrial decision&#xD;
making is essential. In this context, numerous analyses are carried out in a quality &#xD;
laboratory, some of which have reduced frequency due to factors such as a high &#xD;
number of procedural steps, the need for a stable environment, and the long time &#xD;
required to obtain results. Among these tests, the tensile strength of cellulose fibers &#xD;
stands out as one of the most important, since in a scenario where fluctuations in the &#xD;
short-fiber market price are constant, achieving optimal parameter conditions in &#xD;
production is advantageous, as it directly influences pulp productivity on the paper &#xD;
machine. Additionally, the strong correlation between tensile strength and fiber &#xD;
morphology data indicates that developing a predictive model is an effective &#xD;
optimization tool, especially considering the short time required to determine &#xD;
anatomical characteristics. Thus, the aim of this study was to use laboratory fiber &#xD;
morphology data to predict tensile index results through the development of a multiple &#xD;
linear regression model. Python was used as the tool for statistical data analysis, with &#xD;
scikit-learn as the main library. The variables selected for model configuration were &#xD;
Mass-Weighted Average Fiber Length, Fibrillation Ratio, Curl, and Fines Ratio. The &#xD;
final model achieved a MAPE of 2,89% and an RMSE of 2,49 N·m/g, demonstrating &#xD;
strong predictive capability, which was confirmed by statistical significance tests. &#xD;
Therefore, the model can be applied as a tool in the analytical routine, reducing the &#xD;
estimated analysis time from 11 hours to only 5 hours.
Tipo: Trabalho de Conclusão de Curso</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufms.br/handle/123456789/14181</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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