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    <title>TEDE Collection:</title>
    <link>https://tede.unioeste.br/handle/tede/600</link>
    <description />
    <pubDate>Wed, 05 Aug 2026 18:16:20 GMT</pubDate>
    <dc:date>2026-08-05T18:16:20Z</dc:date>
    <item>
      <title>Predição do equilíbrio da adsorção multicomponente de gases utilizando o modelo aNRTL para cálculo dos coeficientes de atividade na fase adsorvida</title>
      <link>https://tede.unioeste.br/handle/tede/8496</link>
      <description>Title: Predição do equilíbrio da adsorção multicomponente de gases utilizando o modelo aNRTL para cálculo dos coeficientes de atividade na fase adsorvida
Autor: Reinehr, Thiago Olinek
Primeiro orientador: Silva, Edson Antonio da
Abstract: Three non-ideal models were developed to predict the adsorption behavior of binary mixtures based on the adjustment of parameters from single-component systems: the VSM-aNRTL and two Langmuir Thermodynamic Multi-Region Expanded models, one based on the maximum adsorption capacity (LTEMR) and another on the adsorbed molar area (LTEMR-area). All of them utilize the new Adsorption Non-Random Two-Liquid (aNRTL) model to calculate the activity coefficient in the adsorbed phase. Experimental single-component adsorption equilibrium data from the NIST/ARPA-E Database were adjusted to obtain the necessary parameters. These parameters were then used to predict equilibrium data for 12 binary systems at different temperatures, involving various gases. For comparison, the idealized model of the Ideal Adsorbed Solution Theory (IAST) and the traditional VSM, which employs Wilson's equations (VSM-Wilson) to calculate the activity coefficients in the adsorbed phase, were used. The proposed models proved effective in correlating the adsorption isotherms of pure components, with high correlation coefficients and a reduction in the number of adjustable parameters compared to VSM-Wilson. In predicting equilibrium data of binary mixtures, both VSM-aNRTL and LTEMR-area showed lower deviations compared to the IAST and VSM-Wilson models, notably the VSM-aNRTL, which significantly outperformed the comparison models. The superior performance of the proposed models was also confirmed by the Akaike Information Criterion (AIC). Notably, VSM-aNRTL and LTEMR-area achieved these results by incorporating only one additional parameter relative to IAST and with fewer parameters than VSM-Wilson, evidencing their efficiency and precision in predicting adsorption in binary systems.
Publisher: Universidade Estadual do Oeste do Paraná
Tipo do documento: Tese</description>
      <pubDate>Wed, 04 Dec 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://tede.unioeste.br/handle/tede/8496</guid>
      <dc:date>2024-12-04T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Dispositivo de detecção de incêndios incipientes em secadores de grãos através de técnicas de Redes Neurais Artificiais (RNA)</title>
      <link>https://tede.unioeste.br/handle/tede/8401</link>
      <description>Title: Dispositivo de detecção de incêndios incipientes em secadores de grãos através de técnicas de Redes Neurais Artificiais (RNA)
Autor: Zarpellon, Luis Eduardo
Primeiro orientador: Morejon, Camilo Freddy Mendoza
Abstract: In recent decades, Brazil has consolidated as one of the largest grain producers in the world. To ensure product quality during storage and processing, grains undergo a drying process using grain dryers. This high-temperature step presents a significant fire risk. Due to their unique propagation characteristics, fires in grain dryers cause product waste and financial losses, posing a technological bottleneck. This study aimed to develop a fire detection system for grain dryers using Artificial Neural Networks (ANN). The methodology included: 1) Characterization of the study element; 2) Analysis of material behavior in the drying process regarding fire causes; 3) Exploration of conventional fire detection methods in grain dryers; 4) Development of an innovative fire detection device for grain dryers; 5) Laboratory-scale operationalization and testing of the device; 6) Industrial-scale operationalization and testing of the device; 7) Evaluation of intellectual protection requirements; 8) Systematization of results. The research resulted in the creation of a fire detection device for grain dryers that can identify early-stage fire situations by monitoring independent variables such as drying air temperature, atmospheric temperature and humidity, grain temperature, moisture and volume of grain mass, and drying speed. The device utilized a feedforward ANN model, MLP 5-16-10-1, with Tanh, ReLU, and Linear activation functions between layers, respectively. Simulations with the proposed model demonstrated the ANN's ability to predict normal operation conditions, identify fire risks, and detect early stage fires.
Publisher: Universidade Estadual do Oeste do Paraná
Tipo do documento: Tese</description>
      <pubDate>Thu, 11 Jul 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://tede.unioeste.br/handle/tede/8401</guid>
      <dc:date>2024-07-11T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Produção de monoglicerídeos e diglicerídeos a partir da reação de glicerólise catalisada por lipase imobilizada</title>
      <link>https://tede.unioeste.br/handle/tede/7919</link>
      <description>Title: Produção de monoglicerídeos e diglicerídeos a partir da reação de glicerólise catalisada por lipase imobilizada
Autor: Finco, George Fernando
Primeiro orientador: Palu, Fernando
Abstract: The present work aimed to monitor the production of monoacylglycerols (MAG) and diacylglycerols (DAG) from olive oil, using Tween 80 as surfactant, butanol as co-surfactant and Lipozyme TL 100L enzyme as biocatalyst, immobilized on support Spectrogel type C to obtain emulsifying agents with higher added value. The stability of the micros that had stability to glycerolysis that presented greater efficiency of conversion of triacyllons (TAG) was carried out. The points for a glycerolysis were submitted to factorial planning 22. This methodology was adopted for the production of DAG, and these conversion factors of approximately 95% of TAG in MAG and DAG were found. In order to optimize the methodology, with the help of the Box-Behnken mathematical model, a mathematical model was elaborated with the planning results and a theoretical value of 97% of performance with the use of 7.95% (m/m) of enzyme at 35.97°C. For this, the theoretical and experimental points were reproduced, and the optimum point was obtained under the conditions of glycerol: oil molar ratio 2:1, 36ºC, 7.95% (m/m) of enzyme and in a reaction time of reaction 120 minutes, and a conversion efficiency of approximately 97% in MAG and DAG. The adsorption was optimized in the same enzymatic way as the glycerolysis conditions and used as optimal for the adsorption process, obtaining a theoretical maximum of 96 U g-1 of activity or practical 93 U g-1 of average value. Therefore, the experimental results had similar results when compared with theorical results, and such conditions were established in the conversion. Enzyme activity is also compatible with the same parameter, or increased by applying the theoretical point.
Publisher: Universidade Estadual do Oeste do Paraná
Tipo do documento: Tese</description>
      <pubDate>Tue, 28 Mar 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://tede.unioeste.br/handle/tede/7919</guid>
      <dc:date>2023-03-28T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Microencapsulação de hidrolisado de fígado suíno</title>
      <link>https://tede.unioeste.br/handle/tede/7869</link>
      <description>Title: Microencapsulação de hidrolisado de fígado suíno
Autor: Souza, Hellen Karoline Spricigo de
Primeiro orientador: Silva, Edson Antonio da
Abstract: This research, conducted in partnership with BRF S.A., aimed to evaluate the production of pork liver hydrolysates using different enzymes and different process times. The study also aimed to investigate the effects of hydrolysis on functional, bioactive, and rheological properties, as well as to evaluate microencapsulation using “spray drying” and freeze-drying with various encapsulating materials. Pork liver was hydrolyzed using the enzymes Alcalase® 2.4L, FoodPro® PXT, Pancreatin, and Pepsin for 5 hours, and the enzymatic kinetics were evaluated during this period. The enzymes Alcalase® 2.4L and FoodPro® PXT were selected, and a new kinetics study was conducted, evaluating the times of 1 h, 4 h, 6 h, 8 h, 10 h and 12 h. The antioxidant activity of the hydrolysates was evaluated using the DPPH and ABTS methods. The effects of hydrolysis on the physicochemical properties, functional properties, antimicrobial activity, and rheological behavior of the hydrolysates produced with Alcalase® 2.4L and FoodPro® PXT at times of 1 h and 4 h time were also investigated. Regarding microencapsulation, the pork liver hydrolysate with Alcalase® 2.4L for 4 h was used along with different encapsulating materials (arabic gum, maltodextrin, whey protein, combination of whey protein with maltodextrin, xanthan gum, and soy protein isolate) and two encapsulation methods (“spray drying” and freeze-drying). The produced microcapsules were evaluated for morphology, particle diameter, water activity, FTIR spectra, thermal stability, gastrointestinal simulation, antioxidant activity and antimicrobial activity. The results showed that all the hydrolysates exhibited higher antioxidant activity compared to the fresh pork liver. In addition, low molecular weight peptides were identified in the hydrolysates, with high bioactive potential. The hydrolysates showed excellent foaming characteristics and water and fat retention capacity, but showed low emulsion stability, and the hydrolysates with the FoodPro® PXT enzyme showed low emulsion formation capacity. The hydrolysates also showed antimicrobial activity against the bacteria Staphylococcus aureus and the fungus Candida albicans. Regarding the rheological behavior, the pork liver exhibited pseudoplastic non-Newtonian fluid behavior, while the hydrolysates with Alcalase® 2.4L enzyme showed non-Newtonian behavior with thixotropic properties, and the hydrolysates with FoodPro® PXT enzyme behaved as Newtonian fluids. In microencapsulation, it was observed that the particles produced by “spray drying” exhibited a spherical shape with varying sizes (0.4 – 37.6 μm), while the particles obtained by freeze-drying displayed a morphological appearance of brittle flakes with irregular sizes (0.4 – 39.7 μm). Thermogravimetric analyzes of the microcapsules showed good thermal stability. All microcapsules showed low water activity, being considered stable from a biological and chemical point of view. In the gastrointestinal simulation, the wall materials were adequate for the protection of antioxidant biopeptides, except for xanthan gum, which showed low efficiency. As for antimicrobial activity, the microcapsules produced with Gum Arabic, Soy Protein Isolate and Whey+Malto (only those produced in a lyophilizer) showed an inhibitory action against C. albicans and the microcapsules produced with Whey Protein, Whey+Malto and Soy Protein Isolate (only those produced in “spray drying”) showed inhibition for S. aureus. The results obtained for gastrointestinal simulation demonstrated that microencapsulation preserved the antioxidant and antimicrobial activity of the pork liver hydrolyzate, confirming its importance for the maintenance of biopeptides. Thus, microencapsulated pork liver hydrolyzate has high potential for industrial-scale applications in different segments, such as food, nutraceuticals and supplements.
Publisher: Universidade Estadual do Oeste do Paraná
Tipo do documento: Tese</description>
      <pubDate>Mon, 26 Jun 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://tede.unioeste.br/handle/tede/7869</guid>
      <dc:date>2023-06-26T00:00:00Z</dc:date>
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