Navegando por Autor "Curi, Paula Nogueira"
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Item Elaboração de frozen yogurt simbiótico adicionado de gengibre.(2022) Quintão, Arthur de Oliveira; Lima, Michelle Barbosa; Schiassi, Maria Cecília Evangelista Vasconcelos; Curi, Paula Nogueira; Monteiro, Reginaldo de Souza; Cunha, Luciana Rodrigues da; Pereira, Patrícia Aparecida PimentaAtualmente, nota-se uma grande preocupação por parte dos consumidores em adquirir produtos nutritivos, saudáveis, que tragam benefícios para a saúde, com sabores diferenciados e acima de tudo, seguros para o consumo, sendo uma tendência de mercado e, como o sorvete de iogurte está cada vez mais sendo apreciado no Brasil, o presente estudo teve como objetivos a) determinar a concentração ideal de gengibre a ser adicionado ao frozen yogurt, b) determinar a concentração de prebióticos em frozen yogurt adicionado de gengibre e c) estudar a viabilidade das culturas lácticas, os teores de compostos bioativos e a capacidade antioxidante de frozen yogurt simbiótico adicionado de gengibre. Verificou-se que a utilização de 0,8% e 1,0% de gengibre adicionados antes ou após a maturação da calda não influenciaram a preferência do frozen yogurt. Já a adição de prebióticos, forma isolada ou combinada, influenciaram no pH, nos atributos sensoriais de cor e sabor e no overrun, sendo que a utilização de 2% de inulina proporcionou maiores teores de compostos fenólicos. Diante do exposto conclui-se que é viável produzir frozen yogurt simbiótico adicionado de gengibre. Desta forma, as quantidades ideais de gengibre e de prebiótico a ser adicionado ao produto são 1% e 2%, respectivamente.Item Influence of different types of sugar : “Batum” raspberry jelly and juice processing in subtropical regions.(2023) Curi, Paula Nogueira; Schiassi, Maria Cecília Evangelista Vasconcelos; Silva, Alexandre Dias da; Pio, Rafael; Pereira, Patrícia Aparecida Pimenta; Rossi, Maíra Ferreira de Melo; Souza, Vanessa Rios deThe aim was to evaluate jellies and juices of raspberry from the cultivar “Batum” made with different sugars (white refined sugar, white crystal sugar, demerara sugar, brown sugar and coconut sugar) evaluating physicochemical, physical and sen- sory aspects. The influence of information on product accept- ability was evaluated. Analyzes of solids, pH, total acidity and color were performed on the products. Texture profile analysis was also conducted on the jellies. Jelly produced with refined sugar presented the highest hardness, adhesiveness and gum- miness values. The jelly and juice made with each type of sugar changed the physicochemical and physical characteristics of the final products. When the characteristics and benefits of each sugar that were used were passed on to the consumer, the sensory acceptance was changed. The use of demerara and brown sugars was better accepted in jellies. As for juices, there was greater acceptability when using white crystal and demer- ara sugars.Item Optimization of texture profile analysis parameters for commercial guava preserve.(2021) Vieira, Mariele Antunes; Schiassi, Maria Cecília Evangelista Vasconcelos; Dias, Ana Clara Costa; Curi, Paula Nogueira; Pereira, Patrícia Aparecida Pimenta; Carneiro, João de Deus Souza; Borges, Soraia Vilela; Queiroz, FabianaMotivated by the lack of studies that standardize and optimize the parameters of texture tests, this study aimed to determine the operating conditions for TPA to maximize the discrimination among samples of fruit preserves. The texture of the commercial guava preserves was evaluated using a texturometer. The Design Central Composite Rotational (DCCR) method was applied with four independent variables: speed test, sample volume, time between compression cycles and compression percentage. Only the compression percentage and test speed were significantly influenced by the texture parameters evaluated. The optimum operating region of TPA to better discriminate differences in texture parameters depended on the variable to be optimized, and for adhesiveness a compression of 75% and a compression speed of 0.23 mm·s are recommended. To detect differences among the samples for the parameters of cohesiveness, gumminess and resilience, the use of 15% compression and 2.59 mm·s speed is suggested. In both cases, one must employ the shortest time between two cycles and use a smaller sample size to save both the time of analysis and of the sample, respectively. For the parameters of hardness, elasticity and chewiness, optimal regions were not identified.