4 research outputs found

    Innovative Methods of Encapsulation and Enrichment of Cereal-Based Pasta Products with Biofunctional Compounds

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    Nowadays, cognizant consumers expect products that, in addition to fulfilling a nutritional role, exhibit health-promoting properties and contribute to overall well-being. They expect an increase in the nutritional value of the staple foods that they often consume, such as pasta, through the incorporation of bioactive compounds. Due to their susceptibility to photo- and thermolability, it is necessary to protect biocompounds against external factors. A modern approach to protecting bioactive compounds is microencapsulation. The aim of this article was to present various microencapsulation methods (including spray-drying, freeze-drying, liposomes, and others) and a review of research on the use of microencapsulated bioactive compounds in pasta. The discussed literature indicates that it is possible to use microencapsulated bioactive compounds, such as fatty acids or phenolic compounds, in this product. However, further research is necessary to develop the possibility of reducing the costs of such a procedure so that the benefits for consumers are greater than the disadvantages, which are an increase in food prices. There is also little research on the use of microencapsulated probiotics, vitamins, and minerals in pasta, which also represents an opportunity for development in this aspect

    Innovative Implementation of Computational Fluid Dynamics in Proteins Denaturation Process Prediction in Goose Breast Meat and Heat Treatment Processes Optimization

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    This study aimed to calculate the optimal thermal processing parameters for goose meat using CFD simulation. CFD provides a precise determination of heat treatment conditions by predicting protein denaturation and mass loss, leading to higher quality and improved sensory experience and, thus, acceptance of products. Accurate calculation of these conditions reduces energy losses and enhances process efficiency in the food industry. This study focused on the prediction of protein denaturation and cooking loss in goose breast meat during roasting. Specific CFD techniques, including conjugate heat transfer and phase change models, were utilized to ensure accuracy in protein denaturation prediction. These models accounted for variations in meat composition, such as fat and water content across different samples, which improved the accuracy of the predictions. Optimal conditions were determined using a mathematical model. These conditions were 164.65 掳C, 63.58% humidity, and a fan rotation of 16.59 rpm for 2000 s. The myosin, collagen, and actin denaturation levels, as well as cooking loss, closely matched predicted values. The findings show that CFD is a valuable method for evaluating protein denaturation and cooking loss in goose breast meat, potentially improving product quality and consistency in gastronomy and the meat industry. This innovative optimization method enhances food production efficiency and elevates sensory characteristics, physicochemical properties, and nutritional value, contributing to consumer satisfaction and market competitiveness. The model proposed in this paper can be adapted to predict denaturation in other types of meat or food products with necessary modifications, offering broad applicability. Potential limitations of using CFD in protein denaturation prediction in complex food matrices include the need for detailed compositional data and computational resources, which can be addressed in future research
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