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Production of Sensorily Acceptable Pasta Filata Cheese with Partial Substitution of Sheep’s Milk Powder in Different Forms
The presented study analyzed the possibility of pasta filata cheese production using sheep’s milk powder in different forms and substitution amounts with fresh cow’s milk. For the production of the pasta filata cheeses that were analyzed in the research, sheep’s milk powder and reconstituted sheep’s milk were used for partial substitution with fresh cow’s milk in the amount of approx. 20, 30 and 40 percent (v/v). The obtained results showed that the more sheep’s milk in the form of powder in the mixture, the lower the cheese’s moisture content. The fat and protein content in the whey after the production of cheeses from mixtures was lower than after the production of cheeses from reconstituted sheep’s milk only. Cheeses produced entirely from reconstituted sheep’s milk displayed the highest fat loss. The greatest cheese yield was observed for cheeses from mixtures with sheep’s milk powder and entirely from reconstituted sheep’s milk. Pasta filata cheeses made from a mixture of cow’s milk and sheep’s milk powder that was not reconstituted were much less acceptable to consumers than reconstituted milk powder cheeses, especially those with 40% and 30% added powder. Sensory profile analysis showed that the addition of sheep’s milk to the mixture, regardless of the form, affected the appearance, consistency, and flavor of the produced pasta filata cheeses. Mixing cow’s milk with sheep’s milk powder created the possibility of modeling the final cheese quality and yield.
The influence of the texture and color of goat’s salad cheese on the emotional reactions of consumers compared to cow’s milk cheese and Feta cheese
AbstractIn this study, the sensory and mechanical aspects of the texture of goat’s milk salad cheese were correlated with the emotional profiles of consumers. Using descriptive sensory analysis and instrumental assessment, the texture profile of goat’s milk salad cheese was compared to cow’s milk salad cheese and Feta cheese. Texture measurements confirmed that goat’s cheese compared to cow’s cheese had more softness and less hardness, and Feta cheese had the highest whiteness index compared to the other cheeses. Goat’s milk salad cheese was much less acceptable to consumers compared to cow’s milk cheese and Feta cheese. Consumers also indicated that the hardness of goat’s cheese was lower than that of cow’s cheese and Feta cheese. A reduction in “stickiness” in comparison with cow’s cheese was also reported; however, it was much higher than that for Feta cheese. The “fracturability” and “graininess” of goat’s cheese was similar to cow’s cheese. Emotional profile analysis showed that goat’s cheese evokes mainly negative emotions. Consumers indicated only one positive emotion in the case of this cheese, which was “healthy”. The most frequently mentioned emotions after the consumption of goat’s cheese were “upset”, “disgusted” and “worried”. Many consumers also indicated “disappointed” and “angry”, which did not occur after the consumption of cow’s cheese. This research shows how important it is to combine several analyses and techniques when evaluating dairy products, including salad cheeses. It is also important that consumer research is enriched by emotional profiling. Graphical abstract
Innovative covering liquids stabilising water–fat leachate from fresh mozzarella cheese used as pizza topping
This study analyses the possibility of changing the composition of the covering liquid in which mozzarella cheese is stored. The characterisation of mozzarella cheese consumed fresh and during later culinary use as a pizza topping was carried out. Mozzarella cheese from cow’s milk and reconstituted sheep’s milk were used for this study. The cheese was stored in whey-based covering liquid to which single or double amounts of lactose and/or citric acid (w/w) were added. The results obtained during laboratory analysis showed that the addition of lactose and/or citric acid to the covering liquid significantly impacted the mass of the cheese and the changes that can occur during later culinary use. The observed changes in the cheese during storage in the covering liquid were confirmed by the characteristics of the liquid itself. The smallest mass changes were related to cheeses stored in a covering liquid with double the amount of lactose and a single amount of citric acid. This cheese also displayed positive changes in all assessed descriptors (texture, melt, and colour). The amount of leachate from the cheese was small and occurred relatively late after unpacking and quartering. Based on the results of the study, changes made to the composition of the covering liquids can positively affect the characteristics of mozzarella cheese. Additionally, this data allows for the creation of specialised mozzarella cheeses that can pique the consumer’s interest.
Analiza proszku owocowego z wykorzystaniem spektroskopii w podczerwieni z transformacją Fouriera (FTIR ATR)
Fruit Powder Analysis Using Machine Learning Based on Color and FTIR-ATR Spectroscopy - Case Study: Blackcurrant Powders
Fruits represent a valuable source of bioactivity, vitamins, minerals and antioxidants. They are often used in research due to their potential to extend sustainability and edibility. In this research, the currants were used to obtain currant powders by dehumidified air-assisted spray drying. In the research analysis of currant powders, advanced machine learning techniques were used in combination with Lab color space model analysis and Fourier transform infrared spectroscopy (FTIR). The aim of this project was to provide authentic information about the qualities of currant powders, taking into account their type and carrier content. In addition, the machine learning models were developed to support the recognition of individual blackcurrant powder samples based on Lab color. These results were compared using their physical properties and FTIR spectroscopy to determine the homogeneity of these powders; this will help reduce operating and energy costs while also increasing the production rate, and even the possibility of improving the available drying system.
Insight into the potato protein-based vegan cheese: A comprehensive study on physicochemical, mechanical and molecular properties
The growing interest in plant-based diets is driving the search for new products, including alternatives to dairy cheese. The aim of this research was to develop a recipe and technology for the production of a vegan cheese, then to characterize the physical, mechanical as well as molecular properties of the obtained products. The use of protein isolated from potato juice seems to be appropriate due to the nutritional value of the formed product and to the environmental benefits, that is, the use of waste potato juice to obtain a valuable raw material. It was found that as a result of the interaction of protein with carbohydrates and fats, the hardness and viscosity of the obtained products increase. Moreover, it was shown that one of the tested cheese analogues, which contains 5% of potato juice protein, 12% of oil and 25% of modified potato starch, is the optimal analyzed variant. It has attractive culinary properties, such as meltability; therefore, it can be used in production of hot dishes, for example, as a plant-based alternative to dairy cheese in pizza.