Mass transfer of pork meat cubes (M. triceps brachii), shaped as 1x1x1 cm, during osmotic dehydration (OD) and under atmospheric pressure was investigated in this paper. The effects of different parameters, such as concentration of sugar beet molasses (60-80%, w/w), temperature (20-50ºC), and immersion time (1-5 h) in terms of water loss (WL), solid gain (SG), final dry matter content (DM), and water activity (aw), were investigated using experimental results. Five artificial neural network (ANN) models were developed for the prediction of WL, SG, DM, and aw in OD of pork meat cubes. These models were able to predict process outputs with coefficient of determination, r2, of 0.990 for SG, 0.985 for WL, 0.986 for aw, and 0.992 for DM compared to experimental measurements. The wide range of processing variables considered for the formulation of these models, and their easy implementation in a spreadsheet calculus make it very useful and practical for process design and control

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A Response Surface Methodology approach (RSM) was used to determine optimum conditions for the osmotic dehydration of carrot cubes in sugar beet molasses. Treatment times were set to 1, 3 and 5 h, at temperatures of 45, 55 and 65°C and molasses concentrations were 40, 60 and 80% (w/w). The used responses variables were: final dry matter content (DM), water loss (WL), solid gain (Sg), and water activity (aw). A Box and Behnken’s fractional factorial design (2 level-3 parameter) with 15 runs (1 block) was used for design of the experiment. DM, WL, Sg were significantly affected by all process variables (at 90-95% confidence level). The optimum conditions were determined by superimposing the contour plots, with the following response limiting values: DM 50-60%, WL 0.7- 0.8, Sg 0.08-0.09, and aw 0.84-0.86. The optimum conditions generated were: treatment time of 4h, temperature of 60°C, sugar concentration of 66% (w/w)

Summary This study investigates dough rheology of three wholemeal spelt flours cultivars and influence of egg quantity (0–248 g kg−1) on the technological and sensory quality of wholemeal pasta. Standard scores (SS), based on assigning equal weight to applied parameters (rheological, chemical, technological and colour), has been calculated and the obtained values compared. Correlation coefficients of SS with alveograph data for P, L, G and W are 0.99, 0.98, 0.99 and 0.91, respectively, and warm pasta stability and retrogradation of starch correlated to SS at level 0.99. For PCA modelling, two 9 × 15 data matrices were divided into different rheological or integrated chemical, technological quality and colour evaluation methods data sets. Standard scores analysis points out that owing to its good rheology, pasta made by cultivar Austria has the best technological quality in relation to the technological quality of the other two cultivars (Nirvana and Eko).

The effects of osmotic dehydration on mass transfer properties and microbiological profile were investigated in order to determine the usefulness of this technique as pre-treatment for further treatment of meat. Process was studied in two solutions (sugar beet molasses, and aqueous solution of sodium chloride and sucrose), at two temperatures (4 and 22°C) at atmospheric pressure. The most significant parameters of mass transfer were determined after 300 minutes of the dehydration. The water activity (aw) values of the processed meat were determined, as well as the change of the microbiological profile between the fresh and dehydrated meat. At the temperature of 22°C the sugar beet molasses proved to be most suitable as an osmotic solution, despite the greater viscosity

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Osmotic dehydration is important food preservation method because of many advantages considering mild processing temperature, base waste material and low energy requirements. The goal of this research was to investigate the effects of the process temperaute, time and osmotic solution concentration on the effectiveness of the chicken meat osmotic dehydration process in osmotic solution of sodium сhloride and sucrose. Developed mathematical models had good fit with experimental data, while maximal obtained values of process responses of: dry matter content: 58.30 ± 0.22%; water loss: 0.4791 ± 0.0014 g/gi.s.; solid gain: 0.1579 ± 0.0024 g/gi.s. and water activity: 0.800 ± 0.001; indicated on good dehydration levels and that applied osmotic solution is very good osmotic medium. Application of principal component analysis has provided better visualization in differentiation of the samples, while score analysis was used to point at optimal combination of technological parameters in effort to obtain best osmotic dehydration process results. Practical Applications Process of osmotic dehydration is commonly used technique for food processing since its low energy requirements for water removal, minimal waste material and possibility of producing new types of food products from animal and plant raw matterials. This study investigates the effects of applied technological parameters on the process of osmotic dehydration of chicken meat. Developed mathematical models in this research can be considered as precise for process parameters prediction and optimization in experimental and industrial applications. The analysis of the osmotic dehydration process efficiency points at the optimal combination of applied technological parameters in effort to obtain best osmotic dehydration process results.

The daily intake of dietary fibres in highly industrialized countries is at a low level and, therefore, adversely affecting human health. The objective of this research was to analyze the influence of different commercial fibres (originating from sugar beet pulp fibrex, and Jerusalem artichoke inulin HPX and GR) in yeast dough at a level of 5 %, on the rheological properties of dough and the quality of bread during frozen storage. Frozen dough characteristics were determined using a Brabender maturograph and test baking was followed according the AACC procedure. The dough was frozen at -18?C and stored over a period of 60 days. The results concerning the dough (proving time and stability) and bread quality (volume and crumb quality) were statistically analyzed by multivariance Manova and discriminative analysis, which indicated that there was a significant difference between dough without fibres and dough with different fibres (fibrex, inulin HPX and GR). The discrimination coefficient points that the greatest influence of fibres on the final proof and proving stability is after 30 days (6.250) and after 0 days (6.158), respectively, but the greatest influence of fibres on bread volume and bread crumb quality (15.488 and 3.638, respectively) can be expected on non frozen dough, due to above mention their adverse the effect on gluten network.