61 research outputs found

    STUDY OF FATTY ACID COMPOSITION OF MILK FOR CHEESE PRODUCTION

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    The article shows that the studied samples of raw milk in terms of composition (mass fraction of fat, protein, lactose and milk solids-not-fat) met the criteria of suitability for cheese, and its physic-chemical properties (titratable acidity, density, freezing point) were within acceptable limits. Moreover, rennet sample corresponded to the first and second classes. It was proved that the number of spores of lactating fermenting microorganisms met the requirements for milk for the production of any kind of cheese. It was established that the fatty acid composition of raw cow’s milk used to produce cheeses at various enterprises varied significantly. The data indicate the variability of the content of all groups of fatty acids β€” low molecular weight, saturated, monounsaturated and polyunsaturated. As a result of gas chromatography studies using the chromatographic complex Β«Chromos GX-1000Β» with a flame ionization detector and a CP 88 quartz capillary column β€” Sil 88 for FAME100 m Γ— 0.25 mm Γ— 0.2 Β΅m, it was found that the largest absolute fluctuations were for saturated (Β± 7.03 % of the average value) and monounsaturated fatty acids (Β± 3.77 % of the average value). Absolute fluctuations in the group of low molecular weight fatty acids amounted to Β± 2.62 %, and in the group of polyunsaturated β€” Β± 1.02 % of the average value. The calculation of the relative deviation showed that the most varied groups were the ones of low molecular weight fatty acids (Β± 28.40 rel.%) and polyunsaturated fatty acids (Β± 25.11 rel.%). At the same time, a relatively high content of certain fatty acids: myristoleic, palmitic, palmitoleic and low levels of stearic and oleic fatty acids, was revealed in individual milk samples.The article shows that the studied samples of raw milk in terms of composition (mass fraction of fat, protein, lactose and milk solids-not-fat) met the criteria of suitability for cheese, and its physic-chemical properties (titratable acidity, density, freezing point) were within acceptable limits. Moreover, rennet sample corresponded to the first and second classes. It was proved that the number of spores of lactating fermenting microorganisms met the requirements for milk for the production of any kind of cheese. It was established that the fatty acid composition of raw cow’s milk used to produce cheeses at various enterprises varied significantly. The data indicate the variability of the content of all groups of fatty acids β€” low molecular weight, saturated, monounsaturated and polyunsaturated. As a result of gas chromatography studies using the chromatographic complex Β«Chromos GX-1000Β» with a flame ionization detector and a CP 88 quartz capillary column β€” Sil 88 for FAME100 m Γ— 0.25 mm Γ— 0.2 Β΅m, it was found that the largest absolute fluctuations were for saturated (Β± 7.03 % of the average value) and monounsaturated fatty acids (Β± 3.77 % of the average value). Absolute fluctuations in the group of low molecular weight fatty acids amounted to Β± 2.62 %, and in the group of polyunsaturated β€” Β± 1.02 % of the average value. The calculation of the relative deviation showed that the most varied groups were the ones of low molecular weight fatty acids (Β± 28.40 rel.%) and polyunsaturated fatty acids (Β± 25.11 rel.%). At the same time, a relatively high content of certain fatty acids: myristoleic, palmitic, palmitoleic and low levels of stearic and oleic fatty acids, was revealed in individual milk samples

    Budget Feasible Mechanisms for Experimental Design

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    In the classical experimental design setting, an experimenter E has access to a population of nn potential experiment subjects i∈{1,...,n}i\in \{1,...,n\}, each associated with a vector of features xi∈Rdx_i\in R^d. Conducting an experiment with subject ii reveals an unknown value yi∈Ry_i\in R to E. E typically assumes some hypothetical relationship between xix_i's and yiy_i's, e.g., yiβ‰ˆΞ²xiy_i \approx \beta x_i, and estimates Ξ²\beta from experiments, e.g., through linear regression. As a proxy for various practical constraints, E may select only a subset of subjects on which to conduct the experiment. We initiate the study of budgeted mechanisms for experimental design. In this setting, E has a budget BB. Each subject ii declares an associated cost ci>0c_i >0 to be part of the experiment, and must be paid at least her cost. In particular, the Experimental Design Problem (EDP) is to find a set SS of subjects for the experiment that maximizes V(S) = \log\det(I_d+\sum_{i\in S}x_i\T{x_i}) under the constraint βˆ‘i∈Sci≀B\sum_{i\in S}c_i\leq B; our objective function corresponds to the information gain in parameter Ξ²\beta that is learned through linear regression methods, and is related to the so-called DD-optimality criterion. Further, the subjects are strategic and may lie about their costs. We present a deterministic, polynomial time, budget feasible mechanism scheme, that is approximately truthful and yields a constant factor approximation to EDP. In particular, for any small Ξ΄>0\delta > 0 and Ο΅>0\epsilon > 0, we can construct a (12.98, Ο΅\epsilon)-approximate mechanism that is Ξ΄\delta-truthful and runs in polynomial time in both nn and log⁑log⁑Bϡδ\log\log\frac{B}{\epsilon\delta}. We also establish that no truthful, budget-feasible algorithms is possible within a factor 2 approximation, and show how to generalize our approach to a wide class of learning problems, beyond linear regression

    Research on the possibility of extending the shelf life of cheese raw material and heat-treated cheese by their freezing for further use in HoReCa

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    The article presents the results of a study of the regularities of changes in the functional properties and quality indicators of heat-treated cheeses made from frozen cheese raw material or frozen after thermomechanical processing for further use in HoReCa. The objects of the study were: Caliatta cheese β€” a semi-hard ripening cheese intended as the main raw material in the production of heat-treated cheese, as well as heat-treated Β«pizzacheeseΒ», subjected to freezing at temperatures of minus 14 Β±2 Β°Cand minus 55 Β±2 Β°Cand low-temperature storage at a temperature of minus 14 Β±2 Β°Cfor 270 days, followed by defrosting at a temperature of 20 Β±2 Β°C. To confirm the possibility of using the freezing technique in order to increase the shelf life of both the original cheese raw material and heat-treated cheese, their microbiological and physicochemical indicators were determined by standardized methods. Studies of structural and mechanical (rheological) properties were carried out on a Weissenberg rheogoniometer, recording changes in the elastic modulus (G’) and dynamic viscosity (h’). The length of the cheese thread, as one of the main functional properties of the Β«pizza-cheeseΒ», was assessed with a fork test after baking. Organoleptic characteristics were assessed by flavor, texture and appearance. Research results have shown that low-temperature storage of frozen cheese can be considered as a way to retard biological and physicochemical changes, which is a safe way to increase shelf life. Freezing cheese raw material increases the length of the cheese thread in proportion to the temperature and duration of the low-temperature storage. When obtaining heat-treated cheese from both unfrozen and frozen cheese raw material, a significant deterioration in the desired functional properties is observed. Thus, the receipt of heat-treated cheese from the original cheese raw material for further use in the production of pizza is justified only by economic feasibility. Freezing Β«pizza-cheeseΒ» at a temperature of minus 55 Β±2 Β°C, made from unfrozen cheese raw material, ensures the preservation of functional properties and increases the shelf life up to 150 days

    Thresholded Covering Algorithms for Robust and Max-Min Optimization

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    The general problem of robust optimization is this: one of several possible scenarios will appear tomorrow, but things are more expensive tomorrow than they are today. What should you anticipatorily buy today, so that the worst-case cost (summed over both days) is minimized? Feige et al. and Khandekar et al. considered the k-robust model where the possible outcomes tomorrow are given by all demand-subsets of size k, and gave algorithms for the set cover problem, and the Steiner tree and facility location problems in this model, respectively. In this paper, we give the following simple and intuitive template for k-robust problems: "having built some anticipatory solution, if there exists a single demand whose augmentation cost is larger than some threshold, augment the anticipatory solution to cover this demand as well, and repeat". In this paper we show that this template gives us improved approximation algorithms for k-robust Steiner tree and set cover, and the first approximation algorithms for k-robust Steiner forest, minimum-cut and multicut. All our approximation ratios (except for multicut) are almost best possible. As a by-product of our techniques, we also get algorithms for max-min problems of the form: "given a covering problem instance, which k of the elements are costliest to cover?".Comment: 24 page

    On Budget-Feasible Mechanism Design for Symmetric Submodular Objectives

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    We study a class of procurement auctions with a budget constraint, where an auctioneer is interested in buying resources or services from a set of agents. Ideally, the auctioneer would like to select a subset of the resources so as to maximize his valuation function, without exceeding a given budget. As the resources are owned by strategic agents however, our overall goal is to design mechanisms that are truthful, budget-feasible, and obtain a good approximation to the optimal value. Budget-feasibility creates additional challenges, making several approaches inapplicable in this setting. Previous results on budget-feasible mechanisms have considered mostly monotone valuation functions. In this work, we mainly focus on symmetric submodular valuations, a prominent class of non-monotone submodular functions that includes cut functions. We begin first with a purely algorithmic result, obtaining a 2eeβˆ’1\frac{2e}{e-1}-approximation for maximizing symmetric submodular functions under a budget constraint. We view this as a standalone result of independent interest, as it is the best known factor achieved by a deterministic algorithm. We then proceed to propose truthful, budget feasible mechanisms (both deterministic and randomized), paying particular attention on the Budgeted Max Cut problem. Our results significantly improve the known approximation ratios for these objectives, while establishing polynomial running time for cases where only exponential mechanisms were known. At the heart of our approach lies an appropriate combination of local search algorithms with results for monotone submodular valuations, applied to the derived local optima.Comment: A conference version appears in WINE 201

    ΠžΡ†Π΅Π½ΠΊΠ° микробиологичСских рисков Π² сливках ΠΊΠ°ΠΊ ΡΡ‹Ρ€ΡŒΠ΅ для маслодСлия

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    The article presents the research results of studying the influence of various groups of microorganisms β€” coliform bacteria, lactic acid microorganisms, yeast, and spore bacteria β€” on the quality and storage capacity of cream used as a raw material for buttermaking. The objects of study were the following: cream as a raw material before and after pasteurization, as well as pasteurized cream seeded with testing cultures of various types of spoilage microorganisms. The samples were stored at temperature conditions of 30 Β± 1 Β°C, 10 Β± 1 Β°C, and 4 Β± 2 Β°C. To evaluate the quality and storage capacity of cream used as a raw material, its microbiological and physicochemical indicators were determined by standardized methods: bacterial number, titratable acidity, indicators of oxidative spoilage of the fat phase. Organoleptic characteristics were evaluated in terms of taste, consistency and appearance. Research results have shown that the greatest microbiological risks during storage of cream used as a raw material are associated with lactococci, coliform bacteria and yeast. Microbiological risks caused by seeding of cream with thermophilic streptococcus, spore bacteria of the genus Bacillus and spore anaerobic microorganisms of the genus Clostridium are less significant, which is associated with the lack of development and metabolism of these groups of microorganisms at storage temperatures of 10 Β± 1 Β°C and 4 Β± 2 Β°C. At the same time, the reason for the rejection of cream contaminated with these testing cultures, at a storage temperature of 4 Β± 2 Β°C, is primarily a decrease in organoleptic indicators, and at a temperature of 10 Β± 1 Β°C β€” an excess in bacterial number.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСны Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдований ΠΏΠΎ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΡŽ влияния Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ²: Π‘Π“ΠšΠŸ, молочнокислых ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ², Π΄Ρ€ΠΎΠΆΠΆΠ΅ΠΉ, споровых Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΉ Π½Π° качСство ΠΈ Ρ…Ρ€Π°Π½ΠΈΠΌΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ сливок-ΡΡ‹Ρ€ΡŒΡ для маслодСлия. Π’ качСствС ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² исслСдования слуТили: сливки-ΡΡ‹Ρ€ΡŒΠ΅ Π΄ΠΎ ΠΈ послС пастСризации, Π° Ρ‚Π°ΠΊΠΆΠ΅ сливки пастСризованныС, ΠΊΠΎΠ½Ρ‚Π°ΠΌΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ тСст-ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π°ΠΌΠΈ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π²ΠΈΠ΄ΠΎΠ² ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΏΠΎΡ€Ρ‡ΠΈ. Π₯Ρ€Π°Π½Π΅Π½ΠΈΠ΅ ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ² осущСствляли ΠΏΡ€ΠΈ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π½Ρ‹Ρ… Ρ€Π΅ΠΆΠΈΠΌΠ°Ρ… 30 Β± 1 Β°C, 10 Β± 1 Β°C ΠΈ 4 Β± 2 Β°C. Для ΠΎΡ†Π΅Π½ΠΊΠΈ качСства ΠΈ хранимоспособности сливок-ΡΡ‹Ρ€ΡŒΡ стандартизованными ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ опрСдСляли ΠΈΡ… микробиологичСскиС ΠΈ Ρ„ΠΈΠ·ΠΈΠΊΠΎ-химичСскиС ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ: Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΡƒΡŽ ΠΎΠ±ΡΠ΅ΠΌΠ΅Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒ, Ρ‚ΠΈΡ‚Ρ€ΡƒΠ΅ΠΌΡƒΡŽ ΠΊΠΈΡΠ»ΠΎΡ‚Π½ΠΎΡΡ‚ΡŒ, ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ ΠΎΠΊΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΏΠΎΡ€Ρ‡ΠΈ ΠΆΠΈΡ€ΠΎΠ²ΠΎΠΉ Ρ„Π°Π·Ρ‹. ΠžΡ€Π³Π°Π½ΠΎΠ»Π΅ΠΏΡ‚ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π»ΠΈ ΠΏΠΎ вкусу, консистСнции ΠΈ Π²Π½Π΅ΡˆΠ½Π΅ΠΌΡƒ Π²ΠΈΠ΄Ρƒ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдований ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ наибольшиС микробиологичСскиС риски ΠΏΡ€ΠΈ Ρ…Ρ€Π°Π½Π΅Π½ΠΈΠΈ сырых сливок связаны с Π»Π°ΠΊΡ‚ΠΎΠΊΠΎΠΊΠΊΠ°ΠΌΠΈ, Π‘Π“ΠšΠŸ ΠΈ Π΄Ρ€ΠΎΠΆΠΆΠ°ΠΌΠΈ. ΠœΠΈΠΊΡ€ΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ риски, обусловлСнныС обсСмСнСниСм сливок Ρ‚Π΅Ρ€ΠΌΠΎΡ„ΠΈΠ»ΡŒΠ½Ρ‹ΠΌ стрСптококком, споровыми бактСриями Ρ€ΠΎΠ΄Π° Bacillus ΠΈ споровыми анаэробными ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠ°ΠΌΠΈ Ρ€ΠΎΠ΄Π° Clostridium, ΠΌΠ΅Π½Π΅Π΅ Π·Π½Π°Ρ‡ΠΈΠΌΡ‹, Ρ‡Ρ‚ΠΎ связано с отсутствиСм развития ΠΈ ΠΌΠ΅Ρ‚Π°Π±ΠΎΠ»ΠΈΠ·ΠΌΠ° Π΄Π°Π½Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΏΡ€ΠΈ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π°Ρ… хранСния 10 Β± 1 Β°C ΠΈ 4 Β± 2 Β°C. ΠŸΡ€ΠΈ этом основаниСм для Π·Π°Π±Ρ€Π°ΠΊΠΎΠ²ΠΊΠΈ сливок, ΠΊΠΎΠ½Ρ‚Π°ΠΌΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹ΠΌΠΈ тСст-ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π°ΠΌΠΈ, ΠΏΡ€ΠΈ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ хранСния 4 Β± 2 Β°C Π² ΠΏΠ΅Ρ€Π²ΡƒΡŽ ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ являСтся сниТСниС органолСптичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Π° ΠΏΡ€ΠΈ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ 10 Β± 1 Β°C β€” ΠΏΡ€Π΅Π²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ ΠΏΠΎ Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ обсСмСнСнности

    Transforming growth factor Ξ²1 (TGF-Ξ²1) in patients with endocrine ophthalmopathy and Graves’ disease: A predictor of treatment efficiency

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    Current therapeutic approaches to the treatment of endocrine ophthalmopathy (EOP) are based on nonspecific immunosuppression with glucocorticosteroids (GCs) and radiation therapy of the eye orbits. However, some patients exhibit resistance to the treatment. In a previous study, we have detected high levels of soluble cytokine receptors: sTNFΞ±-R1, sTNFΞ±-R2, sIL-2R, and the TGF-Ξ²1 cytokine in euthyroid patients with long-lasting non-treated EOP and Graves’ disease (GD). TGF-Ξ²1 level was significantly higher in the patients with EOP compared to healthy individuals, and increased with prolonged EOP duration, thus suggesting activation of the factors regulating immune system which promote suppression of the autoimmune process. The aim of this work was to study the dynamics of TGF-Ξ²1 and cytokine receptors: sTNFΞ±-R1, sTNFΞ±-R2, sIL-2R in the course of immunosuppressive therapy with high doses of GCs, as possible predictors of treatment efficacy. The study included 49 patients (98 eye orbits) with GD of euthyroid state and subclinical thyrotoxicosis, and the persons with EOP in active phase, who had not previously treatment for EOP. Concentrations of TGF-Ξ²1 cytokine, sTNFΞ±-RI and sTNFΞ±-R2, sIL-2R, antibodies to the thyroid-stimulating hormone receptor (rTSH), free fractions of thyroxine (fT4) and triiodothyronine (fT3), TSH in blood serum were determined in blood serum. Ultrasound examination of the thyroid gland (ultrasound of the thyroid gland), multi-layer computed tomography (MSCT)/magnetic resonance imaging (MRI) of the orbits were also performed. The patients were administered immunosuppressive therapy with high doses of HCs (methylprednisolone) in the course of pulse therapy, at a standard dosage of 4500-8000 mg, taking into account the severity and activity of the EOP clinical manifestations. The examination was carried out 3, 6, 12 months after starting the treatment. 3 and 6 months after the GC administration, more than 30% of patients remained resistant to treatment. The levels of TGF-Ξ²1 did not change significantly in the patients with positive EOP dynamics. In the patients resistant to GC treatment, the level of TGF-Ξ²1 was significantly decreased compared with patients who showed positive clinical dynamics. The level of sNFR1 and sNFaR2 did not change significantly. There were no significant differences in the levels of antibodies to rTSH, thyroid hormones in the patients resistant to GC treatment and with positive dynamics.Immunosuppressive therapy with high-dose of methylprednisolone in pulse therapy regimen showed high efficacy and good tolerability, while some patients remain resistant to treatment. Lower levels of TGF-Ξ²1 cytokine at initial time and during the treatment allow usage of TGF-Ξ²1 levels as a biomarker of the activity of the process, treatment efficiency, and prognosis of the disease. Activation of TGF-Ξ²1, a fibroblast growth factor, may contribute to the development of fibrosis, strabismus, and diplopia

    ИсслСдованиС состава остаточной ΠΌΠΈΠΊΡ€ΠΎΡ„Π»ΠΎΡ€Ρ‹ ΠΌΠΎΠ»ΠΎΠΊΠ° послС пастСризации

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    The article presents the results of studies of the composition of the residual microflora of pasteurized milk, depending on the bacterial landscape and the initial contamination of raw milk. The thermal stability of testΒ  cultures of microorganisms that significantly affect theΒ  quality andΒ  storage capacity of fermented dairy products has beenΒ  studied. To studyΒ  theΒ  composition of theΒ  residual microflora of milk afterΒ  pasteurization, sterile milk was infected withΒ  testΒ  cultures of microorganisms at dosesΒ  fromΒ  101 CFU/cm3 to 107 CFU/cm3. After infection, theΒ  milk was pasteurized at temperatures of (72 Β± 1) Β°C andΒ  (80 Β± 1) Β°C withΒ  a holding timeΒ  of 10–20Β  seconds. The detection andΒ  enumeration of microorganisms was carried outΒ  by standardized microbiological methods. Microorganisms were identified by visual assessment of dominant colonies and cell morphology in micropreparations. The thermal stability of microorganisms important for dairy products, in particular cheeses, the source of whichΒ  is raw milk, has beenΒ  studied. It has beenΒ  established that of theΒ  coccalΒ  forms,Β  theΒ  greatest risks are associated withΒ  enterococci. Escherichia coli atΒ  infection dosesΒ  above 106 CFU/cm3 partially retains viability bothΒ  at low-temperature andΒ  at high-temperature pasteurization. Pasteurization temperatures do not haveΒ  a lethal effect on sporeΒ  bacilli, their number in pasteurized milk does not decrease, regardless of theΒ  initial dose of infection. Low-temperature pasteurization activates the process of clostridial sporeΒ  germination. The ability to reactivate cells afterΒ  thermal shock was observed in Escherichia coli, Staphylococcus aureus, Pseudomonas, andΒ  moldΒ  fungi.Β  Thus,Β  theΒ  residual microflora of milkΒ  subjected toΒ  low-temperature pasteurization is represented by enterococci, thermophilic streptococci, micrococci, staphylococci, asporogenous bacilliΒ  andΒ  spore bacteria. The above microorganisms constituteΒ  theΒ  residual microflora of pasteurized milk and are involved in theΒ  maturation of cheeses, determining their quality andΒ  safety,Β  [as well as] affecting theΒ  storage capacity of the finished product.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСны  Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдований состава остаточной ΠΌΠΈΠΊΡ€ΠΎΡ„Π»ΠΎΡ€Ρ‹Β  пастСризованного ΠΌΠΎΠ»ΠΎΠΊΠ° Π² зависимости ΠΎΡ‚ Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΠ΅ΠΉΠ·Π°ΠΆΠ° ΠΈ исходной обсСмСнСнности сырого  ΠΌΠΎΠ»ΠΎΠΊΠ°. Π˜Π·ΡƒΡ‡Π΅Π½Π° Ρ‚Π΅Ρ€ΠΌΠΎΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΡŒ тСст-ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€ ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ², Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Π²Π»ΠΈΡΡŽΡ‰ΠΈΡ… Π½Π° качСство ΠΈ Ρ…Ρ€Π°Π½ΠΈΠΌΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ Ρ„Π΅Ρ€ΠΌΠ΅Π½Ρ‚ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ…Β  ΠΌΠΎΠ»ΠΎΡ‡Π½Ρ‹Ρ… ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ². Для  исслСдования состава остаточной ΠΌΠΈΠΊΡ€ΠΎΡ„Π»ΠΎΡ€Ρ‹ ΠΌΠΎΠ»ΠΎΠΊΠ° послС  пастСризации ΡΡ‚Π΅Ρ€ΠΈΠ»ΡŒΠ½ΠΎΠ΅ ΠΌΠΎΠ»ΠΎΠΊΠΎ Π·Π°Ρ€Π°ΠΆΠ°Π»ΠΈ тСст-ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π°ΠΌΠΈ ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ²Β  Π² Π΄ΠΎΠ·Π°Ρ… ΠΎΡ‚Β  101 ΠšΠžΠ•/см3 Π΄ΠΎ 107 ΠšΠžΠ•/см3.Β  ПослС  зараТСния ΠΌΠΎΠ»ΠΎΠΊΠΎ пастСризовали ΠΏΡ€ΠΈΒ  Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π°Ρ… (72 Β± 1)Β  Β°C ΠΈΒ  (80 Β± 1) Β°C с Π²Ρ‹Π΄Π΅Ρ€ΠΆΠΊΠΎΠΉ 10–20Β  сСкунд.Β  ВыявлСниС ΠΈΒ  подсчСт ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ²Β  осущСствляли стандартизованными микробиологичСскими ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ. Π˜Π΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΡŽ ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Π²ΠΈΠ·ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΎΡ†Π΅Π½ΠΊΠΎΠΉ Π³ΠΎΡΠΏΠΎΠ΄ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΠΊΠΎΠ»ΠΎΠ½ΠΈΠΉ ΠΈ ΠΌΠΎΡ€Ρ„ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π² ΠΌΠΈΠΊΡ€ΠΎΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π°Ρ…. ИсслСдована Ρ‚Π΅Ρ€ΠΌΠΎΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ², Π·Π½Π°Ρ‡ΠΈΠΌΡ‹Ρ… для  ΠΌΠΎΠ»ΠΎΡ‡Π½Ρ‹Ρ… ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ², Π² частности сыров,Β  источником ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… являСтся сыроС  ΠΌΠΎΠ»ΠΎΠΊΠΎ. УстановлСно, Ρ‡Ρ‚ΠΎ ΠΈΠ· ΠΊΠΎΠΊΠΊΠΎΠ²Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌΒ  наибольшиС риски  связаны с энтСрококками. ΠšΠΈΡˆΠ΅Ρ‡Π½Π°Ρ ΠΏΠ°Π»ΠΎΡ‡ΠΊΠ° ΠΏΡ€ΠΈ Π΄ΠΎΠ·Π°Ρ…Β  зараТСния Π²Ρ‹ΡˆΠ΅ 106 ΠšΠžΠ•/см3Β  частично сохраняСт ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ ΠΊΠ°ΠΊ ΠΏΡ€ΠΈ Π½ΠΈΠ·ΠΊΠΎΡ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π½ΠΎΠΉ, Ρ‚Π°ΠΊ ΠΈ ΠΏΡ€ΠΈ высокотСмпСратурной пастСризации. На споровыС ΠΏΠ°Π»ΠΎΡ‡ΠΊΠΈ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ пастСризации  Π½Π΅Β  ΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚ Π»Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ дСйствия, ΠΈΡ…Β  количСство Π² пастСризованном ΠΌΠΎΠ»ΠΎΠΊΠ΅ Π½Π΅ сниТаСтся, нСзависимо ΠΎΡ‚ исходной Π΄ΠΎΠ·Ρ‹Β  зараТСния. НизкотСмпСратурная пастСризация Π°ΠΊΡ‚ΠΈΠ²ΠΈΠ·ΠΈΡ€ΡƒΠ΅Ρ‚ процСсс прорастания спор  клостридий. Π‘ΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ ΠΊ Ρ€Π΅Π°ΠΊΡ‚ΠΈΠ²Π°Ρ†ΠΈΠΈ ΠΊΠ»Π΅Ρ‚ΠΎΠΊ послС Ρ‚Π΅Ρ€ΠΌΠΎΡˆΠΎΠΊΠ° наблюдалась Ρƒ ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠΉ ΠΏΠ°Π»ΠΎΡ‡ΠΊΠΈ, стафилококка, псСвдомонад ΠΈ плСснСвых Π³Ρ€ΠΈΠ±ΠΎΠ². Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, остаточная ΠΌΠΈΠΊΡ€ΠΎΡ„Π»ΠΎΡ€Π° ΠΌΠΎΠ»ΠΎΠΊΠ°, ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π½ΡƒΡ‚ΠΎΠ³ΠΎ Π½ΠΈΠ·ΠΊΠΎΡ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π½ΠΎΠΉ пастСризации, прСдставлСна  энтСрококками, Ρ‚Π΅Ρ€ΠΌΠΎΡ„ΠΈΠ»ΡŒΠ½Ρ‹ΠΌ стрСптококком, ΠΌΠΈΠΊΡ€ΠΎΠΊΠΎΠΊΠΊΠ°ΠΌΠΈ, стафилококками, аспорогСнными ΠΏΠ°Π»ΠΎΡ‡ΠΊΠ°ΠΌΠΈ ΠΈΒ  споровыми бактСриями.Β  Π’Ρ‹ΡˆΠ΅ΠΏΠ΅Ρ€Π΅Ρ‡ΠΈΡΠ»Π΅Π½Π½Ρ‹Π΅ ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΡ‹Β  ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‚ ΠΎΡΡ‚Π°Ρ‚ΠΎΡ‡Π½ΡƒΡŽ ΠΌΠΈΠΊΡ€ΠΎΡ„Π»ΠΎΡ€Ρƒ пастСризованного ΠΌΠΎΠ»ΠΎΠΊΠ° ΠΈ ΡƒΡ‡Π°ΡΡ‚Π²ΡƒΡŽΡ‚ Π² процСссах созрСвания сыров, опрСдСляя ΠΈΡ… качСство ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡ‚ΡŒ, Π²Π»ΠΈΡΡŽΡ‚ Π½Π° Ρ…Ρ€Π°Π½ΠΈΠΌΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ Π³ΠΎΡ‚ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π°

    Π’ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ примСнСния Π½Π°Ρ‚ΡƒΡ€Π°Π»ΡŒΠ½Ρ‹Ρ… сыров для производства ΠΏΠΈΡ†Ρ†Ρ‹

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    The paper presents the results of studying sensory, physico-chemical, structural-mechanical (rheological) and biochemical indicators as well as functional properties of natural cheeses of various type groups for a possibility of using as a main raw material to produce pizza. Cheeses were produced in the research-and-development shop of the All-Russian Scientific Research Institute of Butter- and Cheesemaking (VNIIMS) and purchased in the retail chain. Sensory indicators (taste and odor, consistency, appearance) and functional properties (shreddability, meltability, blistering, free oil release, browning, stretchability) of cheeses from various groups were assessed by 100-point scale for assessing cheeses for pizza developed in VNIIMS. Shreddability was determined before baking by grinding a cheese sample chilled to a temperature of 4 Β± 2 Β°C using a kitchen food grinder. Cheeses were baked at a temperature of 200 Β± 5 Β°C for 12 min. Meltability was determined by changes in the cheese diameter after high-temperature treatment and stretchability by the β€œfork test”. It has been found that physico-chemical, structural-mechanical and biochemical indicators of cheeses used as a raw material affected sensory characteristics and functional properties of the final product after baking. The correlation between the fat content, protein mass fraction and active acidity of cheeses and functional properties such as meltability, free oil release, stretchability and shreddability was confirmed with statistical significance. The highest correlation was noted between shreddability, mass fraction of total protein and consistency (correlation coefficients were 0.74 and 0.76, respectively). However, none of the studied cheese types corresponded to the full extent to the targeted functional properties. To produce pizza, it is preferable to use cheeses with cheddaring and thermal-mechanical processing of cheese mass as well as unripened semihard cheeses with low temperature of the second heating that are molded from a layer, and semihard cheeses with high temperature of the second heating.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСны Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования органолСптичСских, Ρ„ΠΈΠ·ΠΈΠΊΠΎ-химичСских, структурно-мСханичСских (рСологичСских) ΠΈ биохимичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… свойств Π½Π°Ρ‚ΡƒΡ€Π°Π»ΡŒΠ½Ρ‹Ρ… сыров Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π²ΠΈΠ΄ΠΎΠ²Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ для возмоТности использования Π² качСствС основного ΡΡ‹Ρ€ΡŒΡ с Ρ†Π΅Π»ΡŒΡŽ производства ΠΏΠΈΡ†Ρ†Ρ‹. Π‘Ρ‹Ρ€Ρ‹ Π²Ρ‹Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°Π»ΠΈΡΡŒ Π² ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΎΠΌ Ρ†Π΅Ρ…Π΅ Π’ΠΠ˜Π˜ΠœΠ‘ ΠΈ ΠΏΡ€ΠΈΠΎΠ±Ρ€Π΅Ρ‚Π°Π»ΠΈΡΡŒ Π² Ρ‚ΠΎΡ€Π³ΠΎΠ²ΠΎΠΉ сСти. ΠžΡ€Π³Π°Π½ΠΎΠ»Π΅ΠΏΡ‚ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ (вкус ΠΈ Π·Π°ΠΏΠ°Ρ…, консистСнция, внСшний Π²ΠΈΠ΄) ΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ свойства (Π½Π°Ρ‚ΠΈΡ€Π°Π΅ΠΌΠΎΡΡ‚ΡŒ, ΠΏΠ»Π°Π²ΠΈΠΌΠΎΡΡ‚ΡŒ, ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ блистСров, Π²Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ свободного ΠΆΠΈΡ€Π°, ΡΠ³ΠΎΡ€Π°Π΅ΠΌΠΎΡΡ‚ΡŒ, Ρ€Π°ΡΡ‚ΡΠΆΠΈΠΌΠΎΡΡ‚ΡŒ) сыров Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π»ΠΈ ΠΏΠΎ 100- балльной шкалС ΠΎΡ†Π΅Π½ΠΊΠΈ сыров для ΠΏΠΈΡ†Ρ†Ρ‹, Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠΉ Π²ΠΎ Π’ΠΠ˜Π˜ΠœΠ‘. ΠΠ°Ρ‚ΠΈΡ€Π°Π΅ΠΌΠΎΡΡ‚ΡŒ опрСдСляли Π΄ΠΎ Π²Ρ‹ΠΏΠ΅Ρ‡ΠΊΠΈ ΠΏΡƒΡ‚Π΅ΠΌ ΠΈΠ·ΠΌΠ΅Π»ΡŒΡ‡Π΅Π½ΠΈΡ ΠΎΡ…Π»Π°ΠΆΠ΄Π΅Π½Π½ΠΎΠ³ΠΎ Π΄ΠΎ 4 Β± 2 Β°C ΠΎΠ±Ρ€Π°Π·Ρ†Π° сыра Π½Π° ΠΊΡƒΡ…ΠΎΠ½Π½ΠΎΠΌ ΠΈΠ·ΠΌΠ΅Π»ΡŒΡ‡ΠΈΡ‚Π΅Π»Π΅ ΠΏΠΈΡ‰Π΅Π²Ρ‹Ρ… ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ². Π’Ρ‹ΠΏΠ΅Ρ‡ΠΊΡƒ сыров ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΏΡ€ΠΈ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ 200 Β± 5 Β°C Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 12 ΠΌΠΈΠ½. ΠŸΠ»Π°Π²ΠΈΠΌΠΎΡΡ‚ΡŒ опрСдСляли ΠΏΠΎ измСнСнию Π΄ΠΈΠ°ΠΌΠ΅Ρ‚Ρ€Π° сыра послС высокотСмпСратурной ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ, Π° Ρ€Π°ΡΡ‚ΡΠΆΠΈΠΌΠΎΡΡ‚ΡŒ β€” с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Π²ΠΈΠ»ΠΎΡ‡Π½ΠΎΠ³ΠΎ тСста. УстановлСно, Ρ‡Ρ‚ΠΎ Ρ„ΠΈΠ·ΠΈΠΊΠΎ-химичСскиС, структурно-мСханичСскиС ΠΈ биохимичСскиС ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ сыров, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΡ‹Ρ… Π² качСствС ΡΡ‹Ρ€ΡŒΡ, Π²Π»ΠΈΡΡŽΡ‚ Π½Π° органолСптичСскиС ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ ΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ свойства ΠΊΠΎΠ½Π΅Ρ‡Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° послС Π²Ρ‹ΠΏΠ΅Ρ‡ΠΊΠΈ. БтатистичСски достовСрно ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½Π° взаимосвязь ΠΌΠ΅ΠΆΠ΄Ρƒ содСрТаниСм ΠΆΠΈΡ€Π°, массовой Π΄ΠΎΠ»Π΅ΠΉ Π±Π΅Π»ΠΊΠ° ΠΈ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡ‚Π½ΠΎΡΡ‚ΡŒΡŽ сыров ΠΈ Ρ‚Π°ΠΊΠΈΠΌΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ свойствами, ΠΊΠ°ΠΊ ΠΏΠ»Π°Π²ΠΈΠΌΠΎΡΡ‚ΡŒ, Π²Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ свободного ΠΆΠΈΡ€Π°, Ρ€Π°ΡΡ‚ΡΠΆΠΈΠΌΠΎΡΡ‚ΡŒ ΠΈ Π½Π°Ρ‚ΠΈΡ€Π°Π΅ΠΌΠΎΡΡ‚ΡŒ. НаибольшСС взаимодСйствиС ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ ΠΌΠ΅ΠΆΠ΄Ρƒ Π½Π°Ρ‚ΠΈΡ€Π°Π΅ΠΌΠΎΡΡ‚ΡŒΡŽ, массовой Π΄ΠΎΠ»Π΅ΠΉ ΠΎΠ±Ρ‰Π΅Π³ΠΎ Π±Π΅Π»ΠΊΠ° ΠΈ консистСнциСй (коэффициСнт коррСляции Ρ€Π°Π²Π΅Π½ 0,74 ΠΈ 0,76 соотвСтствСнно). Однако Π½ΠΈ ΠΎΠ΄ΠΈΠ½ ΠΈΠ· исслСдованных Π²ΠΈΠ΄ΠΎΠ² сыра Π² ΠΏΠΎΠ»Π½ΠΎΠΉ ΠΌΠ΅Ρ€Π΅ Π½Π΅ соотвСтствуСт искомым Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌ свойствам. Для производства ΠΏΠΈΡ†Ρ†Ρ‹ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΡ€Π΅Π΄ΠΏΠΎΡ‡Ρ‚ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ сыры с Ρ‡Π΅Π΄Π΄Π΅Ρ€ΠΈΠ·Π°Ρ†ΠΈΠ΅ΠΉ ΠΈ тСрмомСханичСской ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΎΠΉ сырной массы, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π½Π΅Π·Ρ€Π΅Π»Ρ‹Π΅ ΠΏΠΎΠ»ΡƒΡ‚Π²Π΅Ρ€Π΄Ρ‹Π΅ сыры с Π½ΠΈΠ·ΠΊΠΎΠΉ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€ΠΎΠΉ Π²Ρ‚ΠΎΡ€ΠΎΠ³ΠΎ нагрСвания, Ρ„ΠΎΡ€ΠΌΡƒΠ΅ΠΌΡ‹Π΅ ΠΈΠ· пласта, ΠΈ ΠΏΠΎΠ»ΡƒΡ‚Π²Π΅Ρ€Π΄Ρ‹Π΅ сыры с высокой Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€ΠΎΠΉ Π²Ρ‚ΠΎΡ€ΠΎΠ³ΠΎ нагрСвания
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