61 research outputs found
STUDY OF FATTY ACID COMPOSITION OF MILK FOR CHEESE PRODUCTION
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 cowβs 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 cowβs 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
In the classical experimental design setting, an experimenter E has access to
a population of potential experiment subjects , each
associated with a vector of features . Conducting an experiment
with subject reveals an unknown value to E. E typically assumes
some hypothetical relationship between 's and 's, e.g., , and estimates 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 . Each subject declares an associated cost 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 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 ; our objective
function corresponds to the information gain in parameter that is
learned through linear regression methods, and is related to the so-called
-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 and , we can construct a (12.98, )-approximate mechanism that is
-truthful and runs in polynomial time in both and
. 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
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 (Gβ) and dynamic viscosity (hβ). 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
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
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
-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
ΠΡΠ΅Π½ΠΊΠ° ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠΈΡΠΊΠΎΠ² Π² ΡΠ»ΠΈΠ²ΠΊΠ°Ρ ΠΊΠ°ΠΊ ΡΡΡΡΠ΅ Π΄Π»Ρ ΠΌΠ°ΡΠ»ΠΎΠ΄Π΅Π»ΠΈΡ
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 ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ²: ΠΠΠΠ, ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΊΠΈΡΠ»ΡΡ
ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ², Π΄ΡΠΎΠΆΠΆΠ΅ΠΉ, ΡΠΏΠΎΡΠΎΠ²ΡΡ
Π±Π°ΠΊΡΠ΅ΡΠΈΠΉ Π½Π° ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΈ Ρ
ΡΠ°Π½ΠΈΠΌΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΡΠ»ΠΈΠ²ΠΎΠΊ-ΡΡΡΡΡ Π΄Π»Ρ ΠΌΠ°ΡΠ»ΠΎΠ΄Π΅Π»ΠΈΡ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ»ΡΠΆΠΈΠ»ΠΈ: ΡΠ»ΠΈΠ²ΠΊΠΈ-ΡΡΡΡΠ΅ Π΄ΠΎ ΠΈ ΠΏΠΎΡΠ»Π΅ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ»ΠΈΠ²ΠΊΠΈ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠ΅, ΠΊΠΎΠ½ΡΠ°ΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΡΠ΅ΡΡ-ΠΊΡΠ»ΡΡΡΡΠ°ΠΌΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΏΠΎΡΡΠΈ. Π₯ΡΠ°Π½Π΅Π½ΠΈΠ΅ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ ΠΏΡΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΡΡ
ΡΠ΅ΠΆΠΈΠΌΠ°Ρ
30 Β± 1 Β°C, 10 Β± 1 Β°C ΠΈ 4 Β± 2 Β°C. ΠΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΈ Ρ
ΡΠ°Π½ΠΈΠΌΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΡΠ»ΠΈΠ²ΠΎΠΊ-ΡΡΡΡΡ ΡΡΠ°Π½Π΄Π°ΡΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΠΈΡ
ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ: Π±Π°ΠΊΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ ΠΎΠ±ΡΠ΅ΠΌΠ΅Π½Π΅Π½Π½ΠΎΡΡΡ, ΡΠΈΡΡΡΠ΅ΠΌΡΡ ΠΊΠΈΡΠ»ΠΎΡΠ½ΠΎΡΡΡ, ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΎΠΊΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΏΠΎΡΡΠΈ ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠ°Π·Ρ. ΠΡΠ³Π°Π½ΠΎΠ»Π΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ ΠΏΠΎ Π²ΠΊΡΡΡ, ΠΊΠΎΠ½ΡΠΈΡΡΠ΅Π½ΡΠΈΠΈ ΠΈ Π²Π½Π΅ΡΠ½Π΅ΠΌΡ Π²ΠΈΠ΄Ρ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠ΅ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΈΡΠΊΠΈ ΠΏΡΠΈ Ρ
ΡΠ°Π½Π΅Π½ΠΈΠΈ ΡΡΡΡΡ
ΡΠ»ΠΈΠ²ΠΎΠΊ ΡΠ²ΡΠ·Π°Π½Ρ Ρ Π»Π°ΠΊΡΠΎΠΊΠΎΠΊΠΊΠ°ΠΌΠΈ, ΠΠΠΠ ΠΈ Π΄ΡΠΎΠΆΠΆΠ°ΠΌΠΈ. ΠΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΈΡΠΊΠΈ, ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π½ΡΠ΅ ΠΎΠ±ΡΠ΅ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠ»ΠΈΠ²ΠΎΠΊ ΡΠ΅ΡΠΌΠΎΡΠΈΠ»ΡΠ½ΡΠΌ ΡΡΡΠ΅ΠΏΡΠΎΠΊΠΎΠΊΠΊΠΎΠΌ, ΡΠΏΠΎΡΠΎΠ²ΡΠΌΠΈ Π±Π°ΠΊΡΠ΅ΡΠΈΡΠΌΠΈ ΡΠΎΠ΄Π° Bacillus ΠΈ ΡΠΏΠΎΡΠΎΠ²ΡΠΌΠΈ Π°Π½Π°ΡΡΠΎΠ±Π½ΡΠΌΠΈ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ°ΠΌΠΈ ΡΠΎΠ΄Π° Clostridium, ΠΌΠ΅Π½Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡ, ΡΡΠΎ ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΠ·ΠΌΠ° Π΄Π°Π½Π½ΡΡ
Π³ΡΡΠΏΠΏ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΏΡΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ°Ρ
Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ 10 Β± 1 Β°C ΠΈ 4 Β± 2 Β°C. ΠΡΠΈ ΡΡΠΎΠΌ ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΄Π»Ρ Π·Π°Π±ΡΠ°ΠΊΠΎΠ²ΠΊΠΈ ΡΠ»ΠΈΠ²ΠΎΠΊ, ΠΊΠΎΠ½ΡΠ°ΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΠΌΠΈ ΡΠ΅ΡΡ-ΠΊΡΠ»ΡΡΡΡΠ°ΠΌΠΈ, ΠΏΡΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ΅ Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ 4 Β± 2 Β°C Π² ΠΏΠ΅ΡΠ²ΡΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΠΎΡΠ³Π°Π½ΠΎΠ»Π΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, Π° ΠΏΡΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ΅ 10 Β± 1 Β°C β ΠΏΡΠ΅Π²ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎ Π±Π°ΠΊΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ΅ΠΌΠ΅Π½Π΅Π½Π½ΠΎΡΡΠΈ
Transforming growth factor Ξ²1 (TGF-Ξ²1) in patients with endocrine ophthalmopathy and Gravesβ disease: A predictor of treatment efficiency
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 Gravesβ 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
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΎΡΡΠ°Π²Π° ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΠΌΠΈΠΊΡΠΎΡΠ»ΠΎΡΡ ΠΌΠΎΠ»ΠΎΠΊΠ° ΠΏΠΎΡΠ»Π΅ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ
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 10β20Β 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 ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΡΒ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠΎΡΡΠ°Π²Π° ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΠΌΠΈΠΊΡΠΎΡΠ»ΠΎΡΡΒ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ»ΠΎΠΊΠ° Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Π±Π°ΠΊΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠ΅ΠΉΠ·Π°ΠΆΠ° ΠΈ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠΉ ΠΎΠ±ΡΠ΅ΠΌΠ΅Π½Π΅Π½Π½ΠΎΡΡΠΈ ΡΡΡΠΎΠ³ΠΎΒ ΠΌΠΎΠ»ΠΎΠΊΠ°. ΠΠ·ΡΡΠ΅Π½Π° ΡΠ΅ΡΠΌΠΎΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΡΡΡ ΡΠ΅ΡΡ-ΠΊΡΠ»ΡΡΡΡ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ², Π·Π½Π°ΡΠΈΠΌΠΎ Π²Π»ΠΈΡΡΡΠΈΡ
Π½Π° ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΈ Ρ
ΡΠ°Π½ΠΈΠΌΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΡΠ΅ΡΠΌΠ΅Π½ΡΠΈΡΡΠ΅ΠΌΡΡ
Β ΠΌΠΎΠ»ΠΎΡΠ½ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ². ΠΠ»ΡΒ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠ°Π²Π° ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΠΌΠΈΠΊΡΠΎΡΠ»ΠΎΡΡ ΠΌΠΎΠ»ΠΎΠΊΠ° ΠΏΠΎΡΠ»Π΅Β ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ ΡΡΠ΅ΡΠΈΠ»ΡΠ½ΠΎΠ΅ ΠΌΠΎΠ»ΠΎΠΊΠΎ Π·Π°ΡΠ°ΠΆΠ°Π»ΠΈ ΡΠ΅ΡΡ-ΠΊΡΠ»ΡΡΡΡΠ°ΠΌΠΈ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ²Β Π² Π΄ΠΎΠ·Π°Ρ
ΠΎΡΒ 101 ΠΠΠ/ΡΠΌ3 Π΄ΠΎ 107 ΠΠΠ/ΡΠΌ3.Β ΠΠΎΡΠ»Π΅Β Π·Π°ΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΌΠΎΠ»ΠΎΠΊΠΎ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»ΠΈ ΠΏΡΠΈΒ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ°Ρ
(72 Β± 1)Β Β°C ΠΈΒ (80 Β± 1) Β°C Ρ Π²ΡΠ΄Π΅ΡΠΆΠΊΠΎΠΉ 10β20Β ΡΠ΅ΠΊΡΠ½Π΄.Β ΠΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΈΒ ΠΏΠΎΠ΄ΡΡΠ΅Ρ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ²Β ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠΌΠΈ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ. ΠΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΎΠΉ Π³ΠΎΡΠΏΠΎΠ΄ΡΡΠ²ΡΡΡΠΈΡ
ΠΊΠΎΠ»ΠΎΠ½ΠΈΠΉ ΠΈ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΊΠ»Π΅ΡΠΎΠΊ Π² ΠΌΠΈΠΊΡΠΎΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°Ρ
. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π° ΡΠ΅ΡΠΌΠΎΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΡΡΡ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ², Π·Π½Π°ΡΠΈΠΌΡΡ
Π΄Π»ΡΒ ΠΌΠΎΠ»ΠΎΡΠ½ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ², Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΡΡΡΠΎΠ²,Β ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠΌ ΠΊΠΎΡΠΎΡΡΡ
ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΡΡΠΎΠ΅Β ΠΌΠΎΠ»ΠΎΠΊΠΎ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΠΈΠ· ΠΊΠΎΠΊΠΊΠΎΠ²ΡΡ
ΡΠΎΡΠΌΒ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠ΅ ΡΠΈΡΠΊΠΈΒ ΡΠ²ΡΠ·Π°Π½Ρ Ρ ΡΠ½ΡΠ΅ΡΠΎΠΊΠΎΠΊΠΊΠ°ΠΌΠΈ. ΠΠΈΡΠ΅ΡΠ½Π°Ρ ΠΏΠ°Π»ΠΎΡΠΊΠ° ΠΏΡΠΈ Π΄ΠΎΠ·Π°Ρ
Β Π·Π°ΡΠ°ΠΆΠ΅Π½ΠΈΡ Π²ΡΡΠ΅ 106 ΠΠΠ/ΡΠΌ3Β ΡΠ°ΡΡΠΈΡΠ½ΠΎ ΡΠΎΡ
ΡΠ°Π½ΡΠ΅Ρ ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΠΊΠ°ΠΊ ΠΏΡΠΈ Π½ΠΈΠ·ΠΊΠΎΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠΉ, ΡΠ°ΠΊ ΠΈ ΠΏΡΠΈ Π²ΡΡΠΎΠΊΠΎΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠΉ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ. ΠΠ° ΡΠΏΠΎΡΠΎΠ²ΡΠ΅ ΠΏΠ°Π»ΠΎΡΠΊΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈΒ Π½Π΅Β ΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ, ΠΈΡ
Β ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ Π² ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΌ ΠΌΠΎΠ»ΠΎΠΊΠ΅ Π½Π΅ ΡΠ½ΠΈΠΆΠ°Π΅ΡΡΡ, Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΠΎ ΠΎΡ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠΉ Π΄ΠΎΠ·ΡΒ Π·Π°ΡΠ°ΠΆΠ΅Π½ΠΈΡ. ΠΠΈΠ·ΠΊΠΎΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½Π°Ρ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΡ Π°ΠΊΡΠΈΠ²ΠΈΠ·ΠΈΡΡΠ΅Ρ ΠΏΡΠΎΡΠ΅ΡΡ ΠΏΡΠΎΡΠ°ΡΡΠ°Π½ΠΈΡ ΡΠΏΠΎΡΒ ΠΊΠ»ΠΎΡΡΡΠΈΠ΄ΠΈΠΉ. Π‘ΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΠΊ ΡΠ΅Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ ΠΊΠ»Π΅ΡΠΎΠΊ ΠΏΠΎΡΠ»Π΅ ΡΠ΅ΡΠΌΠΎΡΠΎΠΊΠ° Π½Π°Π±Π»ΡΠ΄Π°Π»Π°ΡΡ Ρ ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠΉ ΠΏΠ°Π»ΠΎΡΠΊΠΈ, ΡΡΠ°ΡΠΈΠ»ΠΎΠΊΠΎΠΊΠΊΠ°, ΠΏΡΠ΅Π²Π΄ΠΎΠΌΠΎΠ½Π°Π΄ ΠΈ ΠΏΠ»Π΅ΡΠ½Π΅Π²ΡΡ
Π³ΡΠΈΠ±ΠΎΠ². Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΎΡΡΠ°ΡΠΎΡΠ½Π°Ρ ΠΌΠΈΠΊΡΠΎΡΠ»ΠΎΡΠ° ΠΌΠΎΠ»ΠΎΠΊΠ°, ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π½ΡΡΠΎΠ³ΠΎ Π½ΠΈΠ·ΠΊΠΎΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠΉ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π°Β ΡΠ½ΡΠ΅ΡΠΎΠΊΠΎΠΊΠΊΠ°ΠΌΠΈ, ΡΠ΅ΡΠΌΠΎΡΠΈΠ»ΡΠ½ΡΠΌ ΡΡΡΠ΅ΠΏΡΠΎΠΊΠΎΠΊΠΊΠΎΠΌ, ΠΌΠΈΠΊΡΠΎΠΊΠΎΠΊΠΊΠ°ΠΌΠΈ, ΡΡΠ°ΡΠΈΠ»ΠΎΠΊΠΎΠΊΠΊΠ°ΠΌΠΈ, Π°ΡΠΏΠΎΡΠΎΠ³Π΅Π½Π½ΡΠΌΠΈ ΠΏΠ°Π»ΠΎΡΠΊΠ°ΠΌΠΈ ΠΈΒ ΡΠΏΠΎΡΠΎΠ²ΡΠΌΠΈ Π±Π°ΠΊΡΠ΅ΡΠΈΡΠΌΠΈ.Β ΠΡΡΠ΅ΠΏΠ΅ΡΠ΅ΡΠΈΡΠ»Π΅Π½Π½ΡΠ΅ ΠΌΠΈΠΊΡΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΡΒ ΡΠΎΡΡΠ°Π²Π»ΡΡΡ ΠΎΡΡΠ°ΡΠΎΡΠ½ΡΡ ΠΌΠΈΠΊΡΠΎΡΠ»ΠΎΡΡ ΠΏΠ°ΡΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ»ΠΎΠΊΠ° ΠΈ ΡΡΠ°ΡΡΠ²ΡΡΡ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ°Ρ
ΡΠΎΠ·ΡΠ΅Π²Π°Π½ΠΈΡ ΡΡΡΠΎΠ², ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡ ΠΈΡ
ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡ, Π²Π»ΠΈΡΡΡ Π½Π° Ρ
ΡΠ°Π½ΠΈΠΌΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ Π³ΠΎΡΠΎΠ²ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ°
ΠΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π½Π°ΡΡΡΠ°Π»ΡΠ½ΡΡ ΡΡΡΠΎΠ² Π΄Π»Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΠΈΡΡΡ
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 βfork testβ. 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 ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ³Π°Π½ΠΎΠ»Π΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΡΡΡΠΊΡΡΡΠ½ΠΎ-ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
(ΡΠ΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
) ΠΈ Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠ²ΠΎΠΉΡΡΠ² Π½Π°ΡΡΡΠ°Π»ΡΠ½ΡΡ
ΡΡΡΠΎΠ² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²ΠΈΠ΄ΠΎΠ²ΡΡ
Π³ΡΡΠΏΠΏ Π΄Π»Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠ³ΠΎ ΡΡΡΡΡ Ρ ΡΠ΅Π»ΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΠΈΡΡΡ. Π‘ΡΡΡ Π²ΡΡΠ°Π±Π°ΡΡΠ²Π°Π»ΠΈΡΡ Π² ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΌ ΡΠ΅Ρ
Π΅ ΠΠΠΠΠΠ‘ ΠΈ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°Π»ΠΈΡΡ Π² ΡΠΎΡΠ³ΠΎΠ²ΠΎΠΉ ΡΠ΅ΡΠΈ. ΠΡΠ³Π°Π½ΠΎΠ»Π΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ (Π²ΠΊΡΡ ΠΈ Π·Π°ΠΏΠ°Ρ
, ΠΊΠΎΠ½ΡΠΈΡΡΠ΅Π½ΡΠΈΡ, Π²Π½Π΅ΡΠ½ΠΈΠΉ Π²ΠΈΠ΄) ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π° (Π½Π°ΡΠΈΡΠ°Π΅ΠΌΠΎΡΡΡ, ΠΏΠ»Π°Π²ΠΈΠΌΠΎΡΡΡ, ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π±Π»ΠΈΡΡΠ΅ΡΠΎΠ², Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ²ΠΎΠ±ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΆΠΈΡΠ°, ΡΠ³ΠΎΡΠ°Π΅ΠΌΠΎΡΡΡ, ΡΠ°ΡΡΡΠΆΠΈΠΌΠΎΡΡΡ) ΡΡΡΠΎΠ² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ ΠΏΠΎ 100- Π±Π°Π»Π»ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π»Π΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΠΎΠ² Π΄Π»Ρ ΠΏΠΈΡΡΡ, ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠΉ Π²ΠΎ ΠΠΠΠΠΠ‘. ΠΠ°ΡΠΈΡΠ°Π΅ΠΌΠΎΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ Π΄ΠΎ Π²ΡΠΏΠ΅ΡΠΊΠΈ ΠΏΡΡΠ΅ΠΌ ΠΈΠ·ΠΌΠ΅Π»ΡΡΠ΅Π½ΠΈΡ ΠΎΡ
Π»Π°ΠΆΠ΄Π΅Π½Π½ΠΎΠ³ΠΎ Π΄ΠΎ 4 Β± 2 Β°C ΠΎΠ±ΡΠ°Π·ΡΠ° ΡΡΡΠ° Π½Π° ΠΊΡΡ
ΠΎΠ½Π½ΠΎΠΌ ΠΈΠ·ΠΌΠ΅Π»ΡΡΠΈΡΠ΅Π»Π΅ ΠΏΠΈΡΠ΅Π²ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ². ΠΡΠΏΠ΅ΡΠΊΡ ΡΡΡΠΎΠ² ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΏΡΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ΅ 200 Β± 5 Β°C Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 12 ΠΌΠΈΠ½. ΠΠ»Π°Π²ΠΈΠΌΠΎΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΠΏΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π΄ΠΈΠ°ΠΌΠ΅ΡΡΠ° ΡΡΡΠ° ΠΏΠΎΡΠ»Π΅ Π²ΡΡΠΎΠΊΠΎΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ, Π° ΡΠ°ΡΡΡΠΆΠΈΠΌΠΎΡΡΡ β Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π²ΠΈΠ»ΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΡΡΠ°. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅, ΡΡΡΡΠΊΡΡΡΠ½ΠΎ-ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΡΡΠΎΠ², ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΡΡΡΡ, Π²Π»ΠΈΡΡΡ Π½Π° ΠΎΡΠ³Π°Π½ΠΎΠ»Π΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π° ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° ΠΏΠΎΡΠ»Π΅ Π²ΡΠΏΠ΅ΡΠΊΠΈ. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π° Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ ΠΆΠΈΡΠ°, ΠΌΠ°ΡΡΠΎΠ²ΠΎΠΉ Π΄ΠΎΠ»Π΅ΠΉ Π±Π΅Π»ΠΊΠ° ΠΈ Π°ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΠ½ΠΎΡΡΡΡ ΡΡΡΠΎΠ² ΠΈ ΡΠ°ΠΊΠΈΠΌΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌΠΈ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌΠΈ, ΠΊΠ°ΠΊ ΠΏΠ»Π°Π²ΠΈΠΌΠΎΡΡΡ, Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ²ΠΎΠ±ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΆΠΈΡΠ°, ΡΠ°ΡΡΡΠΆΠΈΠΌΠΎΡΡΡ ΠΈ Π½Π°ΡΠΈΡΠ°Π΅ΠΌΠΎΡΡΡ. ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠ΅Π΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΎΡΠΌΠ΅ΡΠ΅Π½ΠΎ ΠΌΠ΅ΠΆΠ΄Ρ Π½Π°ΡΠΈΡΠ°Π΅ΠΌΠΎΡΡΡΡ, ΠΌΠ°ΡΡΠΎΠ²ΠΎΠΉ Π΄ΠΎΠ»Π΅ΠΉ ΠΎΠ±ΡΠ΅Π³ΠΎ Π±Π΅Π»ΠΊΠ° ΠΈ ΠΊΠΎΠ½ΡΠΈΡΡΠ΅Π½ΡΠΈΠ΅ΠΉ (ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ ΡΠ°Π²Π΅Π½ 0,74 ΠΈ 0,76 ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ). ΠΠ΄Π½Π°ΠΊΠΎ Π½ΠΈ ΠΎΠ΄ΠΈΠ½ ΠΈΠ· ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² ΡΡΡΠ° Π² ΠΏΠΎΠ»Π½ΠΎΠΉ ΠΌΠ΅ΡΠ΅ Π½Π΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΠ΅Ρ ΠΈΡΠΊΠΎΠΌΡΠΌ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌ. ΠΠ»Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΠΈΡΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΡΡΡΡ Ρ ΡΠ΅Π΄Π΄Π΅ΡΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΠΈ ΡΠ΅ΡΠΌΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΎΠΉ ΡΡΡΠ½ΠΎΠΉ ΠΌΠ°ΡΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ Π½Π΅Π·ΡΠ΅Π»ΡΠ΅ ΠΏΠΎΠ»ΡΡΠ²Π΅ΡΠ΄ΡΠ΅ ΡΡΡΡ Ρ Π½ΠΈΠ·ΠΊΠΎΠΉ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠΎΠΉ Π²ΡΠΎΡΠΎΠ³ΠΎ Π½Π°Π³ΡΠ΅Π²Π°Π½ΠΈΡ, ΡΠΎΡΠΌΡΠ΅ΠΌΡΠ΅ ΠΈΠ· ΠΏΠ»Π°ΡΡΠ°, ΠΈ ΠΏΠΎΠ»ΡΡΠ²Π΅ΡΠ΄ΡΠ΅ ΡΡΡΡ Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠΎΠΉ Π²ΡΠΎΡΠΎΠ³ΠΎ Π½Π°Π³ΡΠ΅Π²Π°Π½ΠΈΡ
- β¦