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Research article Special Issues

Multi-stable and spatiotemporal staggered patterns in a predator-prey model with predator-taxis and delay


  • The effects of predator-taxis and conversion time delay on formations of spatiotemporal patterns in a predator-prey model are explored. First, the well-posedness, which implies global existence of classical solutions, is proved. Then, we establish critical conditions for the destabilization of the coexistence equilibrium via Turing/Turing-Turing bifurcations by describing the first Turing bifurcation curve; we also theoretically predict possible bistable/multi-stable spatially heterogeneous patterns. Next, we demonstrate that the coexistence equilibrium can also be destabilized via Hopf, Hopf-Hopf and Turing-Hopf bifurcations; also possible stable/bistable spatially inhomogeneous staggered periodic patterns and bistable spatially inhomogeneous synchronous periodic patterns are theoretically predicted. Finally, numerical experiments also support theoretical predictions and partially extend them. In a word, theoretical analyses indicate that, on the one hand, strong predator-taxis can eliminate spatial patterns caused by self-diffusion; on the other hand, the joint effects of predator-taxis and conversion time delay can induce complex survival patterns, e.g., bistable spatially heterogeneous staggered/synchronous periodic patterns, thus diversifying populations' survival patterns.

    Citation: Yue Xing, Weihua Jiang, Xun Cao. Multi-stable and spatiotemporal staggered patterns in a predator-prey model with predator-taxis and delay[J]. Mathematical Biosciences and Engineering, 2023, 20(10): 18413-18444. doi: 10.3934/mbe.2023818

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  • The effects of predator-taxis and conversion time delay on formations of spatiotemporal patterns in a predator-prey model are explored. First, the well-posedness, which implies global existence of classical solutions, is proved. Then, we establish critical conditions for the destabilization of the coexistence equilibrium via Turing/Turing-Turing bifurcations by describing the first Turing bifurcation curve; we also theoretically predict possible bistable/multi-stable spatially heterogeneous patterns. Next, we demonstrate that the coexistence equilibrium can also be destabilized via Hopf, Hopf-Hopf and Turing-Hopf bifurcations; also possible stable/bistable spatially inhomogeneous staggered periodic patterns and bistable spatially inhomogeneous synchronous periodic patterns are theoretically predicted. Finally, numerical experiments also support theoretical predictions and partially extend them. In a word, theoretical analyses indicate that, on the one hand, strong predator-taxis can eliminate spatial patterns caused by self-diffusion; on the other hand, the joint effects of predator-taxis and conversion time delay can induce complex survival patterns, e.g., bistable spatially heterogeneous staggered/synchronous periodic patterns, thus diversifying populations' survival patterns.



    A daily food ration should provide a person with all the necessary nutrients and energy. As a result of research conducted by nutritionists, it has been found that there is a significant deficiency of protein, polyunsaturated fatty acids, vitamins and some micro- and macro-elements in human nutrition, while carbohydrates and fats, on the contrary, are in excess. In this regard, scientists are faced with the task of creating food additives, the chemical composition of which can increase the nutritional value of traditional dishes and food products, allowing balancing and enriching the human food ration and reducing the deficiency of many important nutritional elements [1]. In order to enrich products with protein, minerals, vitamins and fiber, as well as giving them different natural range of colors as a product containing biologically active substances, the plant raw materials (beans, vegetables, etc.) are widely used [2,3,4,5].

    Sweet pepper is widely used in cooking. It is rich in minerals, vitamins C, A, group B. Mushrooms (ceps, orange-cap boletus, etc.) are a valuable product, allow to improve the taste properties of food and diversify nutrition. They contain 8–21% lipids, as well as a significant amount of extractive and aromatic substances that determine the taste properties. A relatively large amount of protein and chitin-like structure of fiber (fungin) bring mushrooms closer to meat products [6].

    The Amur region comes first in soybean production in Russia. The protein contained in the beans of this agricultural crop is rich in amino acids, including essential. Therefore, soybean is a promising raw material for obtaining high-protein food additives and products. Numerous studies have established that the systematic usage of soy products greatly reduces the risk of the most common and dangerous diseases, such as atherosclerosis, coronary heart disease, hypertension, diabetes, etc. Soya beans contain large quantities of polyunsaturated fatty acids (PUFA), phospholipids, isoflavones, tocopherols, pectin, and other valuable substances that have a therapeutic effect on the human body [7,8,9,10,11].

    Food concentrates are multi-component dry mixtures that are convenient for speedy cook at home. They are stored for a long time without special conditions, since they are deprived of most of the water. Currently, the range of food concentrates is quite wide. At present, dry mixtures of sauces have obtained a wide circulation due to the simplicity of their usage and the possibility of application when preparing a large assortment of culinary dishes. Improving the production technology of food concentrates, with the inclusion of soy additives in the composition, will expand the product range of this group [12,13,14].

    The goal of research: development of technology for food concentrates of culinary sauces with the increased nutritional and biological value using soy-pepper and soy-mushroom food additives.

    In this connection, it was necessary to solve the following tasks:

    - develop recipes and technology of food concentrates «Sour-sweet sauce with PVC» and «Mushroom sauce with PVC» using the food additives based on soya beans, mushrooms and sweet pepper;

    - substantiate the dosage of the combined food additives introduced into the dry mixtures of sauces;

    - conduct a comparative assessment of the nutritional and biological value of analogues and developed food concentrates;

    - evaluate organoleptic characteristics of analogues and developed food concentrates.

    The object of research was dry mixtures of food concentrates of sauces with the addition of PVC, created on the basis of soya beans. To increase the taste and organoleptic properties of PVC, dried mushrooms (Technical specifications (TS) 9164-014-23158063-10, OOO «Si-Product») and fresh sweet pepper (GOST 34325-2017) were introduced into their composition. The basis of PVC was the soya beans of variety Persona, selected by the FSBSI ARSRI of Soybean (patent no. 6857 of March 19, 2013).

    The chemical composition of food concentrates «Sour-sweet sauce with PVC» and «Mushroom sauce with PVC» was determined by the following methods: fat, protein, carbohydrates, amino acids, minerals (potassium, phosphorus, calcium, magnesium) and fiber were determined with the use of «FOSSNIR System 5000» infrared scanner by the near-infrared spectroscopy method; moisture—by the method of drying to constant mass; total ash content—by the method based on obtaining a residue of mineral substances, which is formed as a result of complete combustion of the organic part of the product sample and the following gravimetric determination of the mass fraction for ash; vitamin C was determined by the titrimetric method, which is based on extracting vitamin C with a solution of hydrochloric acid followed by the titration with a potentiometric solution of sodium 2, 6-dichlorophenolindophenolate until obtaining the light pink color; vitamin E—by the high-performance liquid chromatography method. The organoleptic indicators were studied by evaluating the appearance, color, smell, taste, consistency.

    The following equipment was used to prepare PVC: SoyabellaSB-130 extractor (Tribest, China), press manual PI 10 for pressing the liquid fraction (CELMS, Italy), Veterok-5ESOF-0.5/220 dehydrator (Spektr-Pribor, Russia), electronic scales SF-400 (eTya, China), laboratory mill LZM-1 (Ukraine, «OLIS»).

    The processing of experimental data was carried out with the use of Statistica 6.0.

    The balance of amino acid composition of protein of analogues and model samples of food concentrates was assessed in comparison to the standard of FAO/WHO scale with the use of formalized indicators. A qualitative assessment of the being compared proteins is that the higher the values of balance coefficient of the amino acid composition (BCAC) or less than the value of the imbalance coefficient of the amino acid composition (ICAC) and the values of deflection coefficient of the amino acid composition (DCAC) from the reference ones, the better the essential amino acids are balanced and the more rational they are can be used by the body (ideally BCAC = 1; ICAC = 0, DCAC = 0) [15].

    The results of sensory evaluation of ready meals, prepared from analogues and developed food concentrates, are described by the quantitative descriptor-profile analysis method. For this, the most significant organoleptic properties of the developed products and their analogues (descriptors) were determined, and in order to obtain a numerical parameter for intensity perception of sensory attribute, the graphic profilograms were constructed using an intensity scale of descriptors. The construction of organoleptic profiles was performed on clusters (descriptors): appearance; consistency; characteristics of taste, aroma and flavor [16].

    As a result of the conducted research, the technologies for preparation of PVC have been developed, which are valuable nutrient additives, rich in protein, fat, and minerals. PVC contain significant amounts of vitamins E, C and can be used to enrich food products (Tables 1, 2 and 3), that is consistent with the literature data [17,18,19].

    Table 1.  Organoleptic characteristics of PVC.
    Indicators Characteristic
    PVC with mushrooms PVC with pepper
    Appearance Dry granules with a rough surface, the same size throughout the mass, without foreign inclusions Dry granules with a rough surface, the same size throughout the mass, without foreign inclusions
    Consistency Particles are porous, fragile, moderately breakable Particles are porous, fragile, moderately breakable
    Color From brown to dark-brown with shades Light red (color of pepper), homogeneous by the whole mass with shades, uniform throughout the mass
    Smell Moderately pronounced, pleasant, with the aroma of mushrooms without foreign smell Moderately pronounced, pleasant, with the aroma of pepper without foreign smell
    Taste Moderately pronounced, pleasant, with mushroom taste without foreign flavor Moderately pronounced, pleasant, with pepper taste without foreign flavor

     | Show Table
    DownLoad: CSV
    Table 2.  Nutritional value of PVC (the number of replicates in the experiment is 4).
    Name of product Mass fraction (%) Energy value, kilocalories
    water protein fat carbohydrates dietary fibers minerals
    Soy-pepper PVC 10.0 ± 0.1 3.1 ± 0.1 7.4 ± 0.1 33.3 ± 0.5 7.2 ± 0.1 12.0 ± 0.2 320.0
    Soy-mushroom PVC 12.0 ± 0.1 43.7 ± 0.4 17.2 ± 0.2 13.6 ± 0.2 5.8 ± 0.1 7.7 ± 0.1 384.0

     | Show Table
    DownLoad: CSV
    Table 3.  Mass fraction of minerals and vitamins in PVC (the number of replicates in the experiment is 4).
    Name of product Mass fraction (mg/100 g)
    К P Ca Mg vitamin Е vitamin С
    Soy-pepper PVC 2701 ± 26 1244 ± 12 608 ± 8 583 ± 6 9.6 ± 0.1 150 ± 2
    Soy-mushroom PVC 1977 ± 20 312 ± 5 558 ± 6 507 ± 5 10.6 ± 0.1 148 ± 2

     | Show Table
    DownLoad: CSV

    Soya beans are inspected, removing damaged and faulty specimens, washed and soaked in water at a temperature of 18–20 ℃ for swelling. Red sweet fresh pepper are washed, cleaned and divided into pieces with the size of the faces 10 × 10 mm. The swollen soya beans are separated from the water and mixed with the cut pepper. Water is added to the mixture in a ratio of 1:6 and extracted it to obtain a soy-pepper suspension. The suspension is filtered, separating the liquid and solid fractions. For the formation of a coagulation structure, a combined coagulant consisting of a composition of ascorbic and succinic acids, taken in a 2:1 ratio, is introduced into the liquid fraction. At the end of the process of structure formation, the formed clot is separated from the formed serum by pressing. The clot is molded in the form of flakes, bringing them to a moisture content of 10% by convective drying [20].

    After inspection and washing, soya beans are soaked in water at 18–20 ℃. In order to obtain a soy-mushroom PVC, a mixture of dried ceps and orange-cap boletus are used. Dried orange-cap boletus and ceps in a ratio of 1:2 are soaked in water for swelling, washed in running water to remove extraneous impurities and purify from mucilaginous materials. Mushrooms are grinded up into pieces with a face size of not more than 10 mm and mixed with the swollen beans in a ratio of 1:1. Water is added to the mixture in a ratio of 1:6 and extracted to obtain a soy-mushroom suspension. The suspension is filtered, separating into the liquid and solid fractions. Ascorbic acid solution is added to the liquid fraction to coagulate protein substances. The formed clot is separated from the serum by pressing, molded granules with a diameter of 5–6 mm and dried by convective drying to a moisture content of not more than 12%.

    As a result of the above-mentioned operations, soy-pepper and soy-mushroom solid fractions are obtained. They are rich in protein (13.3–15.2%) and fiber (22.3–25.8%) with a water content of 9.0–9.3%, and they can also be used as enriching food additives in the production of traditional foodstuffs [19,21,22].

    Dried PVC, obtained in this way, was used as additives in the manufacture of food concentrates of culinary sauces [20].

    «Sour-sweet sauce» and «Mushroom sauce» is taken as a basis. PVC was introduced into the composition of dry mixtures in powder form. This is due to the fact that the culinary sauces are powdered mixtures with evenly distributed recipe components. Granulated PVC do not allow to achieve the required structural and mechanical characteristics, they are not destroyed during rehydration and cooking, retain their shape, and thus have a bad influence on the viscosity and fluidity of the colloidal system of the finished sauce [20,23].

    Dried PVC are inspected (remove extraneous impurities and nonstandard particles), grinded up to a particle size of 0.05–0.10 mm through the mill and sieved. Dried onion and garlic are dried a little to a moisture content of not more than 6%, then inspected, grinded up by the mill, sieved through a wire-cloth sieve No. 0.5–0.8. Wheat flour is dried a little at a temperature of 100–110 ℃ to a golden color and humidity of 8.0–9.5% and sieved through a wire-cloth sieve No. 1.2–1.6. Granulated sugar and edible salt are sieved through the wire-cloth sieve No. 2.0–2.5. Salt with moisture more than 1% is dried a little. Ground black pepper and tomato powder are inspected and sieved. Bay leaf and allspice are inspected, grinded up by the mill and sieved with the wire-cloth sieve No. 0.5–0.8. The components are dosed out according to the recipe and loaded into the mixer in the following sequence: flour, grinded PVC, tomato powder, grinded onion and garlic, granulated sugar, edible salt, pepper, bay leaf. Mixing is carried out for 5–7 minutes, up to obtaining a uniform, evenly colored mass [23].

    The resulting products are a powdered mixture of light-red («Sour-sweet sauce with PVC») or brown-gray («Mushroom sauce with PVC») color with grinded particles of vegetables, PVC and spicery, the components are evenly distributed throughout the product mass (Figure 1). The shelf life of the finished product is 6 months at a temperature of not more than 20 ℃ and a relative air humidity of not more than 75%.

    Figure 1.  Appearance of dry mixtures of culinary sauces: 1) sour-sweet sauce with PVC; 2) mushroom sauce with PVC.

    The following variants for the preparation of sauces with PVC have been studied:

    Sour-sweet sauce with PVC Soy-pepper PVC was introduced in the model recipe of food concentrate of sour-sweet sauce in the amount of 15, 20 and 25%, of the total mass of dry mixture of the sauce, thus replacing 5% of wheat flour and 10, 15 and 20% of tomato powder of the product mass [Gulyaev et al., 1984]. In the course of the experiment with the change of the main factors within the limits of variation levels, a mathematical model for the organoleptic evaluation of the sauce in the form of a multiple regression equation was obtained. The main criterion of the quality of the finished product was a comprehensive assessment (Y in points), the formation of which was influenced by the most significant factors, such as a mass fraction of PVC in powder form (X1, %), consistency (X2, in points) and taste (X3, in points):

    Y=46.66670.1467X1+3.7333X20.6445X3100 points  (1)

    Based on the obtained mathematical model (1), it was established that the mass fraction of PVC in powder form (X1) amounts to 15% of the total mass of the dry mixture, at the same time a comprehensive assessment (Y1) amounts to 99.8 points, of which 20 points is a consistency (X2), 30 points—taste (X3);

    Mushroom sauce with PVC Soy-mushroom PVC was introduced in the recipe of mushroom sauce in the amount of 15, 20 and 25% instead of dried ceps, increasing or decreasing the amount of wheat flour [Gulyaev et al., 1984]. The mathematical model for this sauce is as follows:

    Y=84.4035+0.0933X12.0966X2+1.8244X3100 points  (2)

    In this case, the mass fraction of PVC in the powdered form (X1) is 20% of the total mass of the dry mixture. Comprehensive assessment (Y2) amounted to 99.7 points, of which 19.7 points is consistency (X2), 30 points is taste (X3).

    The results of the organoleptic evaluation reveal the difference in taste and in consistency of the finished sauces prepared with different amounts of PVC in the recipe of dry mixtures. This makes it possible not only to assess the quality level of products on a five-point scale, but also to obtain mathematical models that allow determining the optimal values of factors-mass fractions of soy-pepper and soy-mushroom PVC.

    The optimal mass fraction of soy-pepper PVC in the sour-sweet sauce is 15%, at replacing 5% of wheat flour and 10% of tomato powder of the total mass of the dry mixture. This leads to an improvement in the taste of the finished dish due to some reduction in the sour taste of tomatoes, the obtaining of an additional piquant pepper flavor and the formation of a more liquid consistency due to a decrease in the amount of wheat flour.

    The reducing wheat flour in the recipe by more than 5% of the total mass of the product led to the formation of an excessively liquid and fluid consistency not inherent in sauces. The introduction of more soy-pepper PVC worsened the color and consistency of the product, led to the loss of taste and aroma of sour-sweet sauce, in accordance with its name.

    The optimal mass fraction of soy-mushroom PVC in the mushroom sauce is 20%, with a complete replacement of the dried ceps in the recipe of food concentrate. The introduction of soy-mushroom PVC in a smaller amount influenced the mushroom flavor strength, and a larger amount of PVC worsened the color and consistency of the sauce.

    The obtained indicators formed the basis for creating recipes for food concentrates of culinary sauces with the use of PVC (Tables 4, 5).

    Table 4.  The recipe of food concentrates «Sour-sweet sauce» and «Sour-sweet sauce with PVC», %.
    Name of the component Sour-sweet sauce (analogue) Sour-sweet sauce with PVC (development)
    Wheat flour extra class 19.0 14.0
    Tomato powder 48.0 38.0
    Granulated sugar 15.0 15.0
    Edible salt 11.7 11.7
    Dried onion 3.0 3.0
    Dried garlic 2.0 2.0
    Mustard (powder) 0.6 0.6
    Allspice 0.2 0.2
    Bay leaf 0.3 0.3
    Ground black pepper 0.2 0.2
    Soy-pepper PVC 15.0
    Total 100 100

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    Table 5.  The recipe of food concentrates «Mushroom sauce» and «Mushroom sauce with PVC», %.
    Name of the component Mushroom sauce (analogue) Mushroom sauce with PVC (development)
    Wheat flour extra class 56.8 54.8
    Dried ceps 20.0
    Dried bulb onion 12.0 12.0
    Salt 8.0 10.0
    Granulated sugar 3.0 3.0
    Ground black pepper 0.2 0.2
    Soy-mushroom PVC 20.0
    Total 100.0 100.0

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    The sequence of technological operations for obtaining dry mixtures of sauces is shown in Figure 2. The results of the analysis of the chemical composition of the studied sauces are shown in Table 6.

    Figure 2.  Technological scheme for obtaining food concentrates: «Sour-sweet sauce with PVC», «Mushroom sauce with PVC».
    Table 6.  The chemical composition of food concentrates of sauces (per 100 g of dry product).
    Indicators Sour-sweet sauce Mushroom sauce
    Without PVC With PVC without PVC With PVC
    Water, g 9.0 9.0 9.0 9.0
    Protein, g 8.9 11.9 14.7 16.8
    Fat, g 1.0 1.5 4.8 5.2
    Carbohydrates, g 62.9 59.2 52.0 49.4
    Dietary fibers, g 8.9 8.0 7.9 7.4
    Vitamin Е, mg 4.4 6.7 2.0 2.4
    Vitamin С, mg 29 45 32 32
    Minerals (g),
    including:
    Potassium, mg
    Phosphorus, mg
    Calcium, mg
    Magnesium, mg
    9.3
     
    1008
    186
    135
    96
    10.4
     
    1183
    323
    201
    157
    11.6
     
    984
    218
    83
    41
    12.2
     
    589
    159
    181
    122
    Energy value, kilocalories 313.0 311.5 310.0 311.6

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    The introduction of 15% soy-pepper PVC into the sauce recipe provides an increase in protein content by 33.7%, vitamin E by 52.2%, minerals by 11.8%. At the same time, there is a decrease in carbohydrate content by 5.9%. Replacing dried ceps in the recipe of food concentrate «Mushroom sauce» by soy-mushroom PVC provides an increase in protein content by 14.3%, vegetable fat by 8.3%, vitamin E by 20.0%, minerals by 5.2%, including calcium by 98 mg and magnesium by 81 mg, while reducing the carbohydrate content by 5.0% per 100 g of the product relative to the analogue. The caloric content of products practically does not change.

    A comparative assessment of the protein quality according to amino acid composition, presented in Tables 7 and 8, characterizes the being studied model systems as biologically valuable. These indicators change slightly in dry mixtures «Mushroom sauce with PVC», however, the deflection coefficient of the values of amino acid composition improves in comparison to the reference ones (from 4.14 to 1.86), that indicates an improvement in the qualitative composition of protein relative to the analogue. At the same time, almost all indicators of the balance of amino acid composition in the food concentrate «Sour-sweet sauce with PVC» get better relative to the analogue [15,24].

    Table 7.  Comparative characteristics of the balance of the amino acid composition of food concentrate «Mushroom sauce» and «Mushroom sauce with PVC».
    Indicator Standard according to FAO/WHO scale Mushroom sauce (analogue) Mushroom sauce with PVC (development)
    amino acid, g/100 g score, unit fractions amino acid, g/100 g score, unit fractions UCEA, unit fractions amino acid, g/100 g score, unit fractions UCEA, unit fractions
    Valine 5.0 1.0 4.56 0.91 1.00 4.96 0.99 0.83
    Isoleucine 4.0 1.0 3.95 0.99 0.92 4.65 1.16 0.71
    Leucine 7.0 1.0 7.26 1.04 0.88 7.43 1.06 0.77
    Lysine 5.5 1.0 5.25 0.95 0.95 4.52 0.82 1.00
    Threonine 4.0 1.0 4.11 1.03 0.89 3.72 0.93 0.88
    Methionine + cystine 3.5 1.0 3.75 1.07 0.85 3.54 1.01 0.81
    Phenylalanine + tyrosine 6.0 1.0 9.58 1.60 0.57 8.59 1.43 0.57
    Tryptophan 1.0 1.0 4.55 4.55 0.20 2.45 2.45 0.33
    Sum of amino acids 36.0 43.01 39.86
    Indicators of balance of amino acid composition
    Сmin, unit fractions 1.0 0.91 0.82
    BCAC, unit fractions 1.0 0.76 0.74
    ICAC, unit fractions 0 0.24 0.26
    CRI, g/100 g of protein →min 11.26 12.61
    EAA index →1.0 1.28 1.16
    DCAC 0 4.14 1.86
    Note: UCEA—utilization coefficient of the essential amino acid; Сmin—amino-acid score; BCAC—balance coefficient of the amino acid composition; ICAC—imbalance coefficient of the amino acid composition; CRI—«comparable redundancy» indicator; EAA index—essential amino acid index; DCAC—deflection coefficient of the amino acid composition from the reference ones.

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    Table 8.  Comparative characteristics of the balance of amino acid composition of food concentrate «Sour-sweet sauce» and «Sour-sweet sauce with PVC».
    Indicator Standard according to FAO/WHO scale Sour-sweet sauce (analogue) Sour-sweet sauce with PVC (development)
    amino acid, g/100 g score, unit fractions amino acid, g/100 g score, unit fractions UCEA, unit fractions amino acid, g/100 g score, unit fractions UCEA, unit fractions
    Valine 5.0 1.0 3.24 0.65 0.35 3.79 0.76 0.59
    Isoleucine 4.0 1.0 1.72 0.43 0.53 2.51 0.63 0.72
    Leucine 7.0 1.0 4.69 0.67 0.34 5.22 0.75 0.60
    Lysine 5.5 1.0 1.24 0.23 1.02 2.45 0.45 1.01
    Threonine 4.0 1.0 2.90 0.73 0.32 3.15 0.79 0.57
    Methionine + cystine 3.5 1.0 2.08 0.59 0.39 2.23 0.64 0.71
    Phenylalanine + tyrosine 6.0 1.0 5.53 0.92 0.25 4.99 0.83 0.54
    Tryptophan 1.0 1.0 0.96 0.96 0.24 1.01 1.01 0.45
    Sum of amino acids 36.0 22.36 25.35
    Indicators of balance of amino acid composition
    Сmin, unit fractions 1.0 0.23 0.45
    BCAC, unit fractions 1.0 0.37 0.64
    ICAC, unit fractions 0 0.63 0.36
    CRI, g/100 g of protein →min 61.22 20.33
    EAA index →1.0 0.61 0.72
    DCAC 0 2.83 2.16

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    DownLoad: CSV

    The analysis of the quality of the obtained food products by organoleptic indicators in accordance with the five-point assessment scale was conducted at the degustation meeting [25]. To prepare control samples of culinary sauces, 25 g of the obtained dry mixture was taken, than 200 mL of room temperature water was poured in it, mixed thoroughly, brought to a boil and cooked for 7–10 minutes. The results of sensory evaluation of ready meals, prepared from analogues and developed food concentrates, are described using the quantitative descriptor-profile analysis method (Figure 3, 4) [16].

    Figure 3.  Sensory profile of mushroom culinary sauce with soy-mushroom PVC.
    Figure 4.  Sensory profile of sour-sweet culinary sauce with soy-pepper PVC.

    The profiles of organoleptic evaluation of culinary mushroom sauce and mushroom sauce with soy-mushroom PVC differed from each other by some parameters. The presence of grinded particles of soy-mushroom PVC of gray color and brown shade were observed in the developed sauce and as a result, the sauce has become darker and more saturated in color in contrast to the analogue. At the same time, the intensity of mushroom taste in the developed product did not decrease. Both samples had a pleasant taste and smell of mushrooms, with the aroma of spices. The bean taste was almost not perceived in the given development.

    Profiles of organoleptic evaluation of culinary sour-sweet sauce and sour-sweet sauce with soy-pepper PVC had distinctive features. Because of the presence of grinded particles of PVC of a light-red color in the developed product, the sauce had a lighter and less saturated color compared to the analogue. Due to the reduced content of the tomato powder in the recipe of the developed sauce, the intensity of the tomato taste has slightly decreased in it. This made it possible to obtain a product with a more moderate and pleasant taste and aroma of tomato, pepper and spices. There was practically no bean taste in the sauce with soy-pepper PVC.

    These indicators did not reduce the overall perception of the appearance and taste advantages of the developed products. The resulting sauces, like their analogues, had a high assessment of the organoleptic characteristics corresponding to the name of the culinary food product.

    The technology for new types of food concentrates using PVC based on soya beans has been developed. As a result, the technologies for preparing food concentrates «Sour-sweet sauce» and «Mushroom sauce» were changed by introducing PVC into their recipes. Eventually, due to the partial or complete replacement of standard components, their nutritional and biological value is increased, relative to analogue. In particular, the protein content increases by 14.3–33.7%. The carbohydrate content decreases by 5.0–5.9%. The organoleptic and taste qualities of sauces are improved, that guarantees high quality of the developed food products and expands the range of manufactured food concentrates of culinary sauces.

    The Russian Federation patent no. 2678073 «The method for preparing concentrate of the sauce with increased nutritional and biological value» was received for the food concentrate «Sour-sweet sauce with PVC».

    For industrial production of the obtained products, the technical documentations were developed and approved (STO FSBSI ARSRI of Soybean 9199-006-00668442-2017 «Food concentrates. Mushroom sauce with protein-vitamin concentrate» and STO FSBSI ARSRI of Soybean 9199-005-00668442-2017 «Food concentrates. Sour-sweet sauce with protein-vitamin concentrate»).

    The authors declare no conflict of interest.



    [1] S. Guo, Bifurcation and spatio-temporal patterns in a diffusive predator-prey system, Nonlinear Anal. Real World Appl., 42 (2018), 448–477. https://doi.org/10.1016/j.nonrwa.2018.01.011 doi: 10.1016/j.nonrwa.2018.01.011
    [2] M. Kuwamura, Turing instabilities in prey–predator systems with dormancy of predators, J. Math. Biol., 71 (2015), 125–149. https://doi.org/10.1007/s00285-014-0816-5 doi: 10.1007/s00285-014-0816-5
    [3] R. Yang, Y. Ding, Spatiotemporal dynamics in a predator-prey model with a functional response increasing in both predator and prey densities, J. Appl. Anal. Comput., 10 (2020), 1962–1979. https://doi.org/10.11948/20190295 doi: 10.11948/20190295
    [4] J. Huang, S. Ruan, J. Song, Bifurcations in a predator-prey system of Leslie type with generalized Holling type Ⅲ functional response, J. Differ. Equations, 257 (2014), 1721–1752. https://doi.org/10.1016/j.jde.2014.04.024 doi: 10.1016/j.jde.2014.04.024
    [5] P. Kareiva, A. Mullen, R. Southwood, Population dynamics in spatially complex environments: theory and data, Phil. Trans. R. Soc. Lond. B, 330 (1990), 175–190. https://doi.org/10.1098/rstb.1990.0191 doi: 10.1098/rstb.1990.0191
    [6] Y. Wang, X. Zhou, W. Jiang, Bifurcations in a diffusive predator-prey system with linear harvesting, Chaos Solitons Fractals, 169 (2023), 1–16. https://doi.org/10.1016/j.chaos.2023.113286 doi: 10.1016/j.chaos.2023.113286
    [7] W. Xu, H. Shu, Z. Tang, H. Wang, Complex dynamics in a general diffusive predator–prey model with predator maturation delay, J. Dyn. Differ. Equations, 2022 (2022). https://doi.org/10.1007/s10884-022-10176-9 doi: 10.1007/s10884-022-10176-9
    [8] F. S. Berezovskaya, G. P. Karev, Traveling waves in polynomial population models, Dokl. Akad. Nauk, 368 (1999), 318–322.
    [9] E. Keller, L. Segel, Model for chemotaxis, J. Theor. Biol., 30 (1971), 225–234. https://doi.org/10.1016/0022-5193(71)90050-6 doi: 10.1016/0022-5193(71)90050-6
    [10] A. B. Medvinsky, S. V. Petrovskii, I. A. Tikhonova, H. Malchow, B. L. Li, Spatiotemporal complexity of plankton and fish dynamics, SIAM Rev., 44 (2002), 311–370. https://doi.org/10.1137/S0036144502404442 doi: 10.1137/S0036144502404442
    [11] J. A. Sherratt, Wavefront propagation in a competition equation with a new motility term modelling contact inhibition between cell populations, R. Soc. Lond. Proc. Ser. A Math. Phys. Eng. Sci., 456 (2000), 2365–2386. https://doi.org/10.1098/rspa.2000.0616 doi: 10.1098/rspa.2000.0616
    [12] E. Curio, The Ethology of Predation, Springer-Verlag, New York, 1976. https://doi.org/10.1007/978-3-642-81028-2
    [13] M. Hassell, D. Rogers, Insect parasite responses in the development of population models, J. Anim. Ecol., 41 (1972), 661–676. https://doi.org/10.2307/3201 doi: 10.2307/3201
    [14] M. Hassell, R. May, Stability in insect host-parasitoid models, J. Anim. Ecol., 42 (1973), 693–726. https://doi.org/10.2307/3133 doi: 10.2307/3133
    [15] W. Murdoch, A. Oaten, Predation and population stability, Adv. Ecol. Res., 9 (1974), 1–131. https://doi.org/10.1016/S0065-2504(08)60288-3 doi: 10.1016/S0065-2504(08)60288-3
    [16] T. Royama, A comparative study of models for predation and parasitism, Res. Popul. Ecol., 1 (1971), 1–91. https://doi.org/10.1007/BF02511547 doi: 10.1007/BF02511547
    [17] M. Hassell, R. May, Aggregation in predators and insect parasites and its effect on stability, J. Anim. Ecol., 43 (1974), 567–594. https://doi.org/10.2307/3384 doi: 10.2307/3384
    [18] P. Kareiva, G. Odell, Swarms of predators exhibit prey taxis if individual predators use area-restricted search, Am. Nat., 130 (1987), 233–270. https://doi.org/10.2307/2461857 doi: 10.2307/2461857
    [19] C. Cosner, Reaction-diffusion-advection models for the effects and evolution of dispersal, Discrete Contin. Dyn. Syst., 34 (2014), 1701–1745. https://doi.org/10.3934/dcds.2014.34.1701 doi: 10.3934/dcds.2014.34.1701
    [20] H. Jin, Z. Wang, Global stability of prey-taxis systems, J. Differ. Equations, 262 (2017), 1257–1290. https://doi.org/10.1016/j.jde.2016.10.010 doi: 10.1016/j.jde.2016.10.010
    [21] C. Liu, S. Guo, Dynamics of a predator–prey system with nonlinear prey-taxis, Nonlinearity, 35 (2022), 4283. https://doi.org/10.1088/1361-6544/ac78bc doi: 10.1088/1361-6544/ac78bc
    [22] X. Wang, X. Zou, Pattern formation of a predator-prey model with the cost of anti-predator behaviors, Math. Biosci. Eng., 15 (2018), 775–805. https://doi.org/10.3934/mbe.2018035 doi: 10.3934/mbe.2018035
    [23] S. Wu, J. Wang, J. Shi, Dynamics and pattern formation of a diffusive predator-prey model with predator-taxis, Math. Models Methods Appl. Sci., 28 (2018), 1–36. https://doi.org/10.1142/S0218202518400158 doi: 10.1142/S0218202518400158
    [24] E. Beretta, Y. Kuang, Global analyses in some delayed ratio-dependent predator-prey systems, Nonlinear Anal., 32 (1998), 381–408. https://doi.org/10.1016/S0362-546X(97)00491-4 doi: 10.1016/S0362-546X(97)00491-4
    [25] J. Xia, Z. Liu, R. Yuan, S. Ruan, The effects of harvesting and time delay on predator-prey systems with Holling type Ⅱ functional response, SIAM J. Appl. Math., 70 (2009), 1178–1200. https://doi.org/10.1137/080728512 doi: 10.1137/080728512
    [26] Y. Kuang, Delay differential equations with applications in population dynamics, Academic Press, New York, 1993. Available from: https://www.researchgate.net/publication/243764052.
    [27] S. Ruan, On nonlinear dynamics of predator-prey models with discrete delay, Math. Model. Nat. Phenom., 4 (2009), 140–188. https://doi.org/10.1051/mmnp/20094207 doi: 10.1051/mmnp/20094207
    [28] S. Wu, J. Shi, B. Wu, Global existence of solutions and uniform persistence of a diffusive predator-prey model with prey-taxis, J. Differ. Equations, 260 (2016), 5847–5874. https://doi.org/10.1016/j.jde.2015.12.024 doi: 10.1016/j.jde.2015.12.024
    [29] J. Wang, S. Wu, J. Shi, Pattern formation in diffusive predator-prey systems with predator-taxis and prey-taxis, Discrete Contin. Dyn. Syst. Ser. B, 26 (2021), 1273. https://doi.org/10.3934/dcdsb.2020162 doi: 10.3934/dcdsb.2020162
    [30] Q. Cao, J. Wu, Pattern formation of reaction-diffusion system with chemotaxis terms, Chaos, 31 (2021), 113118. https://doi.org/10.1063/5.0054708 doi: 10.1063/5.0054708
    [31] M. Winkler, Boundedness in the higher-dimensional parabolic-parabolic chemotaxis system with logistic source, Commun. Partial Differ. Equations, 35 (2010), 1516–1537. https://doi.org/10.1080/03605300903473426 doi: 10.1080/03605300903473426
    [32] T. Xiang, Global dynamics for a diffusive predator-prey model with prey-taxis and classical Lotka-Volterra kinetics, Nonlinear Anal. Real World Appl., 39 (2018), 278–299. https://doi.org/10.1016/j.nonrwa.2017.07.001 doi: 10.1016/j.nonrwa.2017.07.001
    [33] J. M. Lee, T. Hillen, M. A. Lewis, Pattern formation in prey-taxis systems, J. Biol. Dyn., 3 (2009), 551–573. https://doi.org/10.1080/17513750802716112 doi: 10.1080/17513750802716112
    [34] J. Gao, S. Guo, Effect of prey-taxis and diffusion on positive steady states for a predator-prey system, Math. Methods. Appl. Sci., 41 (2018), 3570–3587. https://doi.org/10.1002/mma.4847 doi: 10.1002/mma.4847
    [35] H. Qiu, S. Guo, S. Li, Stability and bifurcation in a predator–prey system with prey-taxis, Int. J. Bifurcation Chaos, 30 (2020), 2050022. https://doi.org/10.1142/S0218127420500224 doi: 10.1142/S0218127420500224
    [36] X. Gao, Global solution and spatial patterns for a ratio-dependent predator-prey model with predator-taxis, Results Math., 77 (2022), 66. https://doi.org/10.1007/s00025-021-01595-z doi: 10.1007/s00025-021-01595-z
    [37] Y. Song, Y. Peng, X. Zou, Persistence, stability and Hopf bifurcation in a diffusive ratio-dependent predator-prey model with delay, Int. J. Bifurcation Chaos, 24 (2014), 1450093. https://doi.org/10.1142/S021812741450093X doi: 10.1142/S021812741450093X
    [38] D. Geng, W. Jiang, Y. Lou, H. Wang, Spatiotemporal patterns in a diffusive predator-prey system with nonlocal intraspecific prey competition, Stud. Appl. Math., 148 (2021), 396–432. https://doi.org/10.1111/sapm.12444 doi: 10.1111/sapm.12444
    [39] W. Jiang, Q. An, J. Shi, Formulation of the normal form of Turing-Hopf bifurcation in partial functional differential equations, J. Differ. Equations, 268 (2020), 6067–6102. https://doi.org/10.1016/j.jde.2019.11.039 doi: 10.1016/j.jde.2019.11.039
    [40] J. Shi, C. Wang, H. Wang, Spatial movement with diffusion and memory-based self-diffusion and cross-diffusion, J. Differ. Equations, 305 (2021), 242–269. https://doi.org/10.1016/j.jde.2021.10.021 doi: 10.1016/j.jde.2021.10.021
    [41] M. Wang, Second Order Nonlinear Parabolic Equations, CRC Press, 2021. https://doi.org/10.1201/9781003150169
    [42] H. Amann, Dynamic theory of quasilinear parabolic equations. Ⅱ. Reaction-diffusion systems, Differ. Integr. Equations, 3 (1990), 13–75. https://doi.org/10.57262/die/1371586185 doi: 10.57262/die/1371586185
    [43] W. Jiang, H. Wang, X. Cao, Turing instability and Turing-Hopf bifurcation in diffusive Schnakenberg systems with gene expression time delay, J. Dyn. Differ. Equations, 31 (2019), 2223–2247. https://doi.org/10.1007/s10884-018-9702-y doi: 10.1007/s10884-018-9702-y
    [44] Y. Song, X. Zou, Bifurcation analysis of a diffusive ratio-dependent predator–prey model, Nonlinear Dyn., 78 (2014), 49–70. https://doi.org/10.1007/s11071-014-1421-2 doi: 10.1007/s11071-014-1421-2
    [45] E. Beretta, Y. Kuang, Geometric stability switch criteria in delay differential systems with delay dependent parameters, SIAM J. Math. Anal., 33 (2002), 1144–1165. https://doi.org/10.1137/S0036141000376086 doi: 10.1137/S0036141000376086
    [46] F. Yi, E. A. Gaffney, S. S. Lee, The bifurcation analysis of Turing pattern formation induced by delay and diffusion in the Schnakenberg system, Discrete Contin. Dyn. Syst. Ser. B, 22 (2017), 647–668. https://doi.org/10.3934/dcdsb.2017031 doi: 10.3934/dcdsb.2017031
    [47] X. Jiang, R. Zhang, Z. She, Dynamics of a diffusive predator–prey system with ratio-dependent functional response and time delay, Int. J. Biomath., 13 (2020), 2050036. https://doi.org/10.1142/S1793524520500369 doi: 10.1142/S1793524520500369
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