3.1. Rheological properties
In this study, rheological properties were investigated as the most important functional properties of hydrocolloids. Figure 2 shows the apparent viscosity of flaxseed mucilage (1 to 15 water ratio), flaxseed mucilage (1 to 20 water ratio) and animal butter. Apparent viscosity was almost constant with increasing shear rate in flaxseed mucilage and butter samples. Also, according to the results of the flow behavior index, it can be seen that both mucilages have Newtonian behavior and are part of Newtonian fluids. In the animal butter sample, the viscosity decreased with the increase in shear speed, but overall it had a higher viscosity than the flax seed mucilage samples. The decrease in viscosity with the increase in shear rate indicates the pseudoplastic behavior of butter. The reduction of apparent viscosity in animal butter has a higher intensity at the beginning of the increase in shear speed, but then the intensity of the decrease in apparent viscosity decreased and reached a constant value. The reason for the sharp decrease in apparent viscosity is due to the loss of intermolecular bonds. This is despite the fact that the link between the molecules is broken and as a result the apparent viscosity decreases slowly or becomes stable (Kim et al., 2018). Similar results regarding Newtonian behavior have been expressed by Jin et al. (2017) who investigated the rheological behavior of a variety of compounds including corn fiber gum, modified corn starch, gum Arabic and soluble soybean polysaccharides. Their results showed that the apparent viscosity of modified starch and corn fiber gum solutions was almost constant due to highly branched structures and was independent of the shear rate, and no obvious pseudoplastic behavior was observed. Cuomo et al. (2020) also investigated the behavior of chia seed mucilage combined with lemon essential oil and stated that the use of essential oil leads to the stability of the Newtonian behavior of chia mucilage.
The frequency sweep test is the most common oscillatory test. In this test, the amplitude of the input voltage or strain is kept constant, while the frequency is increased. The frequency scan test is used to investigate the effect of different additives (for example, hydrocolloids) and the effect of different processes (for example, stirring and heating) on changing the viscoelastic behavior of materials. In this test, if the elastic component (G') is larger than the viscous component (Gʹʹ), it indicates a gel-like structure, and if the viscous component (Gʹʹ) is larger, the material in this area shows liquid characteristics. According to Fig. 2, with increasing frequency (0.1-1 Hz) and at a constant strain of 1%, the loss modulus (Gʹʹ) of all samples increased. In the sample of flaxseed mucilage with a ratio of 1:15, the drop and storage modulus is increasing, which indicates the behavior of dilute and semi-dilute solutions, and there is no big difference between both modules, and both are frequency-dependent. Also, the distance between both modules has been maintained during different frequencies. In the mucilage sample with a ratio of 1:20, first the storage modulus is greater than the loss modulus, and then from a certain frequency onwards, the storage modulus decreases and the loss modulus is increasing. In the mucilage sample with a ratio of 1:20, the Gʹ numbers are in a larger range than the Gʹ numbers of the mucilage sample with 1:15, which is due to the increase in the concentration of the sample and as a result, the increase in the interaction of polymers, which causes an increase in the consistency of the sample.
In the butter sample, the storage modulus is almost constant and has little dependence on the frequency, and the drop modulus has increased significantly from a certain frequency onwards. So that at higher frequencies, the distance between Gʹ and Gʹʹ increases and the value of Gʹʹ is greater than Gʹ, which shows that the fluid-like behavior is increasing. In terms of units, the values of Gʹ and Gʹʹ in the butter sample are between 10 and 1000 Pa and in mucilage samples between 10− 4 to10 Pa. While the loss and storage modulus values in the butter sample (10–103 Pa) are higher than the mucilage samples. Another parameter investigated in the frequency test is the complex modulus, which is obtained from the ratio of the maximum stress to the maximum strain in the oscillation test. The complex modulus shows the overall stiffness, which includes elastic stiffness and viscous stiffness. The complex viscosity is obtained from the ratio of the modulus of the complex to the frequency, and it is a measure of the overall stiffness of the desired material (Yilmaz et al., 2011). The viscosity of the complex in the mucilage samples first decreased and then increased; While in the animal butter sample, the complex viscosity was decreasing. Also, the flow behavior index for butter is less than one, which indicates pseudoplastic and non-Newtonian behavior in animal butter. Finally, according to all the graphs and the obtained results, flax mucilage (1:20) formed a stronger gel than flax mucilage (1:15) and maintained its structure more during the tests.
Figure 2
3.2. Chemical properties (moisture and antioxidant capacity)
Figure 3 shows the contour plot of the effect of replacing flaxseed mucilage and flaxseed flour on the moisture content of the low-calorie cake on days 1, 7, and 10 after baking, as well as the antioxidant capacity of the cake samples. As shown in Fig. 3, with the increase of flax mucilage substitution, the moisture content of the samples increased. Flax seed flour had no significant effect on moisture at low percentages of mucilage replacement, but at high levels of flax mucilage replacement, with the increase of flax flour, the moisture content of the samples increased significantly. On the tenth day after cooking, flax flour had no significant effect on moisture content, but with the increase of flax mucilage, the moisture content increased significantly (P ≤ 0.05). Mucilages have the ability to form a continuous gel-like texture, and with this ability, they can successfully maintain moisture during the shelf life. Also, the compounds that have the ability to form a gel by forming a series of transverse links that connect the polymer chains, produce a three-dimensional network and trap water in their cracks, thus increase the moisture content of the product. On the other hand, the oil in food can prevent their evaporation by surrounding water molecules, especially during the cooking process, and act as a barrier to the exit of moisture. The power of flaxseed mucilage in retaining water is more than that of oil, which increased the moisture content of cake samples by reducing the amount of oil in the formulation. Also, the reason for the increase in moisture in cake samples containing flax flour can be attributed to minerals (1.54%) and fiber (1.80%), which is more than wheat flour (0.62% minerals and 1.1% raw fiber) related that fiber absorbs more water and thus increases moisture (Belghith Fendri et al., 2016). Similar results have been reported with the addition of flax mucilage in cookies (Kaur et al., 2015) and in bread (Fernandes and Mercedes Salas-Mellado, 2017) regarding the increase in moisture with the addition of mucilage. The predictive regression model for moisture was a significant model with high R2 and Adj-R2, non-significant mismatch (P > 0.05) and low coefficient of variation, which indicates the effectiveness of the presented model. The presented model for moisture on days 1, 6 and 10 after baking is as follows:
$$\text{M}\text{o}\text{i}\text{s}\text{t}\text{u}\text{r}\text{e}\left(\text{1th day}\right)\text{=21.61+1.10×A+6.13×B+3.43×AB+3.66×}{\text{A}}^{\text{2}}\text{+3.57×}{\text{B}}^{\text{2}}$$
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$$\text{M}\text{o}\text{i}\text{s}\text{t}\text{u}\text{r}\text{e}\left(\text{6th day}\right)\text{=26.58+2.48×A+4.84×B+34.96×C+2.76×AB}$$
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$$\text{M}\text{o}\text{i}\text{s}\text{t}\text{u}\text{r}\text{e}\left(\text{10th day}\right)\text{=29.54+0.03×A+5.25×B}$$
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By examining the contour plot of the antioxidant capacity, it was determined that the antioxidant capacity of the samples increased with the single replacement of flax mucilage and flax seed flour, and the highest amount of antioxidant capacity was observed in cakes with the maximum amount of mucilage and flax seed flour replacement. The increase in antioxidant capacity in samples containing flax is due to the presence of antioxidant substances such as phenolic compounds and lignans. Flax is a rich source of secoisolariciresinol diglucoside (SDG) lignans and small amounts of matricinol lignan. SDG and matricinol can be converted into enterodiol and enterolactone lignans by colon bacteria (Han et al., 2018). Meral and Dogan (2013). In a research aimed at investigating the effect of flaxseed on the quality of bread preparation and the antioxidant properties of bread, it was found that total phenols and flavonoids increased significantly with increasing the level of enrichment with flaxseed, and the highest values were found in bread containing 8% of flaxseed. Sanmartin et al. (2020). Also, similar results were reported by Valerga, et al. (2020), with the addition of eggplant flour in wheat bread. The predicted model (15) for this feature is a significant model with R2 and Adj-R2 of 0.98 and 0.96, respectively, with a non-significant discrepancy (P > 0.05) and a low coefficient of variation, which shows the effectiveness of the model.
$$\text{Antioxidant capacity=30.27+3.60×A+3.75×B-0.59×AB+3.38×}{\text{A}}^{\text{2}}\text{-0.73×}{\text{B}}^{\text{2}}$$
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Figure 3
3.3. Physical properties (water activity, weight loss, specific volume and height)
Figure 4 shows the contour plot of the effect of replacing flaxseed mucilage and flaxseed flour on the water activity of low-calorie cake on days 1, 7, and 10 after baking, weight loss, specific volume, and height of cake samples.
Water activity is one of the most important characteristics of food, which is extremely important in terms of maintaining the health of food, storage time, taste, nutritional value and economic aspects, and is affected by temperature and pH. As it is clear from the contour plot, with the increase of flax mucilage, the water activity of the samples increased, but flax seed flour had no significant effect on this parameter. The results of water activity (WA) evaluation on the sixth and tenth day after cooking showed that with the replacement of mucilage, the water activity increased significantly, but the effect of flaxseed flour on the water activity factor was not statistically significant (P < 0.05). In general, replacing oil with wet mucilage increased water activity, which is consistent with the results of increasing moisture. The use of mucilage in food due to its hydrophilic properties leads to the creation of water-soluble molecules and controls the moisture content of the food through the formation of a structure that is permeable to water. The results of this research were in agreement with the results of Fernandesa and Salas (2018). Regression model for water activity, a significant model with high R2 and Adj-R2, non-significant mismatch (P < 0.05). And the coefficient of change was low, which indicates the efficiency of the presented model. The presented model for water activity in 1, 6 and 10 days after baking is as follows:
$$\text{W}\text{A} \left(\text{1th day}\right)\text{=0.82-0.001×A+0.03×B}$$
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$$\text{W}\text{A} \left(\text{6th day}\right)\text{=0.77+0.0008×A+0.02×B+0.005×AB+0.04×}{\text{A}}^{\text{2}}\text{+0.01×}{\text{B}}^{\text{2}}$$
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$$\text{W}\text{A} \left(\text{10th day}\right)\text{=0.8-0.003×A+0.01×B}$$
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According to the weight loss contour plots, it was found that with the increase in the percentage of mucilage and flax flour replacement, the weight loss percentage of the samples decreased, but this decrease was not statistically significant (P < 0.05).
By examining the contour plots of the specific volume, it was observed that, with the increase in the percentage of flaxseed flour replacement, the specific volume decreased slightly. The reduction in volume with the increase of flax flour is due to the reduction of wheat flour and the reduction of gluten, which leads to the weakening of the flour and the reduction of the ability of the dough to retain air. Also, the decrease in the specific volume of bread with the increase in the substitution of flaxseed mucilage can be attributed to the disruption of gas retention by fiber, the decrease in gas storage capacity, and the decrease in the amount of dough expansion during baking. On the other hand, there is a possibility that the high levels of flaxseed mucilage by producing more gel have strengthened the wall of the air bubbles entering the cake dough so that these bubbles have lost the ability to expand and increase in volume during the baking process and thus lead to a decrease in the specific volume of the samples. The regression model for specific volume was a significant with a non-significant discrepancy (P < 0.05) and a low coefficient of variation, which indicates the efficiency of the presented model. The model presented for the special volume is presented as follows:
$$\text{Specific volume =2.84-0.29×A-0.18×B-0.25×AB}$$
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The height contour plot showed that the height of the samples decreased with the increase in the substitution of flaxseed mucilage and flax seed flour, and the lowest height was observed in the samples with the maximum substitution of flaxseed mucilage. The decrease in the height of the samples is due to the weak texture strength of the low-calorie cake samples produced due to the addition of mucilage at high levels (Lee and Puligundla, 2016). The results of the present research were consistent with the results of Vasantha Rupasinghe et al. (2008) who reported that the addition of apple peel powder led to a decrease in the height of the muffin samples. Regression model for height, a significant model with non-significant mismatch (P < 0.05). The coefficient of variation was low, which shows the high efficiency of the presented model. The presented model is as follows:
$$\text{Height =3.88-0.10×A-0.57×B}$$
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Figure 4
3.4. Hardness, cohesion, elasticity, chewability, resilience, crust hardness and overall acceptance
Figure 5 shows the contour plot of the effect of replacing flaxseed mucilage and flaxseed flour on hardness, cohesiveness, elasticity, chewability, resilience, shell firmness and overall acceptance of cake samples. Examining the contour plot curve of cake core hardness showed that the addition of flaxseed mucilage caused the cake samples to be hard. While flaxseed flour did not change the texture of the samples. The increase in hardness at high levels of mucilage is due to the increase in cake dough viscosity. Also, adding the fiber in the mucilage to the baked products increases the hardness of the samples and there is an indirect relationship between the volume and the hardness, and the results of the hardness correspond to the results of the specific volume. The predicted model for this feature is a significant model with a non-significant discrepancy (P < 0.05) and a low coefficient of variation, which shows the effectiveness of the presented model (21).
$$\text{Hardness=0.57-0.22×A+0.26×B-0.19×AB}$$
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Cohesiveness as the internal resistance of the structure of the food, determines the adhesion between the internal components. According to the contour plot related to cohesiveness, with the increase in the levels of flour and mucilage of flaxseed, the cohesiveness of the samples increased. So that the samples containing the highest levels of flour and mucilage showed the highest degree of cohesion. The addition of flour and flax seed mucilage improved the structure of the cake and its reversibility to its initial state was strongly affected. Therefore, adding flour and mucilage of flax seed increased the cohesiveness in low calorie cake samples. Similar results were reported by Avila et al. (2017) who stated that replacing the mixture of millet, quinoa, chickpea, flaxseed and chickpea flours increased the cohesiveness of the cake samples. The predicted model for this feature is a significant model with a non-significant discrepancy (P < 0.05) and a low coefficient of variation, which shows the effectiveness of the presented model (22).
$$\text{Cohesiveness=0.55+0.03×A+0.07×B}$$
22
The results of the elasticity contour plot showed that the elasticity of the samples decreased with the addition of flour and mucilage, and the samples containing the highest percentage of flour and mucilage replacement had the lowest elasticity. This behavior is probably related to the larger size of flaxseed flour granules compared to wheat flour. In addition, flaxseed flour contains high amounts of fiber, fat, and protein, which interact with gluten and starch and affect the formation of the gluten network and eventually cause a decrease in the elasticity of the samples. The results of the present research were in agreement with the findings of Mau et al. (2015) regarding the reduction of elasticity by adding tea powder to the cake. The results obtained were in agreement with the findings of Fendri et al. (2016) who stated that by adding chickpea fiber to bread samples, a decrease in elasticity was observed. The predicted model for this feature is a significant model with a non-significant discrepancy (P < 0.05) and a low coefficient of variation as follows:
$$\text{Springiness=0.64-0.10×A-0.14×B}$$
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According to the results of the statistical analysis and contour plot related to chewing ability, with the increase in the replacement percentage of the studied factors, the changes in the chewing ability of the samples were not statistically significant (P < 0.05).
Resilience is one of the extracted parameters of texture analysis, which is considered as elasticity. Resilience also shows the capacity of a material to store energy. The evaluation of the resilience results indicated an increase in resilience with the increase in substitution of the studied factors (flax seed flour and mucilage). The control sample had the lowest resilience compared to other samples.
As mentioned in the cohesion and elasticity factor section; Due to its high fiber content and its interaction with gluten and starch, flaxseed mucilage and flour have an effect on the formation of the gluten network of the cake and ultimately led to an increase in the resilience of the samples. The predicted model for this feature is a significant model with a non-significant mismatch (P < 0.05). The low coefficient of variation is given below, which shows the efficiency of the presented model.
$$\text{Resilience=0.21+0.04×A+0.08×B+0.01×AB}$$
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The firmness of the crust was checked on the first day and the 7th day after baking, and the corresponding contour plot curves show that the individual effect of flour and flax seed mucilage on the firmness of the cake samples on the first day after baking was significant (P 0.05 <). While the studied factors had no significant effect on the stiffness of the 7th day after cooking (P < 0.05). On the first day after cooking, the hardness of the samples decreased with the addition of flour and mucilage, and the samples containing the highest levels of flour and mucilage had the lowest firmness. This behavior may be related to the high moisture of the enriched samples as well as the gum state and the amount of fat in the flax seeds. The results obtained were in agreement with the findings of Marpalle et al. (2014), who stated that the addition of flaxseed flour to bread decreased the firmness of the samples. The predicted model for this feature is a significant model with a non-significant mismatch (P < 0.05). and the low coefficient of variation that shows the efficiency of the presented model.
$$\text{Firmness( 1th day-crust)=0.04-0.006×A-0.004×B}$$
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The contour plot of overall acceptance shows that the overall acceptance of the samples decreased with the increase in the replacement percentage of flax mucilage and flax seed flour. The highest overall acceptance score was related to samples with a low percentage of flax mucilage and flax seed flour, as well as samples with a high replacement percentage of mucilage and low levels of flax flour, which according to the results obtained from physical tests (specific volume, density, height and colorimetric) and histometry, this result is not far from expected.
Ganorkar and Jain (2014) cited the darkening of the color, the creation of a dry surface, the reduction of crispness, and the creation of a rougher mouthfeel as the reasons for the decrease in the overall acceptance score with the increase in the amount of flax flour. The predicted model for this feature is a significant model with R2 and Adj-R2 of 0.80 and 0.67, respectively, with a non-significant discrepancy (P < 0.05). The low coefficient of variation that shows the efficiency of the presented model.
$$\text{Overall acceptance=3.46-0.08×A+0.09×B+0.004×AB+0.21×}{\text{A}}^{\text{2}}\text{+0.57×}{\text{B}}^{\text{2}}$$
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Figure 5
3.5. Optimizing the formulation
To determine the optimal processing conditions, the resulting models were numerically optimized for different responses. For this purpose, the desirability function is an effective method in multi-response optimization. Figure 6 shows the optimization diagram based on the desirability function. Based on this graph and the desirability function in the conditions of the maximum desirability function (0.76), taking into account the maximum consistency and overall acceptance and the lowest hardness of the shell and core, cake samples with 60% flax mucilage and 28% flax seed flour were chosen as the optimum formulation. In the following, some physicochemical characteristics were analyzed for the control sample and the optimal sample and their results were reported in Table 2. By examining the fat measurement results of the optimal and control cakes in Table 2, it was found that the fat content of the optimal and control samples has a statistically significant difference (P ≤ 0.05) and the addition of flaxseed flour (28%) and Flax mucilage (60%) has reduced the amount of fat so that the highest fat content was observed in the control sample. The reason for fat reduction can be explained due to the high level of unsaturated fatty acids and the low level of saturated fatty acids of flax mucilage and flax seed flour compared to the animal butter. On the other hand, the high moisture content of flaxseed mucilage causes the interaction of water and kneaded macromolecules, which ultimately leads to the reduction of fat in the samples. In this regard, Liu et al. (2020) used flaxseed flour as a relative substitute for wheat flour in the formulation of Chinese steamed bread, which ultimately led to a decrease in the fat content of the final product. According to the results of the chemical tests of the optimally produced cake samples, the protein content of the samples increased, as expected, there was a significant difference between optimal sample and control sample. The reason for this can be attributed to the high amount of protein in flaxseed mucilage (10.38%) and flaxseed flour (27.46%), which leads to the production of cakes with high protein quality (Romankiewicz et al., 2017). The results were consistent with the results of Codina et al. (2019), who stated that the addition of flax in wheat-flax composite flour led to an increase in flour protein.
By examining the ash results of the optimal and control cakes in, it was found that the amount of ash of the optimal and control samples has a significant difference (P ≤ 0.05) and the addition of flour and flaxseed mucilage increased the amount of ash. This increase is due to the higher amount of ash and the presence of high amounts of mineral salts such as calcium, magnesium, phosphorus and iron in flax seed flour (3.96%) and flax mucilage (6.57%) compared to animal butter.
By examining the moisture results of the optimal and control cakes, it was found that the moisture content of the optimal and control samples has a statistically significant difference (P ≤ 0.05) and the addition of flaxseed flour with moisture (4.69%) and mucilage with moisture (97.3%) has increased the moisture content. This effect is due to the more minerals and fiber of flax flour compared to wheat flour, which fiber absorbs more water and thus increases the moisture. Also, mucilages have the ability to form a continuous gel-like texture, and with this ability, they can lead to an increase in the moisture of the samples.
By examining the peroxide value results, it was found that the amount of peroxide of the optimal and control samples has a statistically significant difference (P ≤ 0.05). The addition of mucilage and flax seed flour decreases the amount of peroxide. The reduction of peroxide can be explained due to the reduction of fat in the formulation as a result of the substitution and the presence of hydroxyl groups in the mucilages, which have free radical trapping properties and thus prevent oxidation or reduce the rate of oxidation. The results obtained are in agreement with the results of Goyat et al. (2019).
Figure 6
Table 2
Comparison of fat, protein, ash, moisture and peroxide (day 1, 7 and 16) of optimal and control cake samples
Factor | Protein | Fat | Ash | Moisture | PV (1) | PV (8) | PV (16) | Carbohydrate | Calorie(Kcal) |
Control | 6.85 ± 0.001a | 22.87 ± 0.01b | 0.55 ± 0.03a | 22.1 ± 0.001a | 1.72 ± 0.01b | 1.84 ± 0.001b | 2.1 ± 0.001a | 47.78 ± 0.01 | 424.15 ± 0.001b |
28FF + 60FM | 7.88 ± 0.002b | 17.7 ± 0.03a | 0.82 ± 0.03b | 41.3 ± 0.001b | 1.56 ± 0.01a | 1.68 ± 0.001a | 2.55 ± 0.001b | 32.3 ± 0.01 | 320.02 ± 0.001a |
Dissimilar letters in a column indicate a significant difference (p ≤ 0.05). |
FM: Flax mucilage FF: Flax seed flour |