Yasin Uzakov
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yasin Uzakov has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Aigerim Koishybayeva
Department of Food Technology, Almaty Technological University, 050012 Almaty, Kazakhstan
2 shared publications - Małgorzata Korzeniowska
Department of Functional Food Products Development, Wroclaw University of Environmental and Life Sciences, 50-375 Wroclaw, Poland
2 shared publications - Sh. I. Kenenbay
Department of Food Technology, Almaty Technological University, 050012 Almaty, Kazakhstan
2 shared publications - Madina Kozhakhiyeva
Department of Food Technology, Almaty Technological University, 050012 Almaty, Kazakhstan
1 shared publication
Latest Publications
- Open Access
Optimization of Juice- and Poultry-Industry By-Product Incorporation in Cooked Sausage Formulations Using Response Surface Methodology
Sustainability concerns are driving greater interest in valorizing agri-food by-products as ingredients in meat products. This study aimed to optimize a cooked turkey sausage formulation incorporating apple pomace powder (APP), turkey skin (TS), and iced water (IW) and to evaluate their effects on physicochemical, textural, and sensory properties. Response surface methodology (RSM) was applied with APP (1–5%), TS (20–30%), and IW (15–30%) as independent variables. The responses evaluated were pH, cooking yield, color parameters (L*, a*, and b*), hardness, and overall acceptability. Numerical optimization identified a formulation containing 4.45% APP, 23.19% TS, and 15.73% IW, with predicted values of pH 5.63, cooking yield 87.21%, lightness (L*) 73.78, redness (a*) 4.81, yellowness (b*) 11.35, hardness 51.21 N, and overall acceptability 6.59. Experimental validation showed that the measured responses were generally consistent with the RSM predictions, although a larger deviation was observed for b*. Principal component analysis (PCA) showed that PC1 and PC2 explained 51.66% and 28.89% of the total variance, respectively, accounting for 80.55% cumulatively. PCA provided an exploratory representation of relationships among the measured responses, with PC1 primarily contrasting pH and lightness with cooking yield, redness, and yellowness, while hardness and overall acceptability were more strongly associated with PC2. Overall, the results demonstrate the feasibility of incorporating APP and TS into cooked turkey sausage and identify an optimized formulation that balances by-product incorporation with physicochemical, textural, and sensory responses.
Open AccessOptimization of Juice- and Poultry-Industry By-Product Incorporation in Cooked Sausage Formulations Using Response Surface Methodology
Sustainability concerns are driving greater interest in valorizing agri-food by-products as ingredients in meat products. This study aimed to optimize a cooked turkey sausage formulation incorporating apple pomace powder (APP), turkey skin (TS), and iced water (IW) and to evaluate their effects on physicochemical, textural, and sensory properties. Response surface methodology (RSM) was applied with APP (1–5%), TS (20–30%), and IW (15–30%) as independent variables. The responses evaluated were pH, cooking yield, color parameters (L*, a*, and b*), hardness, and overall acceptability. Numerical optimization identified a formulation containing 4.45% APP, 23.19% TS, and 15.73% IW, with predicted values of pH 5.63, cooking yield 87.21%, lightness (L*) 73.78, redness (a*) 4.81, yellowness (b*) 11.35, hardness 51.21 N, and overall acceptability 6.59. Experimental validation showed that the measured responses were generally consistent with the RSM predictions, although a larger deviation was observed for b*. Principal component analysis (PCA) showed that PC1 and PC2 explained 51.66% and 28.89% of the total variance, respectively, accounting for 80.55% cumulatively. PCA provided an exploratory representation of relationships among the measured responses, with PC1 primarily contrasting pH and lightness with cooking yield, redness, and yellowness, while hardness and overall acceptability were more strongly associated with PC2. Overall, the results demonstrate the feasibility of incorporating APP and TS into cooked turkey sausage and identify an optimized formulation that balances by-product incorporation with physicochemical, textural, and sensory responses.
- Open Access
Utilizing Apple Pomace in Meat Products: A Systematic Review and Meta-Analysis
Apple pomace, a byproduct of juice production, is a sustainable source of dietary fiber and polyphenols with potential in food systems. This study aimed to systematically review 69 articles and perform a meta-analysis on 17 experimental studies to quantify the impact of AP on meat products. Using a random-effects model (Inverse Variance method; I2 = 99–100%), mean differences (MD) and 95% confidence intervals (CI) were calculated. Results revealed that AP significantly increased total dietary fiber (MD = 1.84; p < 0.00001) and reduced pH (MD = −0.18; p < 0.00001). Regarding color, AP significantly decreased redness (a*) (MD = −1.47; p < 0.005) but had no significant impact on lightness (L*) (MD = 0.34; p = 0.70) or yellowness (b*) (MD = −1.32; p = 0.08). Sensitivity analysis confirmed the robustness of these trends across diverse meat matrices. Despite high statistical heterogeneity, the consistent direction of effect provides high certainty of evidence. Findings suggest that inclusion levels exceeding 10% may increase variability and adversely affect redness and acidity. In conclusion, AP is a promising functional ingredient for sustainable, fiber-enriched meat products. However, a successful application requires optimizing inclusion levels to balance technological performance with consumer acceptance.
Open AccessUtilizing Apple Pomace in Meat Products: A Systematic Review and Meta-Analysis
Apple pomace, a byproduct of juice production, is a sustainable source of dietary fiber and polyphenols with potential in food systems. This study aimed to systematically review 69 articles and perform a meta-analysis on 17 experimental studies to quantify the impact of AP on meat products. Using a random-effects model (Inverse Variance method; I2 = 99–100%), mean differences (MD) and 95% confidence intervals (CI) were calculated. Results revealed that AP significantly increased total dietary fiber (MD = 1.84; p < 0.00001) and reduced pH (MD = −0.18; p < 0.00001). Regarding color, AP significantly decreased redness (a*) (MD = −1.47; p < 0.005) but had no significant impact on lightness (L*) (MD = 0.34; p = 0.70) or yellowness (b*) (MD = −1.32; p = 0.08). Sensitivity analysis confirmed the robustness of these trends across diverse meat matrices. Despite high statistical heterogeneity, the consistent direction of effect provides high certainty of evidence. Findings suggest that inclusion levels exceeding 10% may increase variability and adversely affect redness and acidity. In conclusion, AP is a promising functional ingredient for sustainable, fiber-enriched meat products. However, a successful application requires optimizing inclusion levels to balance technological performance with consumer acceptance.