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Myofibrillar proteins are mainly responsible for the structure-forming properties of emulsified meat products due to their gelling abilities. To enhance the gel characteristics of myofibrillar protein, the effect of lipids in different physical states on MP gelation was studied. In this study, chicken fat (CF), refined palm oil (RPO), and palm stearin (ST) were used to emulsify the extracted chicken myofibrillar protein (MP). The whiteness, water holding capacity, gel strength, solubility, emulsifying stability index, thermal and rheological properties, protein separation, and microstructure of MP gels were evaluated. The results demonstrated that RPO addition increased the physicochemical parameters, followed by CF and ST, and the ratio between MP and lipid was 4 to 1. MP-RPO also showed better thermal properties, characterized by a high peak temperature of peak 3 during differential scanning calorimetry analysis. MP-ST was the most unstable, indicated by the lowest peak temperature, while MP-CF did not differ significantly from MP-RPO. The frequency sweep test showed that RPO has the highest G' and lowest tan δ values, indicating a strong network formation. The changes in electrophoresis bands demonstrated that myosin might be involved in creating heat-induced MP gel, with no difference between lipid types. Additionally, the microstructure showed that MP-RPO gel had smaller oil droplets coated with interfacial protein film. Hence, RPO might be the best lipid source when emulsifying chicken protein due to its high water holding capacity with excellent thermal and rheological properties. [ABSTRACT FROM AUTHOR]

This work aimed to evaluate the microstructural, physicochemical and sensorial properties of buffalo meat patties produced using different mixing equipment (bowl cutter, universal mixer, and meat mixer). Scanning electron microscopy revealed a more homogenize emulsion, cohesive structure and smaller pore size of patties produced using the bowl cutter, which significantly reduced the total fluid release, water release, fat release and cooking loss as compared to the universal mixer and meat mixer. Production of the buffalo meat patties using bowl cutter also improved the moisture retention and gel strength of the patties. The patties produced using bowl cutter had the significantly highest lightness and yellowness values, while the redness was the lowest. Lower hardness, gumminess and chewiness also were observed from the patties produced using bowl cutter. Quality of the microstructural and physicochemical properties of the patties produced using different equipment can be organized as bowl cutter > universal mixer > meat mixer. Nevertheless, the sensory evaluation demonstrated a higher preference on aroma, flavour and overall acceptability of patties produced using meat mixer due to coarser and meaty texture, while the colour, tenderness, juiciness and springiness did not differ against using bowl cutter and universal mixer. [ABSTRACT FROM AUTHOR]

This study aimed to develop a chia mucilage (MC)-based emulsion gel (EG) with olive oil to replace pork back fat in emulsified meat products. Six variables (alginate—ALG; collagen—COL; whey—WHEY; carboxymethylcellulose—CMC; transglutaminase—MTG; carrageenan—CAR) with MC were evaluated using a Plackett–Burman (PB) design. Then, a complete factorial design was applied to evaluate the interactions and properties of the selected variables (ALG, COL, and WHEY) for the manufacture of EGs. The responses evaluated in the EGs were pH, color, emulsion stability, rheological, and texture parameters. In PB, the variables CMC, COL, ALG, and WHEY did not lead to any significant effects on the pH values of EGs, which ranged from 5.6 to 5.8. WHEY had a significant effect on the increase in luminosity of the EGs. ALG and WHEY decreased the liquid release of the samples showing greater stability of EGs and meat model systems. All samples of EGs, apart from run 5 (CMC, MTG, CAR, and ALG), showed a typical gel-like behavior (Gʹ > Gʺ) and a frequency-independent behavior. Even the formulation with only mucilage (run 12) showed a dominant Gʹ forming a gel-like structure. The complete factorial design showed stable and strong interactions between WHEY, MC, and olive oil, since a small or no liquid release, were observed in all experiments with WHEY. This study contributed to understanding the interactions among MC, biopolymers, and proteins, disclosing the potentiality of chia mucilage-based emulsion gels for the replacement of animal fat in emulsified meat products. [ABSTRACT FROM AUTHOR]

The objectives of this study were to determine efficacy of a membrane filtration in soy hull pectin purification and evaluate combined effects of soy hull pectin and pre-emulsified fiber/oil (PE) on chemical composition and technological properties of low fat and low salt meat emulsions. Soy hull pectin was purified through two different methods (alcohol-washed (ASP) and membrane-filtered (MSP)). Insoluble soy hull residues after pectin extraction were incorporated with sunflower oil and water for the PE preparation. Meat emulsion was formulated with 58 % pork, 20 % ice, 20 % pork backfat, and 2 % NaCl as control. A total of six low fat and low salt meat emulsions (1 % NaCl and 10 % backfat) was manufactured with 1 % pectin (with/without ASP or MSP) and 10 % PE (with/without). The pectin content of ASP and MSP was 0.84 and 0.64 g -galacturonic acid/g dry sample, respectively. The inclusion of soy hull pectin caused similar results on chemical composition, color, cooking loss, and texture of the meat emulsions, regardless of the purification method. In addition, positive impacts of the combined treatments with soy hull pectin and PE compared to single treatments on cooking loss and texture of the meat emulsions were observed. Results suggest that membrane filtration could be an effective alternative method to purify pectin, instead of alcohol-washing, and both soluble pectin and insoluble fiber from soy hulls could be used as a functional non-meat ingredient to manufacture various low fat and low salt meat products. [ABSTRACT FROM AUTHOR]

The effect of oil concentration (57.50, 58.75, 60.00 and 61.25 %) and temperature (5, 10 and 15 ºC) on steady shear rheological properties of O/W model system meat emulsions were investigated. The effect of temperature and oil concentration was modeled using power law and exponential type functions. The meat emulsions showed non-Newtonian flow behavior because flow behavior index was lower than unity. Consistency coefficient and flow behavior index values of O/W model system meat emulsions were calculated using Oswald de Waele model with higher coefficients of determination. Apparent viscosities of emulsions at a specified shear rate (50 s) were in the range of 0.652-0.941 Pa s. Increasing oil concentration provided an increase in apparent viscosity and increase in temperature levels resulted a decrease in consistency coefficient values. The exponential function performed better than the power-law function ( R > 0.922) in terms of describing the effect of oil concentration on the steady shear rheological properties of the model system meat emulsions. Higher coefficients of determination ( R = 0.979-0.999) were observed in exponential-type function compared to a power law function ( R = 0.880-0.946). [ABSTRACT FROM AUTHOR]

The effect of salt and liver/fat ratio on the viscoelastic characteristics of liver paste and its intermediates (liver batter and liver paste batter) were evaluated by applying dynamic oscillatory tests in order to obtain detailed insight into the structural organisation of those products and how the characteristics of the intermediates are related to those of the end product. Liver paste batters were prepared at liver/fat ratios of 35/35 ( w/ w) and 20/50 ( w/ w). Salt was added at 0 and 1.8 % at each ratio. Stress sweeps and frequency sweeps were executed to characterise the viscoelastic properties of liver batter, liver paste batter and liver paste. Both intermediates and liver paste were characterised as weak gel-like emulsions with G′ greater than G″. G′ and G″ of liver paste were higher in magnitude compared with both intermediates due to structure building during pasteurisation and cooling. Generally, the values of the viscoelastic parameters of liver paste batter and liver paste increased with the addition of salt. With salt, a stronger and more stable liver paste was obtained. This effect may be attributed to solubilisation of salt soluble proteins, making more liver proteins available to act as emulsifier. However, salt affected the viscoelastic properties of liver batter in the opposite way: a weaker structure was formed with salt. A higher liver/fat ratio (35/35 versus 20/50) only increased the viscoelastic properties of liver paste batter while liver paste was not affected. This is probably due to the crystallisation of the fat in the liver paste with a high fat/liver ratio, which besides the liver proteins, also aid to structure building of liver paste. However, a higher liver/fat ratio did increase the critical stress ( σ) in both liver paste batter and liver paste with the formation of a more stable structure. [ABSTRACT FROM AUTHOR]

This paper introduces an adaptive neuro - fuzzy inference system (ANFIS) and artificial neural networks (ANN) models to predict the apparent and complex viscosity values of model system meat emulsions. Constructed models were compared with multiple linear regression (MLR) modeling based on their estimation performance. The root mean square error (RMSE), mean absolute error (MAE) and determination coefficient ( R) statistics were performed to evaluate the accuracy of the models tested. Comparison of the models showed that the ANFIS model performed better than the ANN and MLR models to estimate the apparent and complex viscosity values of the model system meat emulsions. Coefficients of determination ( R) calculated for estimation performance of ANFIS modeling to predict apparent and complex viscosity of the emulsions were 0.996 and 0.992, respectively. Similar R values (0.991 and 0.985) were obtained when estimating the performance of the ANN model. In the present study, use of the constructed ANFIS models can be suggested to effectively predict the apparent and complex viscosity values of model system meat emulsions. [ABSTRACT FROM AUTHOR]