Effect of preheating on the gel characteristics of pork myofibrillar protein gels with red bean protein and 7S globulin

Meat Science ◽  
2014 ◽  
Vol 96 (1) ◽  
pp. 460
Author(s):  
H.S. Jang⁎ ◽  
K.B. Chin
Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1244
Author(s):  
Malik Adil Nawaz ◽  
Tanoj Kumar Singh ◽  
Regine Stockmann ◽  
Hema Jegasothy ◽  
Roman Buckow

The objective of this research was to develop a model faba bean drink with a high concentration of protein (>4% w/w). The protein molecular weights and frequency for both faba and soy were assessed using SDS-PAGE. Results showed similarities in the protein molecular weight of both faba and soy (mainly 11S globulin ~Glycinin and 7S globulin ~β-conglycinin). Thus, faba can be considered as a potential soy replica in plant-based milk beverages. Oil-in-water emulsions (5–8% w/w available protein) were prepared using faba bean protein concentrate (FPC), 1% sunflower oil, and 0.2% sunflower lecithin. These emulsions were used as model beverages and were further investigated for UHT processibility, stability, and physicochemical properties. The physicochemical properties of emulsions at various processing stages viz., coarse emulsification, homogenisation, and UHT, were measured. An increase in the protein concentration and thermal treatment resulted in an increased oil droplet size, coalescence and flocculation, and protein aggregation. Lower protein concentrations viz., 5–6%, showed greater negative ζ-potential, and thereby, high dispersibility through enhanced electrostatic repulsions than those of higher concentrations (7–8%). Furthermore, an increase in protein concentration and UHT treatment resulted in an increased creaming index. In total, 21 different volatile compounds were detected and quantified, representing different chemical classes, namely alcohols, aldehydes, ketones, esters, furan, and acids. These volatiles have major consequences for the overall flavour chemistry of the model beverage product. Overall, this study showed the potential for application of faba bean as a protein source in UHT-treated legume-based beverages and identified areas for further development.


2017 ◽  
Vol 1 (1) ◽  
pp. 109 ◽  
Author(s):  
Andrew J. Gravelle ◽  
Alejandro G. Marangoni ◽  
Shai Barbut

2020 ◽  
Vol 2 (2) ◽  
pp. 77-85
Author(s):  
Slamet Hadi Kusumah ◽  
Robi Andoyo ◽  
Tita Rialita

Stunting children need food intake with higher protein and essential amino acids such as lysine and leucine than normal children. Red Beans (Phaseolus Vulgaris L.) and Green Beans (Phaseolus Radiatus L.) have protein content, respectively 22.07 ± 0.13% and 19.99 ± 0.07%, and are rich in essential amino acids lysine and leucine needed by a stunting child. The Development of food products with high protein concentrations (high protein food) such as isolates/protein concentrates is an important subject that must be done. This study aims to determine the technique of isolating red bean and green bean protein through extraction and deposition methods at isoelectric pH. The research method used is an experimental method with descriptive data analysis. Identification of isoelectric pH of red bean and green bean protein is done through electrophoretic mobility (cm2/Vs) testing on samples that have been conditioned at 3 different depositional pHs namely pH 3.00, 4.00, and 5.00. The results showed the isoelectric pH value of red bean and green bean protein, namely pH 4.56 and pH 4.81 respectively, where the pH had electrophoretic mobility values equal to zero. The process of isolating red bean and green bean protein produces protein powder with a protein content of 79.22 ± 0.06% and 80.69 ± 0.06%, respectively. Based on the weight yield, red bean and green bean protein concentrate powder had a yield of 14.88% and 16.75%, respectively.


RSC Advances ◽  
2015 ◽  
Vol 5 (75) ◽  
pp. 60723-60735 ◽  
Author(s):  
Andrew J. Gravelle ◽  
Shai Barbut ◽  
Alejandro G. Marangoni

The mechanical properties of glass and wax particle-filled myofibrillar protein gels were characterized based on filler size and surface effects. Increases in elastic moduli were explained using established models describing particle-filled networks.


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