Instrumental texture profile of reduced-caloriePedaas a function of ingredients using response surface methodology

Models capable of predicting product quality of shelled sunflower seed caramel snack have been developed using response surface methodology. The textural profile analysis was conducted on the snacks using a texture analyzer. The quality attributes measured were hardness, cohesiveness, springiness, chewiness, and resilience as a function of sugar and sunflower kernels content. The sugar and shelled seed proportions affect the textural characteristics of the product significantly (p<0.05). The values of hardness, cohesiveness, springiness, chewiness, and resilience varied from 2.048 to 42.030 N, 1.002 to 5.003, 1.138 to 1.69, 2.773 to 228.146N, and 0.301 to 0.779, respectively. The highest values of hardness and chewiness were attained for the product with 70:30 sugar and shelled sunflower seed proportion respectively. Similarly the highest values of cohesiveness, springiness and resilience were observed in 50 : 30, 50 : 40, and 50 : 50 proportions respectively. The lowest values of hardness and chewiness were observed in 50 : 50 (sugar: shelled sunflower seed) proportion respectively. Similarly the lowest values of cohesiveness were observed in 70: 50 whereas the lowest values of springiness and resilience were observed in 70 : 30 proportions respectively. Hardness, cohesiveness, and chewiness trended to increase whereas springiness and resilience decreased with increase in sugar proportion.

Download Full-text

Optimization of the Griddling Process of Kpejigaou (a Traditional Low Fat Nutritious Cowpea Food) Using Response Surface Methodology

Food Science and Technology International ◽

10.1177/1082013210367017 ◽

2010 ◽

Vol 16 (4) ◽

pp. 351-356

Author(s):

E. Amonsou ◽

E. Sakyi-Dawson ◽

F. Saalia ◽

S. Sefa-Dedeh ◽

L.D. Abbey

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Regression Models ◽

Profile Analysis ◽

Textural Properties ◽

Optimum Conditions ◽

Low Fat ◽

Texture Profile ◽

Multiple Regression Models ◽

Important Quality

Kpejigaou is a griddled cowpea paste product eaten mainly in West Africa. As its processing does not involve the use of fat, it has the potential of meeting consumers’ demand for healthy, low fat nutritious foods. Product texture is considered an important quality index by kpejigaou consumers. The objective of this study was to determine the optimum processing conditions of kpejigaou with respect to its textural properties. The study followed a 2 × 3 design with two processing variables each at three levels as follows: griddling temperature (130, 200, 270 °C) and time (5, 7.5 and 10 min). Texture Profile Analysis (TPA) was done on freshly processed samples. The data were fitted into multiple regression models from which the optimum griddling conditions for kpejigaou were determined. Kpejigaou processed at the optimum conditions was evaluated by untrained consumers for acceptability. Traditionally processed kpejigaou served as the control. The TPA results showed that hardness, chewiness and modulus of deformability were significantly affected by griddling conditions. Adjusted R2 for the models for hardness, chewiness and modulus of deformability were 96%, 97% and 78%, respectively. Using response surface methodology, the optimum griddling conditions for kpejigaou (for acceptable textural properties) were determined to be 170 °C for 5-6 min. The texture of optimized kpejigaou was very much liked for its higher degree of sponginess as compared to the control. It also had acceptable sensory attributes of color, taste and flavor. These findings provide the basis for the development of a process for mass production and quality assurance of kpejigaou.

Download Full-text