• Korean journal of food and cookery science
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• v.25 no.2
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• pp.234-242
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• 2009

This study was performed to find the optimum ratio of ingredients for the manufacture of kiwifruit jam. The experiment was designed according to the D-optimal design of RSM (response surface methodology), which included 18 experimental points with 4 replicates for three independent variables (sugar $35{\sim}60%$, pectin $0.1{\sim}1.0.%$, kiwifruit paste $0.37{\sim}0.90%$). The compositional and functional properties of the prepared products were measured, and these values were applied to mathematical models. A canonical form and trace plot showed the influence of each variable on the quality attributes of the final product mixture. By use of the F-test, viscosity, color values (L, a, b), and sensory characteristics (color) were expressed by a linear model, while the L color value and select sensory characteristics (smell, taste, overall acceptance) were also expressed by a quadratic model. The optimum formulations by the numerical and graphical methods, were similar, and with the numerical method it presented as: sugar, pectin, and barley sproutling powder at 49.7%, 0.5%, and 0.6%, respectively. The above results demonstrate the feasibility of preparing kiwifruit jam added with barley sproutling powder, and therefore, the commercialization of a kiwifruit jam marketed as a functional food is deemed possible.

• Korean journal of food and cookery science
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• v.23 no.4 s.100
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• pp.551-560
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• 2007

This study was performed to determine the optimum ratio of ingredients in the Sulgidduk with barley(Hordeum vulgare L.) sprout powder. A mathematical analytical tool was employed for optimization of the typical ingredients. The canonical form and trace plot showed the affect of each ingredient in the mixture against the final product. Mixture design showed 14 experimental points, including 4 replicates for three independent variables. The three independent variables selected for the experiment were: water($15{\sim}22%$), barley sprout powder($1{\sim}4%$), and sugar($12{\sim}19%$). The optimum responses variables such as color values(L, a, and b), instrumental texture parameters(hardness, gumminess, and chewiness), and sensory characteristics(appearance, color, smell, taste, softness, moistness, and overall acceptability) were evaluated. The Hunter colorimetric L- and a-values of the Sulgidduk decreased with an increasing amount of barley sprout powder. As more barley sprout powder was added, a higher b-value resulted. Textural hardness, gumminess, and chewiness were lowered by the addition of barley sprout powder. The optimum formulation obtained by both numerical and graphical methods showed similar results. The representative optimal ingredient ratio commonly obtained by both methods were: 18.2% water, 2.0% barley sprout powder, and 14.8% sugar.

• BMB Reports
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• v.35 no.5
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• pp.472-475
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• 2002

Phaseolus vulgaris phytohemagglutinin L is a homotetrameric-leucoagglutinating seed lectin. Its three-dimensional structure shows similarity with other members of the legume lectin family. The tetrameric form of this lectin is pH dependent. Gel filtration results showed that the protein exists in its dimeric state at pH 2.5 and as a tetramer at pH 7.2. Contrary to earlier reports on legume lectins that possess canonical dimers, thermal denaturation studies show that the refolding of phytohemagglutinin L at neutral pH is irreversible. Differential scanning calorimetry (DSC) was used to study the denaturation of this lectin as a function of pH that ranged from 2.0 to 3.0. The lectin was found to be extremely thermostable with a transition temperature around $82^{\circ}C$ and above $100^{\circ}C$ at pH 2.5 and 7.2, respectively. The ratio of calorimetric to vant Hoff enthalpy could not be calculated because of its irreversible-folding behavior. However, from the DSC data, it was discovered that the protein remains in its compact-folded state, even at pH 2.3, with the onset of denaturation occurring at $60^{\circ}C$.

• Journal of the Korean Dietetic Association
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• v.16 no.4
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• pp.341-352
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• 2010

The aim of this study was to use purple sweet potato powder to develop a recipe for a nutritional cookie with an optimal composition of ingredients and texture, in order to acquire strong preference responses by all age groups in sensory tests. Wheat flour was partially substituted with purple sweet potato powder to reduce the wheat flour content of the cookies. Measurements were made and analyzed according to the Response Surface Methodology technique, which showed 16 experimental points including 3 replicates for the purple sweet potato powder, sugar, and butter. The compositional and functional properties of the sample were measured, and the values obtained were applied to a mathematical model. A canonical form and perturbation plot showed the influence of each ingredient on the final product mixture. The results of sensory evaluations showed very significant values for flavor (P<0.0071), texture (P<0.0306), taste (P<0.0190), and overall quality (P<0.0142). Instrumental analysis showed significant values for hardness (P<0.0027), yellowness (P<0.0061) and spread ratio (P<0.0001). The optimal compositional ratios were determined to be 21.75 g for the purple sweet potato powder, 37.05 g for the sugar, and 60.59 g for the butter.

• The Korean Journal of Food And Nutrition
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• v.27 no.4
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• pp.706-715
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• 2014

The purpose of this study was to determine the optimal mixing ratio of Alaska Pollack (Theragra chalcogramma) and olive oil in the preparation of sausage. The experiment was designed according to the central composite design for estimating the response surface, which demonstrated 10 experimental points including 2 replicates for Alaska Pollack and olive oil. The physical, mechanical and sensory properties of test materials were measured. A canonical form and perturbation plot showed the influence of each ingredient on the final product mixture. Measurement results of the physical and mechanical properties showed a significant increase or decrease in the following properties: dough sweetness (p<0.05); sausage L (p<0.05), a (p<0.001), and b (p<0.01); hardness (p<0.01), chewiness (p<0.05), and gumminess (p<0.01). Also, the sensory measurements showed a significant improvement in color (p<0.05), flavor (p<0.01), taste (p<0.001), tenderness (p<0.05), chewiness (p<0.01), mositness (p<0.05), and overall quality (p<0.01). As a result, the optimum formulation by numerical and graphical methods was calculated as Alaska Pollack 35.74 g and olive oil 7 g.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.347-358
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• 2012

Purpose: Given the mixture components - process variables experimental data, we propose the strategy to find the proper combined model. Methods: Process variables are factors in an experiment that are not mixture components but could affect the blending properties of the mixture ingredients. For example, the effectiveness of an etching solution which is measured as an etch rate is not only a function of the proportions of the three acids that are combined to form the mixture, but also depends on the temperature of the solution and the agitation rate. Efficient designs for the mixture components - process variables experiments depend on the mixture components - process variables model which is called a combined model. We often use the product model between the canonical polynomial model for the mixture and process variables model as a combined model. Results: First we choose the reasonable starting models among the class of admissible product models and practical combined models suggested by Lim(2011) based on the model selection criteria and then, search for candidate models which are subset models of the starting model by the sequential variables selection method or all possible regressions procedure. Conclusion: Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption. The strategy to find the proper combined model is illustrated with examples in this paper.

• The Korean Journal of Food And Nutrition
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• v.27 no.5
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• pp.929-939
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• 2014

The purpose of this study was to determine the optimal mixing ratio of Gynura procumbens and milk in the preparation of beef patties. The experiment was designed according to the central composite design for estimating the response surface, demonstrating 10 experimental points including 2 replicates for Gynura procumbens and milk. The physical, mechanical and sensory properties of the test materials were measured, and a canonical form and perturbation plot were used to show the influence of each ingredient on the final product mixture. Results of the measurements showed significant increases or decreases in the following properties: dough moisture (p<0.05); beef patty a (p<0.001) and b (p<0.001); hardness (p<0.01), adhesiveness (p<0.05), chewiness (p<0.05), and gumminess (p<0.05). In addition, the sensory measurements showed significant improvements in color (p<0.001), flavor (p<0.05), greasy (p<0.05) and overall quality (p<0.05). The optimum formulation calculated from the numerical and graphical analysis was 1.75 g Gynura procumbens and 20.44 g of milk.

• The Korean Journal of Food And Nutrition
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• v.27 no.2
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• pp.318-329
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• 2014

The purpose of this study was to determine the optimal mixing ratio of Allium hookeri powder and butter in the preparation of bread. The experiment was designed according to the central composite design for estimating the response surface, which demonstrated 10 experimental points, including 2 replicates for Allium hookeri powder and butter. Further, the mechanical and sensory properties of test materials were measured. A canonical form and perturbation plot conveyed the influence of each ingredient on the final product mixture. Overall, the measurement results of the mechanical properties showed a significant increase or decrease in dough pH, sweetness, volume, weight, height, specific volume, a & b-value of crumb and, springiness (p<0.05). Moreover, the sensory measurements demonstrated a significant improvement in color, appearance, texture, moistness and, overall quality. As a result, the optimum formulation from the numerical and graphical methods was calculated as 22.65 g of Allium hookeri powder and 47.77 g butter. After optimization, DPPH free radical scavenging activity, total phenolic content, and total plate counts over 10 days were evaluated. In sum, the results revealed the antioxidant and antibiotic actions of bread with Allium hookeri powder.

• Korean journal of food and cookery science
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• v.25 no.3
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• pp.337-344
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• 2009

The principal objective of this study was to determine the optimal mixing conditions of three different amounts of small black soybeans, sugar, and plain yogurt, for the preparation of a small black soybean smoothie. The experimental design utilized herein was based on the Central composite design methodology of response surface, which included 16 experimental points, including 2 replicates for the small black soybeans, sugar, and plain yogurt. The physiochemical and sensory properties of the test were measured, and these values were applied to the mathematical models. A canonical form and perturbation plot showed the influence of each ingredient on the mixed final product. The L value and a value decreased with increasing quantities of small black soybeans, but the b values increased with greater additions of small black soybeans. Sweetness increased with increasing amount of added sugar. The results of sensory evaluation showed very significant values for color (p<0.01), taste (p<0.05) and overall quality (p<0.05) in the predicted model. As a result, the optimum formulations by numerical and graphical methods were calculated as follows: small black soybean 79.46 g, plain yogurt 275.07 g, sugar 21.20 g.

• Preventive Nutrition and Food Science
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• v.13 no.4
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• pp.340-347
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• 2008

This study was conducted to develop a recipe for a nutritional cookie with lotus root powder that had the optimal composition of ingredients and texture resulting in high preference by all age groups. Wheat flour was partially substituted with lotus root powder to reduce its content. Response Surface Methodology was used to analyze the measured results, which showed 16 experimental points including 2 replicates for lotus root powder, sugar and butter. The compositional and functional properties were measured, and these values were applied to a mathematical model. A canonical form and perturbation plot showed the influence of each ingredient on the final mixture product. The sensory evaluation results showed significant values in color (p<0.01), texture (p<0.05) and overall quality (p<0.05). As a result, the optimal sensory ratio was determined to be 22.59 g of lotus root powder, and 53.08 g of sugar for every 120 g of butter.