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Quality Characteristics of Rice Cookies Prepared with Stevia rebaudiana Leaf (스테비아(Stevia rebaudiana)잎 첨가 쌀쿠키의 품질 특성)

  • Kim, Dah-Sol;Shin, Jihun;Joo, Nami
    • Journal of the Korean Dietetic Association
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    • v.23 no.1
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    • pp.14-26
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    • 2017
  • The purpose of this study was to determine the optimal recipe of rice cookies with two different amounts of Stevia rebaudiana leaf and grape seed oil, using a central composite design (CCD). In addition, mixing conditions of rice cookies were optimized by sensory evaluation and mechanical and physicochemical analysis using response surface methodology (RSM). RSM was used to obtain 10 experimental points (including two replicates of Stevia rebaudiana leaf and Grape seed oil), and the formulation of Stevia rebaudiana leaf added rice cookies was optimized using rheology. The results of mechanical and physicochemical analysis showed significant values for lightness, redness, yellowness, hardness, spread factor, loss rate, leavening rate, sweetness, moisture, pH, and density (P<0.001), results of the sensory evaluation showed significant values for color, flavor, taste, texture, appearance, and overall quality (P<0.05). As a results, optimal sensory ratio was found to be 1.98 g of Stevia rebaudiana leaf and 37.94 g of Grape seed oil.

Processing Optimization of Seasoned Laver Pyropia yezoensis Using Seasoning Sauce with Conger Eel Conger myriaster (붕장어(Conger myriaster) 시즈닝을 활용한 조미김(Pyropia yezoensis)의 제조공정 최적화)

  • Kim, Do Youb;Kang, Sang In;Lee, Chang Young;Kim, Hye Jin;Lee, Jung Suck;Heu, Min Soo;Kim, Jin-Soo
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.53 no.3
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    • pp.368-381
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    • 2020
  • This study was conducted to optimize the processing conditions of seasoned laver Pyropia yezoensis with conger eel Conger myriaster seasoning sauce (CES) using response surface methodology (RSM). The RSM program results for bonesoftness showed that the optimum independent variables based on the dependent variables (Y1, lipid removal rate; Y2, texture; and Y3, sensory fish odor score) were 431.0% for X1 (water amount), 115.6℃ for X2 (retort-operated temperature), and 50.1 min for X3 (retort-operated time). The RSM program results for the CES blend showed that the optimum independent variables (X1, amount of bone-softened conger eel by-products; X2, mixed sauce amount; and X3, starch amount) based on the dependent variables (Y1, amino-N; Y2, Hunter redness; and Y3, drying time) were 44.8% for A (pre-treated conger eel by-product), 36.0% for B (mixed sauce), and 19.2% for C (starch). The RSM program results for seasoned laver with CES showed that the optimum independent variables based on the dependent variables (Y1, water activity; Y2, Hunter yellowness; and Y3, overall acceptance) were 5.0% for X1, (CES amount), 313.8℃ for X2 (roasting temperature), and 6.0 s for X3 (roasting time). The seasoned laver with CES prepared under the optimum conditions was superior to commercial seasoned laver in terms of overall acceptance.

Growth Performance, Body Composition and Protein and Energy Utilization of Pigs Fed Ad Libitum Diets Formulated According to Digestible Amino Acid Content

  • Raj, St.;Fandrejewski, H.;Weremko, D.;Skiba, G.;Buraczewska, L.;Zebrowska, T.;Han, In K.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.6
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    • pp.817-823
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    • 2000
  • Four groups of six growing gilts each were fed ad libitum diets composed of cereals and soyabean (SBM) or rapeseed (RSM) meal and containing two levels of crude protein: high - 18.0% (RSM-H) and 16.9% (SBM-H) or low - 15.6% (RSM-L) and 15.1% (SBM-L). The diets were balanced by supplementation with crystalline amino acids and contained apparent ileal digestible lysine, methionine, threonine and tryptophan in proportions (1.00:0.32:0.57:0.18) according to CVB (1995). Voluntary feed intake, weight gain and slaughter and chemical body composition of animals were assessed. Protein and energy balances from 25 to 70 kg body weight were calculated by the comparative slaughter method. Protein source had a significant effect on voluntary feed intake; it was 0.12 kg/d lower in pigs fed the SBM than RSM-diets. Pigs fed on the SBM-L diet consumed the least amount of feed (2.17 kg). Daily gain (average, $900{\pm}12.59g$) and feed conversion ratio ($2.54{\pm}0.04kg/kg$) were not statistically affected by source (SMB and RSM) and protein level (high and low). In empty body similar amounts (g/kg) of protein (163 g), water (635 g) and ash (28 g) were found. However, pigs fed the RSM-L diet were fatter than those fed the SBM-L diet (188 vs. 161 g/kg). No statistical differences were observed in daily protein deposition, which on average amounted to $142{\pm}11g$, or carcass characteristics. An improvement of crude protein utilization by 6.3 percentage units was found by decreasing the protein concentration in the diets. Heat production in the body was not significantly affected by the treatments.

Optimization of Skim Milk Fermentation Conditions by Response Surface Methodology to Improve ACE Inhibitory Activity Using Lactiplantibacillus plantarum K79 (반응표면법에 의한 Lactiplantibacillus plantarumK79를 이용한 ACE(Angiotensin Converting Enzyme) 억제활성 향상을 위한 탈지유 발효조건 최적화)

  • Park, Yu-Kyoung;Hong, Sang-Pil;Lim, Sang-Dong
    • Journal of Dairy Science and Biotechnology
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    • v.40 no.3
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    • pp.93-102
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    • 2022
  • This study was conducted using response surface methodology (RSM) to elucidate fermentation conditions that will optimize ACE inhibitory activity using Lactiplantibacillus plantarum K79. Four independent variables [skim milk (with 1% added glucose) concentration (6%-14%), incubation temperature (32℃-42℃), incubation time (8-24 h), and amount of added starter (0.02%-0.2%)] were evaluated using five-level central composite design and response surface methodology to determine the optimum fermentation condition. The dependent variables were angiotensin converting enzyme (ACE) inhibitory activity (the value obtained from 102 diluted supernatant), and pH. The respective coefficients of determinations (R2) were 0.791 and 0.905 for ACE inhibitory activity and pH. The maximum ACE inhibitory activity was 90% under the following conditions: 10% skim milk (with 1% added glucose) concentration, 37℃ incubation temperature, 17.8 h incubation time, and 0.2% added starter. Based on the RSM, using predicted best ACE conditions for fermentation of 13.49% skim milk (with 1% added glucose) with 0.0578% starter at 33.4℃ for 21.5 h, the predicted ACE inhibitory activity and pH values were 86.69% and 4.6, respectively. Actual ACE inhibitory activity and pH values were 85.5% and 4.58, respectively

Quality characteristics of functional Nokdujuk prepared with optimum mixing ratio of mulberry leaf and fruit powder by response surface method (반응표면분석법을 이용한 최적 비율의 뽕잎과 오디 분말 첨가 기능성 녹두죽의 품질특성)

  • Kim, Min-Ju;Kim, Ae-Jung
    • Korean Journal of Food Science and Technology
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    • v.49 no.6
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    • pp.699-709
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    • 2017
  • This study was performed to develop and evaluate functional prepared with optimum mixing of mulberry leaf and fruit powder using response surface method (RSM). In order to develop the optimized functional Nokdujukr using RSM, mulberry leaf powder (MLP:X1) and mulberry fruit powder (MLF:X2) were set as independent variables, and pH (Y1), sweetness (Y2), viscosity (Y3), L (Y4), a (Y5), b (Y6), color (Y7), flavor (Y8), taste (Y9), overall quality (Y10), TPC (Y11), and DPPH radical scavenging ability ($IC_{50}$)(Y12) were set as dependent variables. The optimum mixing ratio of MLP and MLF was determined to be 3.88 g of MLP and 6 g of MLF. The values of color, flavor, taste, overall quality, TPC, and DPPH radical scavenging ability ($IC_{50}$) of optimized Nokdujuk were 5.20, 5.85, 6.00, 6.22, 330.99 mg TAE/g and 650.10 g/mL, respectively. In conclusion, this study has led to the development of an improved version of Nokdujuk that has antioxidative properties and good sensory evaluation and, will likely serve as a functional meal replacement for the busy modern world.

Prediction of the Combustion Performance in the Coal-fired Boiler using Response Surface Method (반응표면법을 이용한 석탄 화력 보일러 연소특성 예측)

  • Shin, Sung Woo;Kim, Sin Woo;Lee, Eui Ju
    • Journal of the Korean Society of Safety
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    • v.32 no.1
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    • pp.27-32
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    • 2017
  • The experimental design methodology was applied in the real scale coal-fired boiler to predict the various combustion properties according to the operating conditions and to assess the coal plant safety. Response surface method (RSM) was introduced as a design of experiment, and the database for RSM was provided with the numerical simulation of the coal-fired boiler. The three independent variables, high heating value of coal (HHV), overall stoichiometry excess air ratio (OST), and burner-side stoichiometry excess air ratio (BST), were set to characterize the cross section averaged NOx concentration and temperature distribution. The maximum NOx concentration was predicted accurately and mainly controlled by BST in the boiler. The parabola function was assumed for the zone averaged peak temperature distribution, and the prediction was in a fairly good agreement with the experiments except downstream. Also, the location of the peak temperature was compared with that of maximum NOx, which implies that thermal NOx formation is the main mechanism in the coal-fired boiler. These results promise the wide use of statistical models for the fast prediction and safety assessment.

Sensory Evaluation of Prunus mume Extract-Added Vinegared Red Pepper Paste Using Response Surface Methodology

  • Seog, Eun-Ju;Lee, Jun-Ho
    • Preventive Nutrition and Food Science
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    • v.13 no.1
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    • pp.40-44
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    • 2008
  • Response surface methodology (RSM) was used for analyzing the manufacturing process of Prunus mume extract-added vinegared red pepper paste (maesil chokochujang) with respect to sensory quality properties. Experiments were carried out according to a central composite design, selecting the amount of kochujang, amount of maesil extract, and type of sugar in the mixture as independent variables; sensory attributes such as flavor, taste, color, and mouthfeel viscosity as response variables. The polynomial models developed by RSM for sensory color and mouthfeel viscosity were highly effective to describe the relationships between the factors studied and the responses. The estimated response surfaces confirmed that the amount of kochujang had a positive effect on color (p<0.001) whereas the amount of maesil extract had a positive effect on mouthfeel viscosity (p<0.001). Increase in the amount of kochujang led to a sharp increase of the sensory score on color at all the maesil extract and sugar type levels. On the other hand, increase in the amount of maesil extract caused a sharp increase in the mouthfeel viscosity value regardless of kochujang concentration and type of sugar. The differences among samples made with different types of sugar were not significant (p>0.05).

Optimization of ultrasound-assisted extraction of glycyrrhizic acid from licorice using response surface methodology

  • Jang, Seol;Lee, A. Yeong;Lee, A. Reum;Choi, Goya;Kim, Ho Kyoung
    • Integrative Medicine Research
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    • v.6 no.4
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    • pp.388-394
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    • 2017
  • Background: The present study optimized ultrasound-assisted extraction conditions to maximize extraction yields of glycyrrhizic acid from licorice. Methods: The optimal extraction temperature ($X_1$), extraction time ($X_2$), and methanol concentration ($X_3$) were identified using response surface methodology (RSM). A central composite design (CCD) was used for experimental design and analysis of the results to obtain the optimal processing parameters. Results: Statistical analyses revealed that three variables and the quadratic of $X_1$, $X_2$, and $X_3$ had significant effects on the yields and were followed by significant interaction effects between the variables of $X_2$ and $X_3$ (p<0.01). A 3D response surface plot and contour plots derived from the mathematical models were applied to determine the optimal conditions. The optimum ultrasound-assisted extraction conditions were as follows: extraction temperature, $69^{\circ}C$; extraction time, 34?min; and methanol concentration, 57%. Under these conditions, the experimental yield of glycyrrhizic acid was 3.414%, which agreed closely with the predicted value (3.406%). Conclusion: The experimental values agreed with those predicted by RSM models, thus indicating the suitability of the model employed and the success of RSM in optimizing the extraction conditions.

Removal of sulphate from landfill leachate by crystallization

  • Aygun, Ahmet;Dogan, Selim;Argun, Mehmet Emin;Ates, Havva
    • Environmental Engineering Research
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    • v.24 no.1
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    • pp.24-30
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    • 2019
  • The present study explores the applicability of response surface methodology (RSM) in conjunction with central composite design (CCD) matrix to statistically optimize ettringite crystallization process for the removal of sulphate from landfill leachate. A three factor-five coded level CCD with 20 runs, was performed to estimate the best fitted model. The RSM results indicated that the fitted quadratic regression model could be appropriate to predict sulfate removal efficiency. The pH was identified as the most dominant parameter affecting sulphate removal. 61.6% of maximum sulphate removal efficiency was obtained at pH of 11.06 for a 1.87 of $Ca/SO_4$ and 0.51 of $Al/SO_4$ molar ratios. The operating cost for ettringite crystallization at optimized conditions was calculated to be 0.52 $/$m^3$. The significance of independent variables and their interactions were tested by analysis of variance. Scanning electron microscope (SEM) and SEM coupled with energy dispersive X-Ray spectroscopy results confirmed the formation of ettringite crystal and were used to describe its morphology features.

Level Optimization of Beet Powder and Caramel Color for Beef Color Simulation in Meat Analogs before and after Cooking

  • Seonmin Lee;Kyung Jo;Seul-Ki-Chan Jeong;Yun-Sang Choi;Samooel Jung
    • Food Science of Animal Resources
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    • v.43 no.5
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    • pp.889-900
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    • 2023
  • In this study, concentration levels of beet powder (BP) and caramel color (CC) were optimized to simulate beef color in meat analogs before and after cooking. The central composite design of response surface methodology (RSM) was used to set the levels of BP and CC, and the CIE L*, CIE a*, and CIE b* were selected as the responses for RSM. After optimization, myoglobin-free beef patties were prepared with three optimized levels of BP and CC. When raw, all the patties had the same color as natural beef; however, CIE L*, CIE a*, and CIE b* were statistically different from those of beef after cooking (p<0.05). Moreover, the use of BP and CC induced "browning" after the cooking process, with no excessive yellow color. Therefore, based on the overall desirability in the color optimization using RSM, the combination of BP (1.32%) and CC (1.08%) with the highest overall desirability can be used to simulate the color change of beef in meat analogs.