• Food Science and Preservation
• /
• v.10 no.2
• /
• pp.219-223
• /
• 2003

Response surface methodology was used for monitoring and optimizing the extraction conditions of campesterol, stigmasterol, ${\beta}$ -sitosterol, and total sterols from the safflower seed. The conditions of phytosterol extraction were optimized by using central composite design with the temperature(35∼75$^{\circ}C$, X$_1$), the time (1∼11hr, X$_2$), and the preheating temperature(60∼100$^{\circ}C$, X$_3$) as three variables. The extraction conditions for maximum campesterol content were 59.01$^{\circ}C$(X$_1$), 2.88hr(X$_2$), and 75.04$^{\circ}C$(X$_3$). But stigmasterol, ${\beta}$ -sitosterol and total sterols were not significantly different under designed extraction condition in this study. Besides, oil was extracted from safflower seed at various conditions and yields were 23.44% at 35$^{\circ}C$ and 20.05% at 80$^{\circ}C$, respectively. Total tocopherol content increased from 0.172% to 0.207% as the extraction temperature increased from 35$^{\circ}C$ to 80$^{\circ}C$. A structured lipids(SL) was synthesized enzymatically by extracted safflower oil and conjugated linoleic acid(CLA). After 24hr reaction, 31.79 mol% CLA was incorporated into the extracted safflower oil.

• Food Science and Preservation
• /
• v.15 no.1
• /
• pp.21-29
• /
• 2008

This study investigated the fermentation and quality characteristics of a fermented beverage, prepared by semi-anaerobic culture, using sea tangle extract. A central composit design using alcohol(0, 0.5, 1.0, 1.5, 2.0% [all v/v] ), sugar(0, 5, 10, 15, 20% [all w/v] ) and $65^{\circ}Brix$ citrus juice(0, 1.0, 2.0, 3.0, 4.0 % [all v/v] ) was used to find the optimal mix for fermentation. Sensory characteristics, such as color, flavor, taste, sweetness, saltiness, sourness and overall quality, were measured using a response surface methodology computer program. The optimal conditions that produced the highest acidity of 0.94 were 2.0 % ethanol, 10.17 % sucrose and 1.99 % citrus juice. The optimal conditions that produced gel 20.13 nun in thickness were 1.98% alcohol, 10.94% sucrose and 1.62% citrus juice. The overall optimal conditions that satisfied all the sensory requirements for a sea tangle beverage were 1.0% alcohol, 10.0% sucrose and 4.05% citrus juice.

• Korean Journal of Food Science and Technology
• /
• v.37 no.2
• /
• pp.194-198
• /
• 2005

Growth curves of Listeria monocytogenes in modified surimi-based imitation crab (MIC) broth were obtained by measuring cell concentration in MIC broth at different culture conditions [initial cell numbers, $1.0{\times}10^{2},\;1.0{\times}10^{3}\;and\;1.0{\times}10^{4}$, colony forming unit (CFU)/mL; temperature, 15, 20, 25, 37, and $40^{\circ}C$] and applied to Gompertz model to determine microbial growth indicators, maximum specific growth rate constant (k), lag time (LT), and generation time (GT). Maximum specific growth rate of L. monocytogenes increased rapidly with increasing temperature and reached maximum at $37^{\circ}C$, whereas LT and GT decreased with increasing temperature and reached minimum at $37^{\circ}C$. Initial cell number had no effect on k, LT, and GT (p > 0.05). Polynomial and square root models were developed to express combined effects of temperature and initial cell number using Gauss-Newton Algorism. Relative coefficients of experimental k and predicted k of polynomial and square root models were 0.92 and 0.95, respectively, based on response surface model. Results indicate L. monocytogenes growth was mainly affected by temperature and square root model was more effective than polynomial model for growth prediction.

• Korean Journal of Food Science and Technology
• /
• v.44 no.1
• /
• pp.34-40
• /
• 2012

This study was carried out to investigate the optimal roasting conditions for developing perilla leaf leached tea, which has high functional Perilla frutescens leaves. The roasting processes were carried out with variations in roasting temperature ($120-200^{\circ}C$) and roasting time (15-35 min), the response surface methodology was applied to monitor the changes in qualities of the roasted Perilla frutescens leaves. The antioxidant, bioactive substance in roasted Perilla frutescens leaves, and their extracts were the quality parameters. The total polyphenol and total flavonoid contents increased with time and temperature up to 25 min and $160^{\circ}C$. Antioxidative activities showed a positive correlation with the amount of phenolic compound. Caffeic acid and rosmarinic acid contents increased with time up to a mild temperature, $160^{\circ}C$, while they decreased at high temperatures over $160^{\circ}C$. The optimum roasting conditions selected for developing perilla leaf leached tea were thus $180^{\circ}C$ and 20 min, given the conditions in the above experiments.

• Geotechnical Engineering
• /
• v.13 no.1
• /
• pp.35-46
• /
• 1997

The isotropic single-hardening constitutive model has been applied to predict the behavior of soils during reorientation of principal stresses in the field. The predicted response by the model agrees well with the measured behavior for a series of torsion shear tests performed on hollow cylinder specimens of Ko consoildated clay along various stress -paths. This indicates that the soil behavior during reorientation of principal stresses can be predicted by using the model with application of simple informations given by isotropic compression tests and conventional consolidated-undxained triaxial compression tests. Isotropic elasto-plastic soil behavior has been served during primary loading from both the torsion shear tests and the predictions by the model. However, the directions of maj or principal strain increment given by the model have not coincided with the directions for tests during stress reversal, such as unloading and reloading, within isotropic yield surface for Ko consolidated stress. This indicates that kinematic hardening model instead of isotropic hardening model should be developed to predict the soil behavior during stress reversal. The experimental strain increment vectors in the work-space have been compared with the directions expected for associated and nonassociated flow rules.

• Tuberculosis and Respiratory Diseases
• /
• v.69 no.6
• /
• pp.456-464
• /
• 2010

Background: Synergistic antitumor effects of the combined chemoimmunotherapy based on dendritic cells have been reported recently. The aim of this study is to search new applicability of gefitinib into the combination treatment through the confirmation of gefitinib effects on the monocyte derived dendritic cells (moDCs); most potent antigen presenting cell (APC). Methods: Immature and mature monocyte-derived dendritic cell (im, mMoDC)s were generated from peripheral blood monocyte (PBMC) in Opti-MEM culture medium supplemented with IL-4, GM-CSF and cocktail, consisting of TNF-${\alpha}$ (10 ng/mL), IL-$1{\beta}$ (10 ng/mL), IL-6 (1,000 U/mL) and $PGE_2$ ($1{\mu}/mL$). Various concentrations of gefitinib also added on day 6 to see the influence on immature and mature MoDCs. Immunophenotyping of DCs under the gefitinib was performed by using monoclonal antibodies (CD14, CD80, CD83, CD86, HLA-ABC, HLA-DR). Supernatant IL-12 production and apoptosis of DCs was evaluated. And MLR assay with $[^3H]$-thymidine uptake assay was done. Results: Expression of CD83, MHC I were decreased in mMoDCs and MHC I was decreased in imMoDCs under gefitinib. IL-12 production from mMoDCs was decreased under $10{\mu}M$ of gefitinib sinificantly. Differences of T cell proliferation capacity were not observed in each concentration of geftinib. Conclusion: In spite of decreased expressions of some dendritic cell surface molecules and IL-12 production under $10{\mu}M$ of gefitinib, significant negative influences of gefitinib in antigen presenting capacity and T cell stimulation were not observed.

• Korean Chemical Engineering Research
• /
• v.56 no.2
• /
• pp.229-239
• /
• 2018

The purpose of this study was to effectively produce the biosugar from cell wall of lipid extracted microalgae (LEA) by using microwave-assisted pretreatment without enzymatic hydrolysis process. Response surface methodology (RSM) was applied to optimization of microwave-assisted pretreatment conditions for the production of biosugar based on enzyme-free process from LEA. Microwave power (198~702 W), extraction time (39~241 sec), and sulfuric acid (0~1.0 mol) were used as independent variables for central composite design (CCD) in order to predict optimum pretreatment conditions. It was noted that the pretreatment variables that affect the production of glucose (C6) and xylose (C5) significantly have been identified as the microwave power and extraction time. Additionally, the increase in microwave power and time had led to an increase in biosugar production. The superimposed contour plot for maximizing dependent variables showed the maximum C6 (hexose) and C5 (pentose) yields of 92.7 and 74.5% were estimated by the predicted model under pretreatment condition of 700 w, 185.7 sec, and 0.48 mol, and the yields of C6 and C5 were confirmed as 94.2 and 71.8% by experimental validation, respectively. This study showed that microwave-assisted pretreatment under low temperature below $100^{\circ}C$ with short pretreatment time was verified to be an effective enzyme free pretreatment process for the production of biosugar from LEA compared to conventional pretreatment methods.

• Korean Chemical Engineering Research
• /
• v.56 no.1
• /
• pp.66-72
• /
• 2018

Corn stover is known as a good candidate for a functional food ingredient when the main lignocellulosic material, lignin, is used as bioactive materials as form of polyphenolic compounds. The purpose of this study was to determine the microwave extraction conditions under which total phenolic compounds (TPC) and flavonoid contents of corn stover were maximized. Microwave-assisted extracts using sulfuric acid ranging from 0 to 1.0 mol with extraction time between 40 and 240 sec were conducted by using response surface methodology (RSM). Microwave power showed significant effects (p<0.05) and the concentrations of TPC and flavonoids increased with increased level of microwave power and extraction time. The optimum conditions for corn stover extraction were determined as 698.6 W, 240 sec, and 0 mol sulfuric acid, and the predicted value of TPC and flavonoid is 82.4 mg GAE/g DM and 18.1 mg/g DM, respectively. Microwave extraction was evaluated as an economic process with low energy consumption, short extraction and high extraction yield of bioactive including TPC and flavonoids compared to conventional extractions.

• Korean Journal of Food Science and Technology
• /
• v.46 no.4
• /
• pp.410-417
• /
• 2014

Berries and green tea are underutilized in the food industry despite their great potential as a functional food ingredients. The purpose of this study was to determine the extraction conditions under which total phenolic contents and antioxidant activities of berry and green tea extracts are maximized. Extracts produced using 0-80% ethanol and temperatures ranging from $5-65^{\circ}C$ were evaluated for total phenolic content (TP), as well as for DPPH and ABTS radical-scavenging activities by using response surface methodology. Both ethanol and temperature had significant effects (p<0.05). Ogaja extract produced at $67^{\circ}C$ by using 33% ethanol yielded maximum TP, ABTS, and DPPH values of 23.74 mg GAE/g, 19.77, and 25.04 mg VCE/g, respectively. Optimum conditions for mulberry and raspberry extraction were found to be $65^{\circ}C$ by using 69% and 40% ethanol, respectively. Mulberry and raspberry extracts had TP, DPPH, and ABTS values of 20.74 mg GAE/g, 23.55, and 35.44 mg VCE/g, and 26.08 mg GAE/g, 39.93, and 55.60 mg VCE/g, respectively. Green tea extraction at $57^{\circ}C$ by using 43% ethanol was found to be optimal, yielding TP, ABTS, and DPPH values of 101.15 mg GAE/g, 171.38, and 177.56 mg VCE/g, respectively.

• Journal of the Korea Convergence Society
• /
• v.11 no.3
• /
• pp.53-59
• /
• 2020

Initial response is important in marine oil spills, such as the Hebei Spirit oil spill, but it is very difficult to predict the movement of oil out of the ocean, where there are many variables. In order to solve this problem, the forecasting of oil spill has been carried out by expanding the particle prediction, which is an existing study that studies the movement of floats on the sea using the data of the float. In the ocean data format HDF5, the current and wind velocity data at a specific location were extracted using bilinear interpolation, and then the movement of numerous points was predicted by particles and the results were visualized using polygons and heat maps. In addition, we propose a spill oil particle matching algorithm to compensate for the lack of data and the difference between the spilled oil and movement. The spilled oil particle matching algorithm is an algorithm that tracks the movement of particles by granulating the appearance of surface oil spilled oil. The problem was segmented using principal component analysis and matched using genetic algorithm to the point where the variance of travel distance of effluent oil is minimized. As a result of verifying the effluent oil visualization data, it was confirmed that the particle matching algorithm using principal component analysis and genetic algorithm showed the best performance, and the mean data error was 3.2%.