• Journal of Nutrition and Health
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• v.47 no.6
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• pp.435-442
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• 2014

Purpose: The objective of this study was to develop a fatty acid database (DB) for estimation of intake levels of fatty acids in the Korean population, using data from the Korea National Health and Nutrition Survey (KNHANES). Methods: Analytical values of fatty acids in foods were collected from food composition tables of national institutions (National Fisheries Research & Development Institute, Rural Development Administration), Japan Ministry of Education, Culture, Sports, Science and Technology, US Department of Agriculture, and journal articles that previously reported analytical fatty acid content of some Korean foods. The coverage of fatty acids was C14:0, C16:0, C18:0, C18:1, C18:2 n-6, C18:3 n-3, C20:5 n-3 (EPA), C22:6 n-3 (DHA), SFA, MUFA, and PUFA (n-3, n-6, n-9). The fatty acids DB covered a total of 5,144 food items used in the KNHANES nutrition survey. The food items were preferentially filled with analytical values of the collected data source. An analytical value for each food item was selected based on the priority criteria and the quality evaluation of data sources. Missing values were replaced with calculated or imputed values using the analytical values of similar food items from the data source. Results: A total of 1,545 analytical values, 2,589 calculated values, and 1,010 imputed values were included in the fatty acid DB. The developed fatty acid DB was applied to 2,112 food items available for 2011 KNHANES data. Mean intake levels of total fatty acids and saturated fatty acids were 40.3 g/day and 13.2 g/day, respectively. The estimation of total fatty acid intake was 84.3% (men 83.2%, women 86.0%) of daily total fat intake. Conclusion: This newly developed fatty acid DB would be helpful in determining the association of fatty acids intake and related health concerns in the Korean population.

• Korean Journal of Food Science and Technology
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• v.25 no.4
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• pp.299-306
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• 1993

Determination of dietary fiber contents in some Korean foods was attempted by Englyst's gas chromatographic and colorimetric methods which measure the nonstarch polysaccharide (NSP) contents NSP values, except seaweeds, by gas chromatography (x) and colorimetry (y) were very closely correlated (y=1.01x-0.52, r=0.997, n=9), NSP values by gas chromatography were lower than total dietary fiber (TDF) Haloes by AOAC method. By adding lignin to NSP values, relation between the two methods was improved. But, TDF values (y) by adding lignin to NSP values and TDF values (x) by AOAC method were related as y=0.68x-0.64 and F=0.903(n= 12), which was not closely related.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.4
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• pp.564-568
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• 2018

Objective: This experiment was conducted to determine the effects of dietary ${\beta}$-mannanase on the additivity of true metabolizable energy (TME) and nitrogen-corrected true metabolizable energy ($TME_n$) for broiler diets. Methods: A total of 144 21-day-old broilers were randomly allotted to 12 dietary treatments with 6 replicates. Five treatments consisted of 5 ingredients of corn, wheat, soybean meal, corn distillers dried grains with solubles, or corn gluten meal. One mixed diet containing 200 g/kg of those 5 ingredients also was prepared. Additional 6 treatments were prepared by mixing 0.5 g/kg dietary ${\beta}$-mannanase with those 5 ingredients and the mixed diet. Based on a precision-fed chicken assay, TME and $TME_n$ values for 5 ingredients and the mixed diet as affected by dietary ${\beta}$-mannanase were determined. Results: Results indicated that when ${\beta}$-mannanase was not added to the diet, measured TME and $TME_n$ values for the diet did not differ from the predicted values for the diet, which validated the additivity. However, for the diet containing ${\beta}$-mannanase, measured $TME_n$ value was greater (p<0.05) than predicted $TME_n$ value, indicating that the additivity was not validated. Conclusion: In conclusion, the additivity of energy values for the mixed diet may not be guaranteed if the diet contains ${\beta}$-mannanase.

• Food Science of Animal Resources
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• v.39 no.1
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• pp.45-53
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• 2019

This study observed the effects of the double combination of temperatures-times (2 temperatures: 2 times combination, 2T2T) in sous vide cooking method on the physicochemical properties and collagen solubility (CS) of semitendinosus muscle from cattle and goat as a comparison to common sous vide treatment (1 temperature: 1 time combination, 1T1T). The new invention of sous vide cooking method (2T2T) cooked at the first temperature at $45^{\circ}C$ for 3 h, and the second temperature at $60^{\circ}C$, $65^{\circ}C$, and $70^{\circ}C$ for 3 h, and labeled as N45-60, N45-65, and N45-70, respectively. While, common sous vide treatment (1T1T) were cooked directly for 6 h at $60^{\circ}C$ (T60), $65^{\circ}C$ (T65), and $70^{\circ}C$ (T70). Results revealed that cooking with 2T2T treatment improved the water-holding capacity and reduced the cooking loss of both beef and goat meat. The $L^*$ values have no apparent changes between treatment in beef and goat meat, while $a^*$ values of N45-60 treated goat presented markedly higher values than other treatments but an only slight increase in beef at the same treatment (p>0.05). Again, 2T2T treatment tended to decrease mean shear force (SF) values for beef and goat meat with the lowest SF values recorded at N45-60, and the CS no or less influenced this value. Therefore, the application of innovative sous vides cooking method (2T2T) presented comparable values in the treated beef and goat meat as compared to common sous vide method (1T1T).

• Journal of the Korean Chemical Society
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• v.63 no.4
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• pp.233-236
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• 2019

In this study, the solvolysis of cyclohexanesulfonyl chloride (1) was studied by kinetics in ethanol-water, methanol-water, acetone-water, and 2,2,2-trifluoroethanol (TFE)-water binary solvent systems. The rate constants were applied to the extended Grunwald-Winstein equation, to obtain the values of m = 0.41 and l = 0.81. These values suggested $S_N2$ mechanism in which bond formation is more important than bond breaking in the transition state (TS). Relatively small activation enthalpy values (11.6 to $14.8kcal{\cdot}mol^{-1}$), the large negative activation entropy values (-29.7 to $-38.7cal{\cdot}mol^{-1}{\cdot}K^{-1}$) and the solvent kinetic isotope effects (SKIE, 2.29, 2.30), the solvolyses of the cyclohexanesulfonyl chloride (1) proceeds via the $S_N2$ mechanism.

• Journal of the Korean Institute of Gas
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• v.19 no.3
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• pp.18-24
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• 2015

The flash point is one of the most important indicators of the flammabiliy of liquid solutions. The flash point is the lowest temperature at which there is enough concentration of flammable vapor to form an ignitable mixture with air. In this study the flash points of binary flammable solutions, 2-propanol+propionic acid and n-hexanol+formic acid systems, were measured using Seta flash closed cup tester. Particularly n-hexanol+formic acid system exhibited minimum flash point behavior. The measured values were compared with the calculated values using Raoult's law and optimization method. The calculated data by optimization method described the measured values more effectively than those calculated by Raoult's law.

• Journal of the Korean Society of Safety
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• v.34 no.1
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• pp.34-39
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• 2019

Flash point is the important indicator to determine fire and explosion hazards of liquid solutions. In this study, flash points of n-propanol+n-hexanol and n-butanol+n-hexanol systems were obtained by Seta flash tester. The methods based on UNIFAC equation and multiple regression analysis were used to calculate flash point. The calculated flash point was compared with the experimental flash point. Absolute average errors of flash points calculated by UNIFAC equation are $2.9^{\circ}C$ and $0.6^{\circ}C$ for n-propanol+n-hexanol and n-butanol+n-hexanol, respectively. Absolute average errors of flash points calculated by multiple regression analysis are $0.5^{\circ}C$ and $0.2^{\circ}C$ for n-propanol+ n-hexanol and n-butanol+n-hexanol, respectively. As can be seen from AAE, the values calculated by multiple regression analysis are noticed to be better than the values by the method based on UNIFAC eauation.

• Bulletin of the Korean Mathematical Society
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• v.51 no.5
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• pp.1425-1432
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• 2014

The Euler zeta function is defined by ${\zeta}_E(s)=\sum_{n=1}^{\infty}\frac{(-1)^{n-1}}{n^8}$. The purpose of this paper is to find formulas of the Euler zeta function's values. In this paper, for $s{\in}\mathbb{N}$ we find the recurrence formula of ${\zeta}_E(2s)$ using the Fourier series. Also we find the recurrence formula of $\sum_{n=1}^{\infty}\frac{(-1)^{n-1}}{(2_{n-1})^{2s-1}}$, where $s{\geq}2({\in}\mathbb{N})$.

• Journal of the Korean Chemical Society
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• v.59 no.5
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• pp.373-378
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• 2015

The solvolysis rate constants of di-n-butyl phosphorochloridate ((CH₃CH₂CH₂CH₂O)₂POCI, 1) in 28 different solvents are well correlated with the extended Grunwald-Winstein equation, using the N_T solvent nucleophilicity scale and Y_Cl solvent ionizing scale, with the sensitivities values of 1.40 and 0.42 for l and m, respectively. These l and m values can be considered to support an S_N2 reaction pathway. This interpretation is further supported by the activation parameters, i.e., relatively small positive ΔH^≠ (8.0 to 15.9 kcal·mol⁻¹ ) values and large negative ΔS^≠ (−25.8 to −53.1 cal·mol⁻¹ ·K⁻¹ ) values, the Kivinen’s n values (0.9~1.7), and the solvent kinetic isotope effect (1.62).

• Journal of the Korean Institute of Gas
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• v.22 no.2
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• pp.52-58
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• 2018

The flash point is one of the most important properties to characterize fire and explosion hazard of flammable liquid mixture. In this paper, the flash points of ternary liquid mixture, n-nonane+n-decane+n-tridecane system, were measured using Seta flash closed cup tester. The measured values were compared with the calculated values using Raoult's law and multiple regression analysis. The absolute average errors(AAE) of the results calculated by Raoult's law is $0.6^{\circ}C$. The absolute average errors of the results calculated by multiple regression analysis is $0.4^{\circ}C$. As can be seen from AAE, the calculated values based on multiple regresstion analysis were found to be better than those based on Raoult's law.