• Clean Technology
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• v.17 no.4
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• pp.395-405
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• 2011

To develop the technology for cultivation of high-density seaweed, sea tangle was cultured from varying depths(0.5 m, 3 m) of seawater at Gijang and Wando area. Proximate composition, component sugar, total amino acid, fatty acid composition, and element composition of different parts of sea tangle (Saccharina japonica) have been examined. Significant differences were found in the amount of crude protein and ash content in lower, middle, and upper parts of algal blades. The upper parts of the sea tangle was rich in crude protein, while lower parts was rich in crude ash. Crude lipid content was higher in the middle parts than those of the other parts. The component sugars were not significantly different from all parts of algal blades. The highest content of most of the amino acids were found in the upper parts of the blades. The amount of saturated fatty acids concentrated mostly in lower parts of blades, while the content of polyunsaturated fatty acids concentrated in the upper parts. The highest N element contents were found in upper part of algal blades. However, the contents of those chemical component were not affected by the depths of seawater.

• Korean Journal of Food Science and Technology
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• v.28 no.6
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• pp.1171-1176
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• 1996

The changes in volatiles of the model system were analyzed by GC and GC-MS before and after retorting. The GC data were analyzed statistically by applying the analysis of variance, and 42 peaks were selected at 5% significance level. Multivariate statistical analysis was performed with these 42 peaks as independent variables. Through the stepwise discriminant analysis, 8 peaks, which corresponded to the compounds such as 2-heptanone, cis-3-hexenal, 2-pentyl-furan, 1-methyl-trans-1,2-cyclohexanediol, 2-hexanone, 3-octanone, trans, trans-nona-2,4-dienal and 1-octen-3-ol, were obtained in sequence to distinguish the samples with and without retorting. The principal component analysis of a set of 8 independent variables resulted in 3 principal components which accounted for 96.1% of the variance, while the first principal component (PC 1) explained 76.5% of the total variance. In addition, through the factor analysis of the principal components, the peaks 11, 20 and 21 could be grouped togather in accordance with the direction and the size while the peaks 9, 33 and 39 constituted the second group in the direction.

• The Journal of Bigdata
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• v.5 no.2
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• pp.135-143
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• 2020

This paper proposes a pre-processing method and a dimensional reduction method in the analysis of shopping carts where there are many correlations between variables when dividing the types of consumers in the agri-food consumer panel data. Cluster analysis is a widely used method for dividing observational objects into several clusters in multivariate data. However, cluster analysis through dimensional reduction may be more effective when several variables are related. In this paper, the food consumption data surveyed of 1,987 households was clustered using the K-means method, and 17 variables were re-selected to divide it into the clusters. Principal component analysis and factor analysis were compared as the solution for multicollinearity problems and as the way to reduce dimensions for clustering. In this study, both principal component analysis and factor analysis reduced the dataset into two dimensions. Although the principal component analysis divided the dataset into three clusters, it did not seem that the difference among the characteristics of the cluster appeared well. However, the characteristics of the clusters in the consumption pattern were well distinguished under the factor analysis method.

• Journal of the Korean Applied Science and Technology
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• v.8 no.1
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• pp.35-43
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• 1991

Dried seeds of Camellia japonica and Thea sinensis were investigated to determine the nature of their antioxidative activity. Activity was measured by the induction period in the coupled oxidation of a substrate lard and extracts or isolates to be tested. 70% methanol and dichloromethane extracts were found to be antioxidative abilities. Their unsaponifiables revealed weak antioxidative activity, although hexane extracts did not show antioxidative effect on lard. Column chromatography for dlchloromethane extracts gave 4 fractions(only 2 fractions were potent). HPLC was used in isolating potent antioxidative components from the column fractions and the precolumn-passed methanol extracts. They were separated into 7 and 8 components, respectively. The column fractions obtained from both seeds comprised trans-p-coumaric acid. trans-p-ferulic acid and an unknown component with minor components such as chlorogenic acid and catechin. On the other hand, the most prominent components in the methanol extracts were an unidentified component. trans-pcoumaric acid, trans-p-ferulic acid, catechin and chlorogenic acid. The unknown compound isolated from the column fractions and methanol extracts was identified as epicatechin by $^1H-and\;^{13}C-NMR$. The antioxidative activities of these components were epicatechin > catechin > chlorogenic acid > trans-p-ferulic acid > trans-p-coumaric acid.

• Korean Journal of Food Science and Technology
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• v.37 no.3
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• pp.431-437
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• 2005

Overall experiments were planned by central composite design, and results were analyzed by response surface methodology (RSM) to determine effects of three independent variables, temperature ($X_{1}$), extraction time ($X_{3}$), and pressure ($X_{3}$), on yield of sesame oil extract (Y). Regression equation model optimized by response surface analysis was: Y (sesame oil) = $-3.89+0.07X_{1}+0.03X_{2}+0.0006X_{3}-0.0007X_{1}^{2}-0.0002X_{2}X_{1}-0.00008X_{2}^{2}+0.000004X_{3}X_{1}+0.0000009X_{3}X_{2}-0.00000009X_{3}^{2}$. According to RSM analysis, optimum extracting conditions of temperature, time, and pressure were $45.89^{\circ}C$, 131.89 min, and 34228.41 kPa, respectively, and statistical maximum yield of sesame oil was 96.27%. Fatty acid composition of sesame oil showed sesame oil extracted by Supereritical Fluid $CO_{2}$ contained lower levels of palmitic, stcaric, and oleic acids and higher levels or palmitoleic and linoleic acids than commercial sesame oil. Commercial and extracted sesame oils were analyzed by electronic nose composed of 12 different metal oxide sensors. Obtained data were interpreted by statistical method of MANOVA. Sensitivities of sensors from electronic nose were analysed by principal component analysis. Proportion of first principal component was 99.92%. All sesame oils showed different odors (p < 0.05).

• Korean Journal of Food Science and Technology
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• v.34 no.1
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• pp.136-139
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• 2002

The discrimination of the agricultural origin, especially locally produced of imported products such as black rices was investigated by using electronic nose. Volatile components from these products were discriminated by six metal oxide sensors without pretreatment. Pattern recognition was carried out. Principal component analysis showed the differences between imported and locally produced ones. The number of 57 from 69 species of black rices were recognized as locally produced one (83.33%) and 11 from 13 species one (imported black rices) was correctly discriminated. Unknown habitat of black rice could be identified by artificial neural network system whether the imported or not. Also commercial electronic nose (E-nose 5000) that was combined with metal oxide sensor and conducting polymer sensor showed 92.75% (locally produced black rices) and 92.31% (imported one) of discrimination.

• The Korean Journal of Food And Nutrition
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• v.29 no.5
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• pp.818-827
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• 2016

This study was conducted to develop and validate the Sugar Intake Reduction Test (SIRT) for young children, and included eating behaviors, attitude, and nutritional knowledge about sugars. A draft version of the SIRT was developed after literature review. The final draft of the SIRT was established after two pilot tests of 5 year old children and an expert group's review, and is comprised of a one on one test between an investigator and a child using picture tools. It contained of 20 questions which included 3 components: eating behaviors (5 items), preference for sugar sweetened food (10 items), and nutritional knowledge about sugars (5 items). The final SIRT was conducted on 181 children 5 (n=100) to 6 (n=81) years old, to examine its item and test adequacies. The passing rate of most items significantly increased with increasing age, and most of the item discrimination also differed significantly between the below and upper score groups. The content validity was given a high score by professionals (mean score 3.9 out of 4). Reliability of all the items in the SIRT was high (Cronbach's ${\alpha}=0.82$). Moreover, the total component and the sub-component scores of the SIRT correlated significantly. Our results indicate that the SIRT is a valid tool to measure sugar intake reduction in young children aged 5~6 years.

• Journal of Community Nutrition
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• v.6 no.3
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• pp.121-124
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• 2004

Objective : The paper aims to provide predictive coefficients via BIA for the assessment of body composition in children and adolescents to serve clinical as well as research purposes. Methods : Body composition via dual-energy x­ray absorptiometry (DXA) and bioelectric impedance as well as other anthropometric index were derived from meaurements on 1026 children and adolescents aged from 6 to 18 years from Beijing City. The best subset regression and principle component analysis were adopted to build the predictive coefficients with the logarithm of body composition via DXA as response variable. Results : Condition index ${\varphi}$ of fat-free mass multiple linear regression achieves 113.49 and 91.18 for males and females respectively, demonstrating severe multicollinearity among anthropometric indexes in children and adolescents. BIA predictive coefficients base on the best subset regression and principle component analysis boast a content predictive value for lean mass ($r^2$ = 0.9697 and 0.9664 for boys and girls respectively, p < 0.0001) and for Fat$\%$ ($r^2$ = 0.7705 and 0.6959 for boys and girls respectively, p < 0.0001). Conclusions : BIA method is applicable for the prediction of body composition for children and adolescents.

• Journal of the Korean Society of Food Science and Nutrition
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• v.13 no.3
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• pp.238-246
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• 1984

The objective of this experiment was to improve the quality of Kochujang and to shorten the aging time of it by using the Kojis of various Aspergillus strains. During the autumn season Kochujangs were mashed with Koji of Aspergillus oryzae, Aspergillus kawachii and Aspergillus shirousamii. Chemical composition of the Kochujang was determined during the aging period. There was no significant difference in quality and component between the Kochujang made with Aspergillus oryzae cultured Koji and Aspergillus kawachii cultured Koji. But the Kochujang with Aspergillus shirousamii cultured Koji was better in flavor, color and amino nitrogen contents than the Kochujang with Aspergillus oryzae cultured Koji, though two Kochuangs were almost the same in general components. The significant difference between the two tested Kochuangs was observed in pH, and the pH of the Kochujong with Aspergillus shirousamii cultured Koji was extremely low during the aging period. Thus it is presumed that Aspergillus shirousamii Koji can be used for the improvement of quality of Kochujang if a suitable method is applied to prevent pH from lowering.

• Applied Biological Chemistry
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• v.43 no.3
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• pp.196-201
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• 2000

This study was conducted to investigate various flavor components of barley meju during fermentation. The change of PH was $5.2{\sim}5.6$. L-value and b-value gradually decreased. a-value gradually increased until fifth day and then decreased. Among 75 flavor compounds identified in barley meju, 10 aldehydes and 10 ketones were most in number followed by 9 acids, 9 phenols, 7 hydrocarbons, 7 alcohols and 6 esters. The contents of ethyl acetate $(67.8{\sim}89.1%)$ was more than those of any ether component followed by hexadecanoic acid $(1.21{\sim}12.00%)$ and tetramethylpyrazine $(0.06{\sim}12.30%$).