• The Korean Journal of Food And Nutrition
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• v.31 no.4
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• pp.565-570
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• 2018

The objective of this study is to analyze the characteristics of persons with a high sugar-intake ratio (%E) and factors affecting sugar-intake ratio with the Korea National Health and Nutrition Examination Survey ($6^{th}$ KNHANES). The sugar-intake ratio is the calories of sugar from processed food divided by the daily total intake of calories. In this research we used two statistical methods, the cluster analysis and one-way analysis of variance (ANOVA). Cluster analysis was used to classify groups of sugar-intake ratios. For analysis of factors affecting the sugar-intake ratio, we applied the ANOVA. Korean have about a 3.89% sugar-intake ratio from processed food per day. The demographic characteristics of people with higher sugar-intake ratios were found to be more women than men, younger men with less education, more people in the household, smaller height, weight waistline and body mass index (BMI). Also office worker, lower drinking frequency, not getting a hypertension, diabetes, hyperlipidemia, lower breakfast and dinnner frequency, not experiencing nutritional education, and not using nutritional labeling. For reducing intake sugar in what are called health-hazardable nutrients in the food sanitation act, it is necessary to educate the people with high sugar ratio who were identified in this study.

• Korean Journal of Community Nutrition
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• v.22 no.1
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• pp.1-12
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• 2017

Objectives: The present study aimed to investigate high school students' sugar intake behaviors, the status of consuming sugary processed foods, the awareness of sugar, and the experience and interest in sugar-related education based on the level of sugar-related nutrition knowledge. Methods: In this study, five high schools were selected in Seoul, Korea, and a survey was conducted in 400 students on the level of sugar-related nutrition knowledge and sugar intake status. A total of 349 questionnaires were used for the final analysis. For statistical analysis, descriptive statistics was performed; a t-test, ${\chi}^2$ test, and Friedman test were used for comparative analysis. Results: The study results showed a positive association between the knowledge level of sugar and the appropriate sugar intake behavior and sugary food choices. The group with more nutrition knowledge on sugar was found to have good eating habits and to eat less sugary food. The main sources of sugar were beverages, confectionary, and bakery goods in the corresponding order, irrespective of the level of nutrition knowledge related to sugar. A significant difference was found in the groups' awareness of the sugar content of the drinks with 89.4% for the higher-knowledge group, and only 81.5% for the lower-knowledge group (p < 0.05). Results also showed that 43.9% of the higher-knowledge group and 36.4% of the lower knowledge group were interested in participating in education on sugar. Conclusions: This study result indicated the need to help adolescents to avoid excessive sugar intake from only certain favorite foods. Therefore, it is necessary to seek a systematic foundation for participatory education in order for them to maintain a low sugar intake in daily life and lead healthy eating habits by increasing their level of sugar-related information and knowledge.

• Journal of Biosystems Engineering
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• v.20 no.3
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• pp.299-306
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• 1995

This study was carried to find out relationships between water content and sugar content in fruit and vegetables and present the possibility of estimating sugar content by measuring water content. Water content and sugar content of melons, peaches, and apples were measured. Both F-test and linear regression analysis on the experimental data were done. The regression models were developed and validated. The results were summarized as follow : 1. According to the F-test, the coefficients of determinant were greater than 0.8, and significance probability was less than 0.0001 in each materials. 2. According to the regression analysis of melons, peaches, and apples, the standard errors of calibration(SEC) were 0.67 brix%, 0.82 brix%, and 0.72 brix%, respectively. 3. The standard errors of prediction(SEP) were 0.76 brix%, 1.03 brix%, and 0.77 brix%, respectively. 4. The relationship between sugar content and water content in apple was successfully applied to measure the sugar content from hydrogen NMR spectrum of apple samples.

• Proceedings of the Korean Society of Crop Science Conference
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• 2007.04a
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• pp.65-73
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• 2007

The objective of this study is to understand how regulatory mechanisms respond to sugar status for more efficient carbon utilization and source-sink regulation in plants. So, we need to identify and characterize many components of sugar-response pathways for a better understanding of sugar responses. For this end, genes responding change of sugar status were screened using Arabidpsis cDNA arrays, and confirmed thirty-six genes to be regulated by sucrose supply in detached leaves by RNA blot analysis. Eleven of them encoding proteins for amino acid metabolism and carbohydrate metabolism were repressed by sugars. The remaining genes induced by sugar supply were for protein synthesis including ribosomal proteins and elongation factors. Among them, I focused on three hydrolase genes encoding putative $\beta$-galactosidase, $\beta$-xylosidase, and $\beta$-glucosidase that were transcriptionally induced in sugar starvation. Homology search indicated that these enzymes were involved in hydrolysis of cell wall polysaccharides. In addition to my results, recent transcriptome analysis suggested multiple genes for cell wall degradation were induced by sugar starvation. Thus, I hypothesized that enzyme for cell wall degradation were synthesized and secreted to hydrolyze cell wall polysaccharides producing carbon source under sugar-starved conditions. In fact, the enzymatic activities of these three enzymes increased in culture medium of Arabidopsis suspension cells under sugar starvation. The $\beta$-galactosidase encoded by At5g56870 was identified as a secretory protein in culture medium of suspension cells by mass spectrometry analysis. This protein was specifically detected under sugar-starved condition with a specific antibody. Induction of these genes was repressed in suspension cells grown with galactose, xylose and glucose as well as with sucrose. In planta, expression of the genes and protein accumulation were detected when photosynthesis was inhibited. Glycosyl hydrolase activity against galactan also increased during sugar starvation. Further, contents of cell wall polysaccharides especially pectin and hemicellulose were markedly decreased associating with sugar starvation in detached leaves. The amount of monosaccharide in pectin and hemicellulose in detached leaves decreased in response to sugar starvation. These results supported my idea that cell wall has one of function to supply carbon source in addition to determination of cell shape and physical support of plant bodies.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1258-1258
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• 2001

Estimation of sugar and reducing sugar content in molasses is very important task in sugar refineries. Conventional methods of determination of sugar content in molasses samples are highly time consuming and employ hazardous chemicals. Due to the physical properties of molasses, probability of error in conventional analytical techniques is high. These methods have proven to be inefficient for a process control in any sugar industry. Hence development of a rapid, inexpensive, physical and also accurate method for sugar determination in molasses will be highly useful. Near Infrared spectroscopy is being widely used worldwide as an analytical technique in food industry. The technique offers the advantage of being non-destructive and rapid. The present paper highlights the potential of near infrared reflectance spectroscopy as a rapid and automated analytical technique for determination of sugar and reducing sugar content in molasses. A number of molasses samples were collected during and after the sugar season from Havana Sugar Industry, Havana. The samples were chosen so as to obtain a wide range of concentration of sugar and reducing sugars. This was done in order to achieve a good calibration curve with widely spread data points. These samples were scanned in the region of 1100 - 2500 nm in diffuse reflectance mode. An indigenous ELICO NIR spectrophotometer, modified according to the requirements of sugar industry was used for this purpose. Each sample was also analyzed simultaneously by standard chemical methods. Chemical values were taken as reference for near infrared analysis. In order to obtain the most accurate calibration for the set of samples, various mathematical treatments were employed. Partial Least Square method was found to be most suitable for the analysis. A comparison is made between the actual values (chemical values) and the predicted values (NIR values). The actual values agree very well with the predicted values showing the accuracy of the technique. The validity of the technique is checked by predicting the concentration of sugar in unknown molasses samples using the calibration curve. The present investigation assesses the feasibility of the technique for on-line monitoring of sugars present in molasses in sugar industries.

• The Korean Journal of Food And Nutrition
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• v.28 no.4
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• pp.658-665
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• 2015

This study was conducted to provide desirable way on the eating of sugar foods, specifically the differences between dietary attitude, dietary behaviors and intake frequency. Data was collected from 279 middle students in the Incheon region through a self-administered questionnaire. According to the results of the reliability and factor analysis, the dietary attitude, dietary behaviors and intake frequency was 3.52, 2.89 and 2.51, with a Cronbach alpha coefficient of 0.867, 0.789, 0.940 and KMO of 0.899. Factor analysis extracted three components of the sugar preference, which we named dietary attitude (factor 1), dietary behaviors (factor 2), and intake frequency (factor 3). The dietary attitude and dietary behaviors showed a significant difference between sugar preference and non-preference (p < 0.05). Also, intake frequency of sugar food showed a significant differences in chocolate, chocolate products, and ice cream between sugar preference and non-preference (p < 0.05), whereas no significant differences were found in cake, bread kinds, juice, sweetness milk, yogurt between sugar preference and non-preference (p > 0.05). A significant positive result of intake frequency of sugar food (p < 0.05) was shown for the dietary attitude, BMI, weight, and monthly pocket money. Based on this study, the reduction of sugar intake is needed especially for middle students.

• Korean Journal of Veterinary Service
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• v.23 no.2
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• pp.137-142
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• 2000

In order to develop a good separation and simultaneous analysis of different sugar in an artificial mixed sugar solution, we analyzed 10 sugar components in an artificial mixed sugar solution composed of fructose, glucose, mannitol, sucrose, maltose, lactose, xylose, xylitol erythritol, and trehalose with using HPLC-ELSD or HPLC-RI. Separation and quantification by HPLC-ELSD was superior to those by HPLC-RI and detection sensitivity by HPLC-ELSD was higher then that by HPLC-RI as micorgram($\mu\textrm{g}$) level. 1. The units of minimal detectable limits were showed $\mu\textrm{g}$/$m\ell$ and ng/$m\ell$ by the HPLC-RI and HPLC-ELSD, respectively. 2. The condition of ELSD was drift tube temperature $82^{\circ}C$, $N_2$ gas flow rate 2.10 SLPM, and colum oven temperature $30^{\circ}C$, respectively. Isolation and recovery rates of single sugar from the multiple sugar solution was higher at the condition (time: flow rate: D.W.:ACN MeOH, min : $m\ell$/min:v:v:v) of linear gradient elution of mobile phase as 0 : 1.00 : 15 : 85 : 0.1 : 1.00 : 6 : 90 : 4, 17 : 1.00 : 10 : 70 : 20, 28 : 1.00 : 15 : 85 : 0 an 35 : 1.00 : 15 : 85 : 0, in order.

• Journal of Plant Biotechnology
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• v.44 no.2
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• pp.178-190
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• 2017

$Fragaria{\times}ananassa$, a strawberry evolved from hybridization between F. virginiana and F. chiloensis, is a globally cultivated and consumed fruit crop valued for its flavor and nutritional value. Flavor and quality of fruits are determined by factors such as sugars and organic acids present during fruit development. These characteristics are highly subjective in different genotypes and affected by various environmental factors. In this study, we analyzed contents of major sugar compounds including fructose, glucose and sucrose by HPLC analysis in four cultivars namely, Maehyang, Seolhyang, Festival and Sweet Charlie. We identified 55 genes related to fructose, glucose, sucrose and soluble sugar regulation whose expression were analyzed in four cultivars at three developmental stages of the fruit namely, green, white and ripened stages. Expression of these genes across these progressive fruit developmental stages varied among cultivars. Among the 55 genes, genes FaFru3, FaSuc11 and FaGlu8 revealed differential patterns of expression along developmental stages of the fruit in high and low sugar-containing genotypes, respectively and may be putative candidates for sugar content in strawberries. Expression of genes are discussed with regard to corresponding sugar content in these genotypes. Further analysis and application of these genes may be valuable in developing high sugar containing cultivars via marker-assisted breeding.

• Nutrition Research and Practice
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• v.10 no.4
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• pp.464-470
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• 2016

BACKGROUND/OBJECTIVES: This research analyzes the effects of the food choices of industrial workers according to their sugar intake pattern on their job satisfaction through the construction of a model on the relationship between sugar intake pattern and job satisfaction. SUBJECTS/METHODS: Surveys were collected from May to July 2015. A statistical analysis of the 775 surveys from Kyungsangnam-do was conducted using SPSS13.0 for Windows and SEM was performed using the AMOS 5.0 statistics package. RESULTS: The reliability of the data was confirmed by an exploratory factor analysis through a Cronbach's alpha coefficient, and the measurement model was proven to be appropriate by a confirmatory factor analysis in conjunction with AMOS. The results of factor analysis on food choice, sugar intake pattern and job satisfaction were categorized into five categories. The reliability of these findings was supported by a Cronbach's alpha coefficient of 0.6 and higher for all factors except confection (0.516) and dairy products (0.570). The multicollinearity results did not indicate a problem between the variables since the highest correlation coefficient was 0.494 (P < 0.01). In an attempt to study the sugar intake pattern in accordance with the food choices and job satisfaction of industrial workers, a structural equation model was constructed and analyzed. CONCLUSIONS: All tests confirmed that the model satisfied the recommended levels for the goodness of fit index, and thus, the overall research model was proven to be appropriate.

• Journal of Nutrition and Health
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• v.28 no.7
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• pp.644-652
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• 1995

The purpose of this study was to examine the relationship between sugar intake and behavioral problems in Korean school children. The subjects were 280 school children lived in Soung Nam city. Nutrient and sugar intakes were measured by 24-hour recall method and food frequency method through personal interview. Hyperactivity scores of children were measured by teacher and mother using conners Rating Scale-Revised. The average daily total sugar intake for the total sample was 63.0$\pm$37.4g(Range : 10g-220g). The result of stepwise multiple regression analysis using the sugar intake as dependent variable showed that energy, participation of school lunch program, Vit B2, protein, education of fathers, niacin, calcium are significant explanatory variables, explaining 44.8% of variation. As a result of the Conners scale test by teacher, 4% of children were Attention Deficit Hyperactivity Disorder(ADHD) children. A result of the Conners scale test by mother, 8% of children were ADHD children. The result of simple regression analysis had not shown significant relationship between sugar intake and ADHD scores. But the result of the Conners test by teacher, sugar intake(69.9$\pm$37.1g) of ADHD children were significantly higher than sugar intake(62.9$\pm$37.7g) of normal children(p<0.01).