• Korean Journal of Community Nutrition
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• v.17 no.4
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• pp.365-375
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• 2012

The purpose of this study was to develop a risk communication material on artificial food color additives for elementary school students. The development was based on a previous study on the perception and information needs of elementary school students on artificial food colors including that the students usually were interested in artificial food colors, but didn't know about those well, and they wanted to get information on the safety of their intake, function and necessity of food color additives. Based on the above results, a comic book on artificial food colors was developed as a risk communication material for the elementary school students by brainstorming and consultation with experts. The book was titled as 'Variegated artificial food colors! Understanding and Eating'. It contained basic information on food additives focused on artificial food colors including definition, function, calculation of ADI, usage of artificial food colors, quizzes and useful web sites, etc. The results of field evaluation for the developed material by 101 elementary school students were very positive in getting the correct information, understanding artificial food colors and having proper attitude for healthy dietary life. Therefore, the developed material could be used to help elementary school students have proper perception on artificial food colors and facilitate the risk communication on food additives.

• Science of Emotion and Sensibility
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• v.4 no.2
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• pp.25-32
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• 2001

The flavor of food is not decided by only the sense of taste. Flavor is a complex ,ionization involving taste and aroma. It is also affected by the appearance, color and shape and touch or texture of food. Although our all senses are crucial factors in recognizing the sense of food, the sense of vision, especially colors, is a more crucial aspect. Because when consumers contact food, first of all, they see and recognize the color of the food and associate the flavor of the food as the colors of the food. This study focuses on the ways for applying colors to food so that consumers can associate the flavor of food efficiently. This study conducts a case study using web survey about the association of flavor by chocolate's colors. The result of the case study shows crucial factors influencing the association of food and color palettes according to sorts and degrees of chocolate's taste.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.88-103
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• 2011

The goal of this study is to improve food coordination, which is one of the factors of menu quality, by surveying satisfaction of students who visit a university cafeteria. Using Amos 7.0 to graphically verify the structure of the overall model, these following results were obtained. First, satisfaction with Interior facilities was positively enhanced by food shapes, food colors, tableware sizes and tableware colors. The more people liked these factors, the higher their satisfaction was. Second, satisfaction with Interior decoration was judged by such factors as food sizes, food colors and tableware colors. Third, satisfaction with Interior lightings was affirmatively affected by the colors of food and tableware. Fourth, Interior facilities, decoration and lightings all have positive influence on satisfaction with food. Higher satisfaction on these factors guarantee higher satisfaction with food. Among the standardized coefficient, Interior decoration(0.460), Interior lighting(0.310), Interior facilities(0.183), Interior decoration appears to be the most important factor for satisfaction with food.

• Korean Journal of Food Science and Technology
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• v.40 no.3
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• pp.243-250
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• 2008

In Korean, nine tar colors are permitted in foods. This study assessed these compounds in the favorite food items of children found near elementary schools. A total of 439 items categorized under six food types were included in the analysis. The most frequently detected tar colors were tartrazine (Y4), Brilliant Blue FCF (Y5), Allura Red, and Sunset Yellow FCF, respectively. One or a mixture of two tar colors were commonly found in products such as gums, ice bars, soft drinks, and cereals. However, most often, combinations of two or three tar colors were detected. The levels of tar colors in candies, chocolates, gums, ice bars, cereals, and soft drinks were 0.11-1169.58 mg/kg, 0.73-468.02 mg/kg, 0.10-602.46 mg/kg, 0.25-162.32 mg/kg, 0.11-753.68 mg/kg, and 0.21-69.45 mg/kg, respectively. Tar color levels were higher in chocolates and gums than in soft drinks and ice bars. And Y4 and Y5 were detected at the highest levels. For ages 7-12, the total estimated daily intake (${\sum}EDI$) of each tar color ranged from 0.004 to 1.017 mg/day/person. These values were 0.02-5.98% of the FAO/WHO's acceptable daily intake (ADI).

• Journal of Food Hygiene and Safety
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• v.20 no.2
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• pp.73-76
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• 2005

Center for Food Standard Evaluation, Korea Food and Drug AdministrationThis study was performed to compare analytical methods of nine synthetic food colors and six food color lakes in Korea, Japan, Joint FAO/WHO Expert Committee of Food Additives (JECFA), and USA. The experimental protocol of this study consists of three parts: titration method with titanium chloride, gravimetric and spectrophotometric method. To measure the total contents of food colors, Korea and Japan used titration method with titanium chloride, USA used the average value of titration method with titanium chloride equipped with Kipp generator and spectrophotometric method. Also, JECFA used titration method with titanium chloride equipped with KiPP generator. However, All the low organizations used gravimetric method to measure the total content of coloring matter on Food Red No.3. Although all organizations use various methods for analysis of coloring matters, total contents of coloring matter on food colors tested fell into the standard showing $85.08-96.40\%$ in synthetic food colors and $10.00-36.86\%$ in food color lakes.

• Analytical Science and Technology
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• v.13 no.3
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• pp.378-384
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• 2000

This Study has been carried out to develop a method of analysis of 8 permitted synthetic food colors [including Brilliant Blue FCF(B1), Indigocarmine (B2), Fast green FCF(G3), Amaranth (R2), Erythrosine (R3), Allura red (R40), Tartrazine (Y4), Sunset Yellow FCF (Y5)] in Korean foods by HPLC. After adjusting to 0.5% HCl, each of the food colors extracted was eluted by Sep-pak $C_{18}$ cartridge. Eluates were then determined by high performance liquid chromatograph with a UV-VIS detector. Recoveries of the 8 synthetic food colors were found to be 81.2-98.0% for soft drinks, 80.6-96.1% for candy, 79.8-96.3% for chewing gum, 76.5-91.7% for cereals, 79.9-93.8% for ice cream and 78.6-94.7% for jelly, respectively. The detection limits were $0.05-0.1{\mu}g/g$.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.1
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• pp.75-80
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• 2005

This study was carried out to measure the amount of daily intake on three synthetic food red colors (Amaranth: R2, Erythrosine: R3, Allura Red: R40) in foods by Korean. Analysis of three synthetic food red colors was conducted by HPLC with the foods including bread, confection, candy, alcoholic beverage, soft drink, ice cream, chocolate, and chewing gum. Recovery rates from the known concentrations of three standard food red colors which were spiked into foods were ranged from 85.1 to 100.4 (%) for each foods. Total Estimated Daily Intake (∑EDI) was from 0 to 1.632 mg/kg bw/day for each food item and from 0.512 to 7.281 mg/person/day for ages (1∼over 65 years old). The data of average food intake for each food item per person per day were obtained from the report of Korean National Nutrition Survey conducted by the Korea Ministry of Health and Welfare in 2001. Total EDI of each red colors per person per day were showed as follows; 0.742 mg/kg bw/day for R2, 0.391 mg/kg bw/day for R3 and 2.018 mg/kg bw/day for R40 as total amount respectively, and the ranges of these values were 0.5∼7.1% of FAO/WHO's Acceptable Daily Intake (ADI) values. Therefore, the amount of daily intake of three synthetic food red colors in Korea was regarded as safe.

• Journal of Food Hygiene and Safety
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• v.26 no.1
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• pp.57-63
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• 2011

This survey was conducted to develop an appropriate management for safety of children snacks. In this study, monitorings of food additives such as nine kinds of tar colors (tartrazine, sunset yellow FCF, brilliant blue FCF, indigo carmine, new coccine, amaranth, erythrosine, allura red and fast green FCF) which are sold at stationary store around the school, were performed. Eighty two samples (3 snacks, 71 candies, 4 chocolates and 4 beverages) were analyzed for tar colors. Results of risk assessment for tar colors were expressed as EDI (Estimated Daily Intake) comparing with ADI (Acceptable Daily Intake). The ratio of high risk group for tar color intake (95th) were 0-3.56%. The consumptions of tar colors from domestic and imported products for nine kinds of tar colors in candies were not significantly different. The results of this study indicated that each ED! of nine kinds of tar colors sold at stationary store around the school is much lower than each ADI in general. Consequently, the children snacks are thought to be safe for consumption.

• Korean journal of food and cookery science
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• v.8 no.4
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• pp.387-396
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• 1992

This study was conducted to examine the favorable taste of food color for one month of November 1991 With 200 college students consisting 100 male and 100 female students. The color to examine the favorable food was based on Munsell color standard of ten colors such as F. Birren seven colors (red, orange, yellow, yellowish green, green, blue and violet), brown, pink and black. And then, the data of this study was analysed by using frequency(%), mean values, standard deviation, t-test, Chi-square, Spearman correction with SAS Package on the basis of 100% collection and reliable coefficient alpha= .775. The result of this study is summarized as follows. 1. It was shown that the male college students (59%) showed remarkable interest in the food color higher than that of female college students (92%), and that 85% of male students and 97% of female students considered that the food color has an effect on appetite. In addition, the food name having an effect of the food color on appetite appeared in such order as carrot (13.0%), apple (10.9%), spinach (7.0%), cucumber (6.0%) and red pepper (5.6%). The important factor in choosing the favorable food was the taste for both male and female college students, while the male and female students considered the food color as the 4th, respectively, and the 3rd important factor in choosing the favorable food. 2. The favorable food color appeared in order such as orange, red, yellow, yellowish green, green, blue, violet, pink, black and brown colors for the male college students, and in order such as red, orange, yellow, green, yellowish green, brown, violet, black, pink and blue. Also, there was difference between the male and female college students in such colors as brown, yellowish green, blue and pink. It was also shown that there was no relation between the male and female college students in examining the order of favorable food colors and general colors when selecting null hypothesis (ASE: .405). The food name associated with the color was apple for red color, orange for orange color, coffee for brown color, banana for yellow color, lettuce for yellowish green color, spinach for green color, mackerel for blue color, eggplant for violet color, sausage for pink color and bean for black color 3. The favorable color combination of both male and female college students showed red with green, orange with yellow, yellow with green, green with yellow, pink with violet and black with black. In addition, the favorable combination of the male college students indicated brown with black, yellowish green with orange, blue with red and violet with yellow while the female college students did brown with yellow, yellowish green with green, blue with yellow and violet with pink. The favorable combination color showing difference between the male and female college students included orange, brown, violet, pink and black colors. 4. The relation between the food color and terms of favorable taste showed that “light and mild color” is yellow, that “untasty color” is black, that “sourish and puckery color” is orange, that “bitter color” is violet, that “hot color” is red, and that “fresh color” is green which were answered by both male and female college students. However, the male and female college students considered yellow, respectively, and orange as “tasty color”, and black and yellow, respectively, as “sweet color”. Then, the taste term showing difference between male and female college students included “light”, “mild”, “sourish”, “tasty” and “sweet”. Based on the above result of this study, it is apparent that there is a close relation between the food color and appetite while being difference between the general color and taste. In addition to this fact, there is also some differences between male and female college students in the taste of food color.

• Korean Journal of Food Science and Technology
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• v.33 no.1
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• pp.33-39
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• 2001

To develop a method for separation process using Sep-pak $C_18$, simultaneous and systematic analysis of 8 permitted and 11 non-permitted synthetic food colors in Korea, optimization of analysis conditions for reverse phase ion-pair high performance liquid chromatography was carried out. For the best result of Sep-pak $C_18$ separation the pH of color standard mixture solution was $5{\sim}6$ and 0.1% HCl-methanol solution were set as eluent. The colors eluated from Sep-pak $C_18$ cartridge were determined and confirmed by high performance liquid chromatography with a photodiode array detector at 420 nm for yellow colors type, at 520 nm for red colors type, at 600 nm for blue and green colors type and at 254 nm for mixed colors. Conditions for HPLC analysis were as follows: column, Symmetry $C_18$ (5 m, 3.9 mm $i.d.{\times}150\;mm$); mobile phase, 0.025 M ammonium acetate (containing 0.01 M tetrabutylammonium bromide) : acetonitrile : methanol (65 : 25 : 10) and 0.025 M ammonium acetate(containing 0.01 M tetrabutylammonium bromide) : acetonitrile : methanol (40 : 50 : 10); flow rate, 1 mL/min. It takes 35 minutes for simultaneaus analysis and 18 minutes for systematic analysis. The detection limits range of each colors were $0.01{\sim}0.05\;{\mu}g/g$.