• Title/Summary/Keyword: Korean food classification

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Study on Culinary Educational Usefulness of Korean Style Jang-based Seasoning, Spices and Herb Mix Classification (한식 조리교육을 위한 한식양념장 분류체계의 타당성에 관한 연구)

  • Lee, Dug-Young;Kim, Tae-Hyun;Kim, Tae-Hee
    • Journal of the Korean Society of Food Culture
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    • v.29 no.2
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    • pp.178-186
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    • 2014
  • This study sought to prove the validity of Hansik Yangnyomjang classification Korean culinary education. survey was conducted among Korean Cuisine professionals, culinary instructors, culinary professionals and potential students from various backgrounds. ata were collected by self-administered questionnaires and analyzed by reliability analysis, frequency analysis and t-test. any differences in terms of the validity of Hansik Yangnyomjang classification between groups based on their majors, teaching experiences, and knowledge of sauce classification. First, the result showed that fermented Jang is core element Korean cuisine. Second, Hansik Yangnyomjang classification needs to be organized around Balhyojang. Third, Hansik Yangnyomjang classification for beginners and foreigners who want to learn Korean Cuisine relatively easily. Finally, the term 'sauce' is not suitable for replacing Yangnyomjang.

Development of Korean NOVA Food Classification and Estimation of Ultra-Processed Food Intake Among Adults: Using 2018 Korea National Health and Nutrition Examination Survey (한국형 NOVA 식품분류체계의 개발 및 한국 성인의 초가공식품 섭취량 추정: 2018년 국민건강영양조사 자료를 활용하여)

  • Hae Jin, Park;Sohyun, Park;Jee Young, Kim
    • Korean Journal of Community Nutrition
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    • v.27 no.6
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    • pp.455-467
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    • 2022
  • Objectives: In this study, we suggest a Korean NOVA food classification that can be applied to food consumption among Korean. Based on this suggestion, the nutritional intake of Korean adults from ultra-processed foods (UPFs) was estimated. Methods: Korean commercial food was categorized based on the NOVA food classification criteria through the Korea Food Code and expert meetings. Then, the nutrient intake status of 6,991 participants in the 2018 National Health and Nutrition Examination Survey was analyzed according to the food processing level. Then, 4,152 adult participants (age 19-65) were divided into quartiles on the basis of their intake of UPFs, and the nutrient intakes from UPFs were compared. Results: Korean NOVA Food Classification defines with priority Group I (Unprocessed/ Minimally processed foods) and Group II (Processed culinary ingredients) foods based on the food cooking or consumption. Then, Group III (Processed foods) and Group IV (UPFs) are classified according to whether the characteristics of the raw materials used are maintained or whether the food was consumed before the 1970s. Our analysis results showed that most of the calories in the diet were consumed by Group I (52.7%), followed by Group IV (29.3%). After categorization of the adult participants into four groups according to their energy consumption from UPFs, we found that the highest consumption group (Q4) was younger and had higher percentage of men than women. The comparative analysis of the consumption of ultra-processed foods by Korean adults revealed that participants of a younger age and men consumed higher energy from UPFs than older participants and women, respectively (P < 0.01). Furthermore, the larger intake of UPFs was associated with an increasing trend for a higher intake of energy, sugar, saturated fat (P for trend < 0.001), total fat (P for trend = 0.021), and sodium (P for trend = 0.005), whereas the intake of carbohydrate, protein, and dietary fiber had a decreasing trend (P for trend < 0.001). Conclusions: With the current increase in the consumption of processed and ultra-processed foods, it is important to carefully consider not only nutrient intake but also the level of food processing.

Cowpea Starch Extraction Process using Microparticulation/Air classification Technology (미분쇄/공기분급을 이용한 동부전분의 추출)

  • Ku, Kyung-Hyung;Park, Dong-June
    • Korean Journal of Food Science and Technology
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    • v.30 no.1
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    • pp.118-124
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    • 1998
  • Dehulled cowpea was microparticulated and coarse fractions and fine fractions were collected by air classification at air classifying wheel speed (ACWS) of 15,000 rpm, 12,000 rpm and 9,000 rpm, respectively. Protein content in fine fraction after air classification was 2 times higher than that of microparticulated cowpea, emulsion capacity was about 3 times than coarse fraction. The coarse fraction of the highest viscosity on the gelatinization properties were detected by amylograph, was C-3 (9,000 rpm coarse)fraction. The majority of microparticulated cowpea particles were oval shaped starch and the rest of them were indeterminate minute particles which had some sharp corners. As an application test, microparticulated cowpea and coarse fraction (C-3) were used for mook (Korea traditional starch jelly) preparation and the wet milled cowpea starch was compared as a control. Some impurities induced discoloring was detected by sensory evaluation but after washing, it made no difference in sensory scores between washed starch and the control cowpea mook. And also syneresis of washed cowpea was less than control. At the above result, it can be to recovery about 85% of cowpea starch using microparticulation/air classification technology.

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Classification and Nomenclature of Fruit Commodities in South Korea and Codex Alimentarius Commission (과일류의 명칭 및 분류: 국내와 코덱스 비교)

  • Lee, Mi-Gyung
    • Journal of Food Hygiene and Safety
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    • v.33 no.3
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    • pp.162-167
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    • 2018
  • The objective of this study was to find out a nomenclature and a code number for fruit commodities from the Codex Alimentarius Commission (Codex) corresponding with a commodity name used in South Korea. In addition, nomenclature or classification for commodity that needs an alteration or detailed examination domestically was determined. In this study, 'Food Code (Korean and English version)' and 'Pesticide MRLs in Food' from the Ministry of Food and Drug Safety and 'Codex Classification of Foods and Animal Feeds' were used. As results, regarding a nomenclature or classification used in South Korea, it appeared that alteration or further examination was needed for the following (English name of commodity, coming from an English version of Food Code). First, reconsiderations for classification of Chinese matrimony vine, fig, five-flavor magnolia vine, and pomegranate are needed as they are classified differently between Korea and Codex. Second, in any case of Korean or English language, nomenclature of commodity is different even within Korea or when it is compared with Codex. Such commodities are: Asian citron, Chinese bush cherry, Chinese matrimony vine, coconut, crimson glory vine, date palm, five-flavor magnolia vine, five-leaf chocolate vine, Japanese apricot, Japanese cornelian cherry, jujube, kiwifruit (golden kiwi), Korean black berry, Korean raspberry, kumquat, lychee, mandarin, persimmon, plum, quince, raspberry, and trifoliate orange. Third, reconsiderations for peach and raspberry nomenclatures are needed as it is currently unclear whether 'peach' includes nectarine and an English nomenclature, 'raspberry', is used in Korea for both various varieties (red, black) and one specific variety.

Metabolic Diseases Classification Models according to Food Consumption using Machine Learning (머신러닝을 활용한 식품소비에 따른 대사성 질환 분류 모델)

  • Hong, Jun Ho;Lee, Kyung Hee;Lee, Hye Rim;Cheong, Hwan Suk;Cho, Wan-Sup
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.354-360
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    • 2022
  • Metabolic disease is a disease with a prevalence of 26% in Korean, and has three of the five states of abdominal obesity, hypertension, hunger glycemic disorder, high neutral fat, and low HDL cholesterol at the same time. This paper links the consumer panel data of the Rural Development Agency(RDA) and the medical care data of the National Health Insurance Service(NHIS) to generate a classification model that can be divided into a metabolic disease group and a control group through food consumption characteristics, and attempts to compare the differences. Many existing domestic and foreign studies related to metabolic diseases and food consumption characteristics are disease correlation studies of specific food groups and specific ingredients, and this paper is logistic considering all food groups included in the general diet. We created a classification model using regression, a decision tree-based classification model, and a classification model using XGBoost. Of the three models, the high-precision model is the XGBoost classification model, but the accuracy was not high at less than 0.7. As a future study, it is necessary to extend the observation period for food consumption in the patient group to more than 5 years and to study the metabolic disease classification model after converting the food consumed into nutritional characteristics.

Milk and Beverage Preference of College Students (대학생들에 대한 우유와 음료수의 기호성)

  • Kim, Hyun-Dae;Kim, Dong-Soo;Kim, Song-Suk
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.23 no.3
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    • pp.420-428
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    • 1994
  • The purpose of this study was to determine relationship among the observed frequencies of 12 beverages selected by college men and women according to sex, age, race and academic classification and to estimate consumption of milk according to sex, age, race and academic classification. The instrument consisted of a check list and four questions. The sample of 282 subjects, 149 college men and 133 college women, was made by the accidental choice method. Observations occurred in the university center cafeteria at the dinner meal. The significant relationship s were sex and race in association with beverage selections by all subjects. The proportion of men in the distribution who selected regular , carbonated soft drinks and the proportion of white students who selected any of the carobnated soft drinks were the influencies. The result of the study indicated that carbonated soft drinks were the most preferred items followed by milk, water, iced tea, fruit juices, coffee, cocoa, and tea.

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Application of GC-SAW(Surface Acoustic Wave) Electronic Nose to Classification of Origins and Blended Commercial Brands in Roasted Ground Coffee Beans (GC-SAW(Surface Acoustic Wave) 전자코를 활용한 볶은 커피의 원산지 및 배합 커피의 상품별 분류)

  • Seo, Han-Seok;Kang, Hee-Jin;Jung, Eun-Hee;Hwang, In-Kyeong
    • Korean journal of food and cookery science
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    • v.22 no.3 s.93
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    • pp.299-306
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    • 2006
  • The numerous varieties of coffee beans contain a wide range prices and qualities. While the varieties of green coffee beans can generally be distinguished by their appearance, this visual criterion is impossible after the roasting process. Therefore, we need to develop a classification method or device. In this study, the potential of a new type of electronic nose, fast gas chromatography based on a surface acoustic wave sensor(SAW), was evaluated for the classification of origins and blended commercial brands in roasted coffee beans. Eight blended commercial brands and the origins of four similarly roasted ground coffee beans(with no significant difference of color) were rapidly(90 sec/sample) classified. The reproductive results were easily understandable over the aroma image pattern by $VaporPrint^{TM}$. In conclusion, GC-SAW electronic nose can be applied to the classification of origins and commercial brands in roasted ground coffee beans and to e evaluation of the similarities and differences of volatile pattern between samples.

Classification of Vegetable Commodities by the Codex Alimentarius Commission (코덱스의 식품 분류: 채소류)

  • Lee, Mi-Gyung
    • Journal of Food Hygiene and Safety
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    • v.34 no.1
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    • pp.87-93
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    • 2019
  • Revision work on the Codex Classification of Foods and Animal Feeds was undertaken in 2007 and presently, revisions for most food groups have been completed. For vegetables, the work was conducted during 2014-2017, and the final draft revision was adopted by the $40^{th}$ Codex Alimentarius Commission (2017). Here, the revised classification of vegetable commodities is introduced in order to be utilized in various food-related fields, in particular, food safety regulation. The revised classification is briefly summarized as follows: Codex classified vegetables into 10 groups (Group 009-018): bulb vegetables (Group 009), Brassica vegetables (except Brassica leafy vegetables) (Group 010), fruiting vegetables, Cucurbits (Group 011), fruiting vegetables, other than Cucurbits (Group 012), leafy vegetables (including Brassica leafy vegetables) (Group 013), legume vegetables (Group 014), pulses (Group 015), root and tuber vegetables (Group 016), stalk and stem vegetables (Group 017) and edible fungi (Group 018). The groups are further divided into a total of 33 subgroups. In the Classification, 430 different commodity codes are assigned to vegetable commodities. Meanwhile, Korea's Ministry of Food and Drug Safety (MFDS) does not include potatoes, beans and mushrooms within a vegetable group. In addition, the MFDS divides one vegetable group into six subgroups including flowerhead Brassicas, leafy vegetables, stalk and stem vegetables, root and tuber vegetables, fruiting vegetables, Cucurbits, and fruiting vegetables other than Cucurbits. Therefore, care is needed in using the Codex Classification.