• Title/Summary/Keyword: 식품성분 연구데이터

Search Result 64, Processing Time 0.021 seconds

A Study on the Metadata Design for Standardization of Food Composition Research Data (식품성분 연구데이터의 표준화를 위한 메타데이터 설계에 관한 연구)

  • Lee, Sang Hoon;Park, Eunji;Kim, Juseop;Kim, Suntae
    • Journal of Korean Library and Information Science Society
    • /
    • v.53 no.3
    • /
    • pp.241-262
    • /
    • 2022
  • The purpose of this study was to designed the structure and elements of metadata that can manage and share research data produced in the food composition database. In order to derive metadata elements, mapping crosswalk was performed on 5 metadata such as DCAT, DataCite metadata schema 4.4, TTAK.KO-10.0976, AgMES, and FoodData Central. As a result of the study, the top 15 elements of the 'Resource information' metadata were derived, and 7 mendatory, 3 recommended and 5 optional elements, and the 'Composition analysis' metadata included 8 mendatory, 3 recommended and 1 optional element were derived to describe food composition research data, respectively. The derived metadata elements will be used as an item for systematic management of food composition data and can be used as basic data for sharing with domestic and international food composition databases.

A Study on Dry Weight-Based Nutritional Deviations in Rice Foods for Normalization of Food Data (식품 데이터 정규화를 위한 쌀 음식의 건물중 기반 영양 편차 고찰)

  • Kim, Sang Cheol;Lee, Woon Yong;Park, Woo Pung;Yun, Ki Oh;Kim, Jong Rin
    • Smart Media Journal
    • /
    • v.11 no.7
    • /
    • pp.76-84
    • /
    • 2022
  • In Korea, where rice is the staple food, there are many cases in which the nutritional composition of food is different at the same weight, even though the same ingredients are used and the food or food name is the same. The cause is closely related to the moisture content of the food according to the cooking method and cooking process. In order to design a diet tailored to individual health and supply accurate calories and nutrients, a method of expressing food data that is not affected by the cooking process or cooking method is required. Usually, the same ingredients or foods show a lot of deviation from the nutritional components presented in the standard food database due to the difference in moisture content. For this reason, there are problems that increase the complexity of the food ingredient database and the difficulty in using it. As a method to improve these problems, we would like to propose a food data expression method based on dry weight. As an example of this, the characteristics of rice as a food material and changes in major nutritional components according to the change in moisture of various rice-processed foods made from rice were considered. In addition, as an example of how to normalize food data through this, the dry weight-based nutrition label of rice was presented.

Determining Food Nutrition Information Preference Through Big Data Log Analysis (빅데이터 로그분석을 통한 식품영양정보 선호도 분석)

  • Hana Song;Hae-Jeung, Lee;Hunjoo Lee
    • Journal of Food Hygiene and Safety
    • /
    • v.38 no.5
    • /
    • pp.402-408
    • /
    • 2023
  • Consumer interest in food nutrition continues to grow; however, research on consumer preferences related to nutrition remains limited. In this study, big data analysis was conducted using keyword logs collected from the national information service, the Korean Food Composition Database (K-FCDB), to determine consumer preferences for foods of nutritional interest. The data collection period was set from January 2020 to December 2022, covering a total of 2,243,168 food name keywords searched by K-FCDB users. Food names were processed by merging them into representative food names. The search frequency of food names was analyzed for the entire period and by season using R. In the frequency analysis for the entire period, steamed rice, chicken, and egg were found to be the most frequently consumed foods by Koreans. Seasonal preference analysis revealed that in the spring and summer, foods without broth and cold dishes were consumed frequently, whereas in fall and winter, foods with broth and warm dishes were more popular. Additionally, foods sold by restaurants as seasonal items, such as Naengmyeon and Kongguksu, also exhibited seasonal variations in frequency. These results provide insights into consumer interest patterns in the nutritional information of commonly consumed foods and are expected to serve as fundamental data for formulating seasonal marketing strategies in the restaurant industry, given their indirect relevance to consumer trends.

대두와인체생리(1)

  • Kim, Seong-Ran
    • Bulletin of Food Technology
    • /
    • v.14 no.3
    • /
    • pp.3-16
    • /
    • 2001
  • 대두에 함유되어 있는 생리활성 성분에 대한 과학적 규명에 뒤이어 몇 년 전 부터 대두와 인체생리와 관련한 여러 임상 데이터들과 대사시험에 관한 연구가 최근 집중적으로 수행되고 있다. 대두의 이소플라본은 특히 여성의 유방암, 남성의 전립선 암 등 성호르몬 관련 질환에 탁월한 효과가 있고 폐경과 관련된 호르몬 치료요법의 대체 수단으로 활발한 연구가 진행되고 있다. 그중 본문에서는 식이요인이 질병예방에 매우 중요한 인자로 작용하는 분야인 체내 지질대사 개선 및 유방암 예방과 관련된 최근 연구내용을소개한다.

  • PDF

Analysis of vitamin E and K contents in sea algae and vegetables frequently consumed in Korea for National Standard Food Composition Database (국가표준식품성분표 개정을 위한 국내 다소비 해조류 및 채소류의 비타민 E 및 K 분석)

  • Kim, Hyo Jin;Lee, Seogyeong;Park, Jin Ju;Kim, Hyun Jung
    • Korean Journal of Food Science and Technology
    • /
    • v.53 no.1
    • /
    • pp.19-28
    • /
    • 2021
  • Vitamin E and K are essential micronutrients required by our body in small amounts for proper metabolic functions; however, the content of vitamin E and K commonly consumed in foods has not been comprehensively defined. In this study, the contents of vitamins E and K in sea algae and vegetables were analyzed and the analytical methods were validated. The α-tocopherol equivalent (α-TE) and vitamin K1 content in sea algae ranged from 0.15 to 1.14 mg/100 g and from 11.91 to 1,629.5 ㎍/100 g, respectively. In addition, α-TE and vitamin K1 of vegetables were detected in the range of 0.02-2.48 mg/100 g and 16.15-979.60 ㎍/100 g, respectively. In particular, β- and γ-tocopherol and α- and β-tocotrienol were detected in several vegetables. The analytical methods were accurate and reproducible. These results provide reliable data on the vitamin E and K contents of foods consumed in Korea for the development of National Standard Food Composition Database.

자색옥수수 수술 제거에 따른 속대의 안토시아닌 함량 비교

  • 이기연;김경대;이재희;장은하;함진관
    • Proceedings of the Korean Society of Crop Science Conference
    • /
    • 2022.10a
    • /
    • pp.311-311
    • /
    • 2022
  • 자색옥수수 색소 1호와색소 5호는 강원도농업기술원에서 육성한 옥수수 품종으로 색소 1호는2014년에 품종 등록되었고 색소 5호는 2021 년 품종 출원되었다. 색소 1호와 색소 5호는 알곡은 노란색, 포엽과 속대에 짙은 자색을 띄는 색소 옥수수이며 포엽과 속대에는 안토시아닌이 고함량으로 집적되는 특징이 있다. 색소 1호 및 5호 종실용 옥수수는 포엽과 속대의 안토시아닌 함량이 알곡보다 풍부하고 영양성분이 적어 유효성분을 활용하는데 효과적이며 건강기능성식품 소재로 활용 가능성이 높다. 현재 포엽과 속대 추출물은 식약처의 고시형 식품원료로 등재가 완료되었으며 간 보호 인체적용시험을 진행하고 있다. 추후, 식품원료 및 건강기능식품으로의 사용처 확대에 따른 원료의 효율적 인 생산 및 관리를 위하여 농가를 대상으로 시범재배를 수행하고 있다. 본 연구에서는 자색옥수수 추출물의 품질관리를 위하여 원재료인 속대를 대상으로 제웅과 무제웅 재배 시 속대의 안토시아닌 함량을 비교하였다. 제웅한 옥수수의 속대는 알곡이 맺히지 않았으며 수확 후 건조하여 분석 시료로 사용하였다. 반면, 제웅하지 않은 옥수수의 속대는 수확 후 건조하여 알곡을 제거한 후 분석 시료로 사용하였다. 두 형태의 건조 속대의 안토시아닌 함량 비교를 위하여 UV와 HPLC를 사용하여 총안토시아닌 및 지표성분 cyanidin3-o-glucoside(C3G)를 각각 분석하였다. 분석결과, 제웅한 속대의 총안토시아닌 및 C3G의 함량은 각각 2.45, 0.19 g/100g이었고 제웅하지 않은 속대의 함량은 0.87, 0.11 g/100g이었다. 이러한 분석결과는 향후 자색옥수수의 고품질 원료 관리를 위한 기초데이터로 활용할 예정이다.

  • PDF

Current status of comparative compositional analysis for GM crop biosafety assessment (유전자변형작물 안전성평가를 위한 영양성분 비교연구 동향)

  • Kim, Eun-Ha;Oh, Seon-Woo;Lee, Sang-Gu;Lee, Sung-Kon;Ryu, Tae-Hun
    • Journal of Plant Biotechnology
    • /
    • v.47 no.4
    • /
    • pp.261-272
    • /
    • 2020
  • Approvals for cultivation and import of genetically modified (GM) crops have dramatically increased around the world. Comparative compositional studies are an important aspect of safety assessments of products from GM crops and are based on substantial equivalence. Compositional analyses focus on determining similarities and differences between the compositions of the GM crops and their conventional counterparts, and thereby assessing the compositional equivalence of GM crops and their conventional comparators. The analytes, such as major constituents, key nutrients, and antinutrients, are generally determined on a crop-specific basis according to the OECD consensus document. The use of standard methods throughout the processes, such as selection of comparators, field trials, analytical methods, and statistical data analysis, is crucial. In this study, we showed the general framework of compositional studies. Literature for compositional studies of GM crops conducted abroad and in Korea was reviewed to obtain information about analytes, conventional counterparts, cultivation year, location, and statistical methods. The studies conducted abroad assessed for commercial release of GM crops such as soybean, maize, and cotton, while domestic studies were mainly performed for research in rice. In addition, we suggested a guidance for conventional comparators and field trials applicable to the domestic situation.

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
    • /
    • v.22 no.3
    • /
    • pp.354-360
    • /
    • 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.

Analysis and verification of vitamin B12 in animal foods for update of national standard food composition table (국가표준식품성분표 개정을 위한 동물성 식품 비타민 B12 분석 및 검증)

  • Jeong, Yon Na;Park, Su-Jin;Lee, Sang Hoon;Choi, Youngmin;Choi, Kap Seong;Chun, Jiyeon
    • Korean Journal of Food Science and Technology
    • /
    • v.52 no.4
    • /
    • pp.317-324
    • /
    • 2020
  • In order to create the national food nutrient database, a total of 41 animal foods (ham, seafood, edible insects and eggs) were analyzed for their vitamin B12 content and the applied immunoaffinity-HPLC was verified. Ham vitamin B12 contents were 0.30-0.65 ㎍/100 g. Seafood showed relatively high vitamin B12 level, where the values of fermented clam were the highest (26.80 ㎍/100 g) followed by fermented pollack roe. Vitamin B12 was not detected in silkworm pupae and beetles, while relatively high levels were found in the two-spotted cricket imago (6.70 ㎍/100 g). Chicken and quail egg yolk had roughly 100- and 30-times higher vitamin B12 levels as compared to their egg white. Vitamin B12 contents in quail and chicken eggs were significantly enhanced by boiling (p<0.05). Results based on accuracy (97-102% recovery) and precision (<5% RSD) indicate that this study provides reliable vitamin B12 information on animal foods consumed in Korea.

The Rapid Detection of Antioxidants from Safflower Seeds (Carthamus tinctorius L.) Using Hyphenated-HPLC Techniques (Hyphenated-HPLC 기술을 활용한 홍화씨의 항산화 성분 분석)

  • Kim, Su-Jin;Kim, Sang-Min;Kang, Suk-Woo;Um, Byung-Hun
    • Korean Journal of Food Science and Technology
    • /
    • v.42 no.4
    • /
    • pp.414-419
    • /
    • 2010
  • Hyphenated-HPLC techniques combine the separation power of HPLC with the structural and bioactivity information provided by NMR, ESI/MS, and an on-line antioxidant screening system. The major advantages over the traditional off-line techniques are rapidity and efficiency. In this study, we used hyphenated HPLC techniques including online HPLC-ABTS, LC-NMR, and LC-MS todirectly identify the major antioxidants of safflower (Carthamus tinctorius L.) seeds. The results demonstrated that the major antioxidant compounds from on-line HPLC-ABTS analysis were identified as 8'-hydroxyarcgenin-4'-O-$\beta$-D-glucoside, N-(p-coumaroyl) serotonin, and N-feruloylserotonin. Among them, N-feruloylserotonin accounted for almost 50% of the ABTS radical scavenging activity of the total extract. The results demonstrate that HPLC hyphenated techniques can be used to rapidly screen and structurally identify antioxidants from crude plant extracts.