• Title/Summary/Keyword: Korea Food Data

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A Shelf Life Analysis Software for Food Industry (식품회사를 위한 선반수명분석 소프트웨어)

  • Chang, Kyung;Lee, Jin-Bum
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.25 no.2
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    • pp.19-26
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    • 2002
  • In this paper a software program is given for food product life (shelf life) estimation. There are many modules of related operations, considering the characteristic of food industry so that users can easily use and understand the software, and we make the related data referenced In data base. In food industry acceleration tests depend on food deterioration differential equations. Based on such equations, etc, this paper suggests a shelf life estimation software program.

Estimation of Concentrations in Foods and Their Daily Intake for Sorbic Acid in Korea (식품 중 소르빈산의 사용실태 및 섭취량에 관한 연구)

  • Kim, Hee-Yun;Jang, Young-Mi;Yoon, Hae-Jung;Lee, Chang-Hee;Park, Sung-Kwan;Park, Sun-Young;Shin, Il-Shick;Lee, Jong-Ok;Chin, Myung-Shik;Lee, Chul-Won
    • Korean Journal of Food Science and Technology
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    • v.34 no.6
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    • pp.1103-1109
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    • 2002
  • Mean concentration and daily intake of sorbic acid were estimated through the analysis of food samples obtained from Korea FDA and food sanitation inspection agency during $1999{\sim}2000$. Total number of samples were 14,129, among which the number of detected samples were 2,561 (detection rate was 18.13%). Contribution rate to total estimated daily intake (%) of sorbic acid in the categorized food were the highest in processed fish product. Total estimated daily intake $({\Sigma}EDI)$ for age groups were the highest in $30{\sim}49$ years old and ranged from 3.42 to 9.25 mg/person/day. Estimation of average food intake for each food item per person per day was based on data in national nutrition survey and national food disapperance data in 1998. Total estimated daily intake of sorbic acid was 20.40 mg per body weight of 55 kg. This value was 1.48% of acceptable daily intake evaluated by FAO/WHO and 33.03% of theoretical maximum daily intake.

Evaluating Distress Prediction Models for Food Service Franchise Industry (외식프랜차이즈기업 부실예측모형 예측력 평가)

  • KIM, Si-Joong
    • Journal of Distribution Science
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    • v.17 no.11
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    • pp.73-79
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    • 2019
  • Purpose: The purpose of this study was evaluated to compare the predictive power of distress prediction models by using discriminant analysis method and logit analysis method for food service franchise industry in Korea. Research design, data and methodology: Forty-six food service franchise industry with high sales volume in the 2017 were selected as the sample food service franchise industry for analysis. The fourteen financial ratios for analysis were calculated from the data in the 2017 statement of financial position and income statement of forty-six food service franchise industry in Korea. The fourteen financial ratios were used as sample data and analyzed by t-test. As a result seven statistically significant independent variables were chosen. The analysis method of the distress prediction model was performed by logit analysis and multiple discriminant analysis. Results: The difference between the average value of fourteen financial ratios of forty-six food service franchise industry was tested through t-test in order to extract variables that are classified as top-leveled and failure food service franchise industry among the financial ratios. As a result of the univariate test appears that the variables which differentiate the top-leveled food service franchise industry to failure food service industry are income to stockholders' equity, operating income to sales, current ratio, net income to assets, cash flows from operating activities, growth rate of operating income, and total assets turnover. The statistical significances of the seven financial ratio independent variables were also confirmed by logit analysis and discriminant analysis. Conclusions: The analysis results of the prediction accuracy of each distress prediction model in this study showed that the forecast accuracy of the prediction model by the discriminant analysis method was 84.8% and 89.1% by the logit analysis method, indicating that the logit analysis method has higher distress predictability than the discriminant analysis method. Comparing the previous distress prediction capability, which ranges from 75% to 85% by discriminant analysis and logit analysis, this study's prediction capacity, which is 84.8% in the discriminant analysis, and 89.1% in logit analysis, is found to belong to the range of previous study's prediction capacity range and is considered high number.

Relation between Regression-based Food Additives and Carcinogenesis using Big Data Analysis (빅 데이터 분석을 활용한 회귀분석 기반 식품 첨가물과 암 발생 관계)

  • Lee, Kuk Hyung;Lee, Jun-Hee;Kim, Jeong-Joon;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.1
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    • pp.203-210
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    • 2018
  • Well-Bing Many consumer forms of natural foods that are not chemically processed due to heat are becoming popular. However, it is very difficult to find foods that do not contain chemical food additives in the modern. Also, there are many products that do not have proper marking of ingredients of chemical food additives or are omitted from marking. Based on the annual data on chemical food additive consumption in Korea, this paper will examine the occurrence of cancer, which is emerging by additives, through time series analysis and regression analysis, one of the big data analysis techniques. Of the total population.

Analytic Hierarchy Process Approach to Estimate Weights of Evaluation Categories for School Food Service Program in Korea (계층적 분석 과정을 이용한 학교급식 운영 품질 평가 분야의 중요도 분석)

  • Lee Min-A;Yang Il-Sun;Yi Bo-Sook;Kim Hyun-Ah;Park So-Hyun
    • Journal of Nutrition and Health
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    • v.39 no.1
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    • pp.74-83
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    • 2006
  • The purposes of this study were to (1) identify the evaluation categories, areas, attributes, and criteria of the school food service program using both a qualitative and a quantitative analyses, (2) define the relative importance of the evaluation categories, areas, attributes, and criteria of the school food service program using analytic hierarchy process, (3) organize the evaluation system to improve quality of the school food service in Korea. A survey was conducted from August to October 2004 to collect data from 172 dietitians, 15 school food service officials at the educational board, 10 professionals of school food service. Statistical analyses were performed on the data utilizing the SPSS 12.0 for Windows and Excel, such as Descriptive statistics and analytic hierarchy process was performed. The result of the analytic hierarchy process indicated that relative importance of evaluation category was 0.4319 (food service manage ment), 0.2369 (nutrition education), 0.1455 (satisfaction) and 0.0912 (parent involvement program). 'Sanitation, safety and facility (0.1739)' was the most important area among the subcategories of food service management, followed by nutrition management (0.1581), procurement (0.1375), production (0.1345), organization and personnel management (0.0662), planning (0.0644), food service evaluation (0.0585), financial accountability (0.0555), and information management (0.0554). There existed a relative importance on the three areas of the nutrition program and satisfaction evaluation category: students (0.5281, 0.6221), parents (0.1812, 0.1491), and teachers (0.1838, 0.1618). In the parent involvement program evaluation category, relative importance of committee and monitoring management was 0.4658 and information communication was 0.3724. The quality of food and service to school children can be improved by the appropriate application of the developed evaluation tool for the school food service program.

The level of food literacy and its association with food intake and obesity status among Seoul citizens: results from Seoul Food Survey 2021

  • Hyelim Yoo;Eunbin Jo;Hyeongyeong Lee;Eunji Ko;Eunjin Jang;Jiwon Sim;Kirang Kim;Sohyun Park
    • Nutrition Research and Practice
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    • v.17 no.5
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    • pp.945-958
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    • 2023
  • BACKGROUND/OBJECTIVES: Food literacy (FL) is a crucial skill for selecting sustainable and healthy food options, necessitating the identification of vulnerable groups in the community using valid measurement tools. Identifying weak domains in FL is essential for enhancing the overall FL. This study examined the FL levels of Seoul citizens based on their sociodemographic characteristics and assessed the relationship between FL, food intake, and weight status. SUBJECTS/METHODS: This study utilized the data from the Seoul Food Survey, a cross-sectional study employing representative samples of Seoul citizens. Data collection occurred from September to October 2021, with 4,039 citizens aged 18 yrs and above participating in face-to-face surveys. Thirty-three FL items were assessed, comprising 14 items in the nutrition and safety (NS) domain, eight items in the cultural and relational (CR) domain, and 11 items in the socio-ecological (SE) domain. In addition, data on food intake sufficiency and obesity status were collected. The descriptive statistics, t-tests, analysis of variance, and logistic regression analysis were used for analysis. RESULTS: Men, students, young adults, older citizens, and people experiencing food insecurity had the lowest scores for all the FL domains. The highest quartile group of NS scores had a higher probability of consuming adequate servings of vegetables and fruits, with significant linear trends observed (P for trend < 0.05). In all three FL domains, the odds ratio for obesity was significantly lower in the groups with high FL scores (P < 0.05). CONCLUSIONS: A close relationship was observed between low FL, obesity, and food intake, even after controlling for other covariates. Vulnerable groups with low FL were also identified. Therefore, it is essential to develop programs to improve FL and the health and well-being of these groups.

Development of AI-based Cognitive Production Technology for Digital Datadriven Agriculture, Livestock Farming, and Fisheries (디지털 데이터 중심의 AI기반 환경인지 생산기술 개발 방향)

  • Kim, S.H.
    • Electronics and Telecommunications Trends
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    • v.36 no.1
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    • pp.54-63
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    • 2021
  • Since the recent COVID-19 pandemic, countries have been strengthening trade protection for their security, and the importance of securing strategic materials, such as food, is drawing attention. In addition to the cultural aspects, the global preference for food produced in Korea is increasing because of the Korean Wave. Thus, the Korean food industry can be developed into a high-value-added export food industry. Currently, Korea has a low self-sufficiency rate for foodstuffs apart from rice. Korea also suffers from problems arising from population decline, aging, rapid climate change, and various animal and plant diseases. It is necessary to develop technologies that can overcome the production structures highly dependent on the outside world of food and foster them into export-type system industries. The global agricultural industry-related technologies are actively being modified via data accumulation, e.g., environmental data, production information, and distribution and consumption information in climate and production facilities, and by actively expanding the introduction of the latest information and communication technologies such as big data and artificial intelligence. However, long-term research and investment should precede the field of living organisms. Compared to other industries, it is necessary to overcome poor production and labor environment investment efficiency in the food industry with respect to the production cost, equipment postmanagement, development tailored to the eye level of field workers, and service models suitable for production facilities of various sizes. This paper discusses the flow of domestic and international technologies that form the core issues of the site centered on the 4th Industrial Revolution in the field of agriculture, livestock, and fisheries. It also explains the environmental awareness production technologies centered on sustainable intelligence platforms that link climate change responses, optimization of energy costs, and mass production for unmanned production, distribution, and consumption using the unstructured data obtained based on detection and growth measurement data.

The Korean Pharmacogenomic Database at NIFDS: 2008 Update

  • Kang, T.S.;Woo, S.W.;Park, H.J.;Han, S.Y.;Park, M.H.;Chung, M.W.
    • Genomics & Informatics
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    • v.7 no.3
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    • pp.163-167
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    • 2009
  • Since its first release in 2007, the National Institute of Food and Drug Safety Evaluation (NIFDS) has provided pharmacogenomic and comparative information specific to Koreans to allow regulatory reviewers and researchers to adapt their working practices to pharmacogenomics. The highlights of this year's additions include "Drug Information", "Gene Information" and "Pharmacogenomic information in the drug labels" sections. These new additions provide information on 737 genes, 719 drugs and pharmacogenomic data of the labels or relabels of 253 approved drugs as of November 2008. The latest version of the Korean Pharmacogenomic Database (KPD, release 2.0) has expanded significantly since its previous release. More SNP and haplotype information has been added to the database with the latest version of the KPD containing approximately four times as many SNPs and haplotypes than the previous version (719 vs. 152, and 30 vs. 7 respectively). Through the "SNP" and "Haplotype" sections, the KPD provides unique Korean SNP and haplotype information as well as comparative information of other populations (Japanese, Chinese, European, African) to offer a range of pharmacogenomic data that can help reviewers and the public understand pharmacogenomic information. The quality and quantity of information in the KPD has also been improved considerably. This data can be found at: http://www.nitr.go.kr/nitr/contents/m134700/view.do/.

Non-destructive quality prediction of domestic, commercial red pepper powder using hyperspectral imaging

  • Sang Seop Kim;Ji-Young Choi;Jeong Ho Lim;Jeong-Seok Cho
    • Food Science and Preservation
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    • v.30 no.2
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    • pp.224-234
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    • 2023
  • We analyzed the major quality characteristics of red pepper powders from various regions and predicted these characteristics nondestructively using shortwave infrared hyperspectral imaging (HSI) technology. We conducted partial least squares regression analysis on 70% (n=71) of the acquired hyperspectral data of the red pepper powders to examine the major quality characteristics. Rc2 values of ≥0.8 were obtained for the ASTA color value (0.9263) and capsaicinoid content (0.8310). The developed quality prediction model was validated using the remaining 30% (n=35) of the hyperspectral data; the highest accuracy was achieved for the ASTA color value (Rp2=0.8488), and similar validity levels were achieved for the capsaicinoid and moisture contents. To increase the accuracy of the quality prediction model, we conducted spectrum preprocessing using SNV, MSC, SG-1, and SG-2, and the model's accuracy was verified. The results indicated that the accuracy of the model was most significantly improved by the MSC method, and the prediction accuracy for the ASTA color value was the highest for all the spectrum preprocessing methods. Our findings suggest that the quality characteristics of red pepper powders, even powders that do not conform to specific variables such as particle size and moisture content, can be predicted via HSI.

Characteristics of Norovirus Food Poisoning Outbreaks in Korea over the Past Ten Years and the Relation with Climate Factors (우리나라에서 지난 10년간 노로바이러스 식중독 발생의 특징과 기후요소와의 관련성)

  • Kim, Jong-Gyu;Kim, Joong-Soon
    • Journal of Environmental Health Sciences
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    • v.45 no.6
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    • pp.622-629
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    • 2019
  • Objectives: The occurrence of norovirus food poisoning in South Korea has been reported since 2003. This study was performed to investigate the characteristics of norovirus food poisoning outbreaks in Korea from 2006 to 2015 and to analyze the relationship between these outbreaks and climate factors. Methods: Data on norovirus food poisoning outbreaks were obtained from the Korea Ministry of Food and Drug Safety. Data on climate factors were obtained from the Korea Meteorological Administration. Frequency analysis and Pearson's correlation analysis were adopted for this study. Results: During the study period, norovirus was the greatest contributing factor of food poisoning outbreaks. Approximately half of the outbreaks of norovirus food poisoning occurred in winter. Average temperature, highest and lowest temperatures, precipitation, number of days with rainfall, and humidity all had a significant negative correlation with monthly number of outbreaks of norovirus food poisoning (p<0.05). Among these, the lowest and average temperature showed higher correlation coefficients. However, the sum of the outbreaks in spring and autumn was similar to that of winter, and more than one-third occurred in group meal-service settings, including school lunches. This was strongly assumed as the use of norovirus-contaminated groundwater for preparation of meals in some settings. Conclusion: The cold and dry of the winter season in Korea may assist the transmission of norovirus. Also, the use of groundwater in group meal service is suspected of inducing a larger scale of norovirus food poisoning. Both health authorities and community-based prevention and control measures are required to respond to these complex etiological outbreaks.