• Food Science and Industry
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• v.49 no.4
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• pp.82-93
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• 2016

Although the development of food technology is relatively fast, it's application is very broad. So, it is necessary that quantitative analysis method can be introduced in analysing of research trends and implication of research themes. Most countries do not classify in food additives as synthesis or natural. However, the use of natural food additives should be recommended by considering about health safety. In this regard, quantitative analysis based on bibliographic information of patents and papers is vital to analyse the trend of research on natural food additives. The data regarding with natural food additives was assigned patents and published papers in the world from 1996 to March 2016 and Thomson Innovation, analysis program was provided by Thomson reuters.

• Korean Journal of Environmental Agriculture
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• v.38 no.1
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• pp.1-9
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• 2019

BACKGROUND: Accurate and simple analytical method determining Fluxametamid residue was necessary in various food matrices. Additionally, fulfilment of the international guideline of Codex (Codex Alimentarius Commission CAC/GL 40) was required for the analytical method. In this study, we developed Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) method to determine the Fluxametamid residue in foods. METHODS AND RESULTS: Fluxametamid was extracted with acetonitrile, partitioned and concentrated with dichloromethane. To remove the interferences, silica SPE cartridge was used before LC-MS/MS (Liquid Chromatography-Tandem Mass Spectrometry) analysis with $C_{18}$ column. Five agricultural commodities (mandarin, potato, soybean, hulled rice, and red pepper) were used as a group representative to verify the method. The liner matrix-matched calibration curves were confirmed with coefficient of determination ($r^2$) greater than 0.99 at calibration range of 0.001-0.25 mg/kg. The limits of detection and quantification were 0.001 and 0.005 mg/kg, respectively. Mean average accuracies were shown to be 82.24-115.27%. The precision was also shown to be less than 10% for all five samples. CONCLUSION: The method investigated in this study was suitable to the Codex guideline for the residue analysis. Thus, this method can be useful for determining the residue in various food matrices as routine analysis.

• Safe Food
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• v.8 no.1
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• pp.36-40
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• 2013

• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.199-207
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• 2012

Many factors influence food choices and many studies show personal traits that influence food choices, which can be called food neophobia and food involvement. For example, an individual's food-related tastes are thought to certainly influence personal food choices. This study aimed to determine food choice motives, the food neophobia scale (FNS) and food involvement scale (FIS) of Asians staying in or leaving Korea, and the relationship of those personal traits and food choice motives. Subjects (N=370) completed a questionnaire consisting of food choice motives (15 questions), FNS (10 questions), FIS (12 questions) and socio-demographic conditions (10 questions). Items were analyzed to determine the differences according to nationality using ANOVA. Factor analysis and reliability analysis were conducted to identify the indicators of food choice motives. And correlation analysis was conducted to confirm the relationship between food choice motives and food neophobia / food involvement. The result of analysis suggests that food neophobia and food involvement affect food choice motives and that food choice motives are unique to ethnicity and culture.

• Bulletin of Food Technology
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• v.22 no.1
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• pp.21-28
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• 2009

• Journal of Korean Society of Rural Planning
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• v.26 no.2
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• pp.13-24
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• 2020

This study analyzed the management efficiency of local food stores that are increasing recently. The analysis targeted 25 local food outlets in Jeonbuk area, and the analysis method analyzed the efficiency by CCR model. The input variables used to analyze the input-oriented efficiency of local food stores are business expenses, employees, organizational number of participating farms, and number of items, and sales are used as output variables. The main contents of the analysis are as follows. First, local food outlets increased due to support projects such as the government, local governments, and agricultural cooperatives, but their dependence was high. Second, the management efficiency of 25 local food stores in Jeonbuk is 28.0% when the efficiency is 1.000, and 72.0% of inefficient local food stores. Third, considering the projection point and the reference group, there was room for improvement in input variables. Therefore, it was determined that improvement efforts are needed to secure the continuity of local food outlets in the future. However, this study will require review of variable selection and analysis methods for further analysis.

• 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.

• Korean journal of food and cookery science
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• v.25 no.6
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• pp.655-662
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• 2009

This study investigated foreign consumers' perceived brand image of Korean food by applying the factor analysis research method. Questionnaires were distributed to 600 foreigners visiting Korea, from September 1 to 21, 2008. A total of 416 questionnaires were returned, of which 70 unusable questionnaires were excluded and 346 were used in the final analysis. SPSS 12.0 was employed for the statistical analysis. According to the factor analysis results, the brand image of Korean food were classified into four factors, 'premium concerns', 'novelty concerns', 'health concerns', and 'popularity concerns', where 'health concerns' had the highest mean score among the factors. The results also showed that the respondents perceived Korean food as 'healthy' and 'organic', but not as 'feminine' or 'high-grade', particularly respondents who were Japanese and Chinese. Additionally, the respondents were divided into two groups by degree of preference for Korean food. No significant differences existed between the two groups except for the attribute 'family-oriented'. Overall, the results suggested that the representative brand image of Korean food is 'healthy', which also corresponds with recent food consumption trends and Korean food characteristics.

• Safe Food
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• v.2 no.2
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• pp.11-18
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• 2007

• Analytical Science and Technology
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• v.35 no.1
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• pp.15-23
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• 2022

Food delivery is gaining popularity due to changes in lifestyle and dietary patterns. However, packages used to delivery food may contain contaminants including heavy metals, or additives added during manufacturing process which may migrate into food during processing and transportation. In this study, a total of 58 food packages for delivery were collected and tested for migration of heavy metals (lead, cadmium and arsenic), bisphenol A and phenol into food simulants. The method was validated by evaluating linearity of calibration curve, limit of detection, limit of quantification, recovery and precision. Result of heavy metal migration showed that lead was the most frequently migrated metal and the highest concentration was detected in a polypropylene sample. Although there are no specific migration limits for bisphenol A and phenol in packaging materials tested in this study, migrations of bisphenol A and phenol were detected in some packages. This may due to contamination or additives added during manufacture of packages. Risk (%) was calculated to analyze the risk associated with the migration of heavy metals, bisphenol A and phenol, and was always below 1 %. These results showed that food packages for delivery are safe in terms of heavy metals, bisphenol A and phenol migration.