• Safe Food
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• v.5 no.4
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• pp.19-24
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• 2010

• Safe Food
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• v.5 no.4
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• pp.25-32
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• 2010

• Safe Food
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• v.4 no.3
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• pp.5-10
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• 2009

• Korean Journal of Agricultural Science
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• v.44 no.2
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• pp.296-307
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• 2017

Globally, consumers' enormous and increasing appetite for meat is one of the biggest causes of climate change because livestock industry emits more greenhouse gas than transportation. The purpose of this study is to analyze consumer awareness about the impact of meat consumption on sustainability in response to climate change. Based on the theory of planned behavior, the attitudes, subjective norms, perceived behavioral control, prior knowledge, and risk perception variables were analyzed to evaluate the impact of climate change awareness over consumer behavior on meat consumption. Major findings are as follows: consumers were aware of climate change but has made few changes to their meat consumption. In addition, changes in meat consumption were found to be caused by health safety concerns, such as disease outbreaks. Significant variables related to meat consumption patterns associated to climate change impacts were household income, age, attitude, subjective norm, perceived behavioral control, and prior knowledge. These results suggest some implications for policy. There is a need for public relations and education to make the public aware of and better understanding of link between climate change and diet. Also, government should make efforts to raise awareness of mitigation of climate change such as comprehensive food labels which are identifying lesser impacts on climate and better dietary guideline instructions which would include coping with climate change.

• Safe Food
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• v.6 no.3
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• pp.31-41
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• 2011

• Journal of Food Hygiene and Safety
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• v.28 no.1
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• pp.36-40
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• 2013

This study was performed to determine the ranking foods and related foodborne pathogens for the impact of climate change, e.g., increasing temperature, on microbiological food safety. To do this, we developed an impact-ranking model comprising an Excel spreadsheet by using Risk Ranger. Because of a lack of data, input values in this model were determined on the basis of an expert's opinion. These values also were converted to normal distribution, and the developed model was simulated using @RISK. In conclusion, the 5 superior ranking foods and related foodborne pathogens for climate change impact were as follows: ready-to-eat foods (RTE) (Staphylococcus aureus, Salmonella spp., and Escherichia coli O157:H7); bread and rice cakes (S. aureus and Bacillus cereus); meat and egg products (Salmonella spp., E. coli O157:H7, and S. aureus); tofu (bean curds) and jellies (B. cereus, E. coli O157:H7, and S. aureus); and fish products (S. aureus, Vibrio spp., and E. coli O157:H7).

• Journal of the FoodService Safety
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• v.4 no.2
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• pp.42-47
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• 2023

The FoodTech industry has been developed with the rise of start-up by using AI, big data, robotics, biotechnology. In addition, sustainable development is more important with the trend of population growth, aging, and climate change. We investigated the impact of FoodTech on the foodservice industry with the cases of the global and domestic companies. The technology of AI, IoT, blockchain, robotics, automation systems are widely used to improve food safety and hygiene while as the use of diagnostic biomarkers such as blood or DNA, digital platform and app, and AI-based solutions are used in the field of personalized nutrition. With the expand of FoodTech in foodservice industry, the competencies that the managers need to develop include understanding technology, resource management, self-development, work ethics, problem-solving, and communication, therefore the support of the related education and training is required.

• Safe Food
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• v.5 no.3
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• pp.19-26
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• 2010

• Safe Food
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• v.5 no.4
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• pp.3-11
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• 2010

• 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.