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http://dx.doi.org/10.23093/FSI.2021.54.4.293

Current status of food safety detection methods for Smart-HACCP system  

Lim, Min-Cheol (Research Group of Consumer Safety, Korea Food Research Institute)
Woo, Min-Ah (Research Group of Consumer Safety, Korea Food Research Institute)
Choi, Sung-Wook (Research Group of Consumer Safety, Korea Food Research Institute)
Publication Information
Food Science and Industry / v.54, no.4, 2021 , pp. 293-300 More about this Journal
Abstract
Food safety accidents have been increasing by 2% over 5,000 cases every year since 2009. Most people know that the best method to prevent food safety accidents is a quick inspection, but there is a lack of inspection technology that can be used at the non-analytic level to food production and distribution sites. Among the recent on-site diagnostic technologies, the methods for testing gene-based food poisoning bacteria were introduced with the STA technology, which can range from sample to detection. If food safety information can be generated without forgery by directly inspecting food hazard factors by remote, unmanned, not human, pollution sources can be managed by predicting risks more accurately from current big-data and artificial intelligence technology. Since this information processing can be used on smartphones using the current cloud technology, it is judged that it can be used for food safety to small food businesses or catering services.
Keywords
food safety; rapid detection; automated inspection; HACCP;
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