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http://dx.doi.org/10.22960/JFSS.2021.2.84

Analysis of Microbial Contamination in Microgreen from Harvesting and Processing Steps and the Development of the Predictive Model for Total Viable Counts  

Kang, Mi Seon (Department of Food Biotechnology, University of Science and Technology)
Kim, Hyun Jung (Department of Food Biotechnology, University of Science and Technology)
Publication Information
Journal of the FoodService Safety / v.2, no.2, 2021 , pp. 84-90 More about this Journal
Abstract
This study was performed to assess the microbiological quality and safety of microgreen sampled from harvesting farms and food processing plant in Korea. The samples were analyzed for total viable counts, coliforms, Enterobacteriaceae, Escherichia coli, Salmonella spp., Listeria monocytogenes, Vibrio parahaemolyticus, Bacillus cereus, and Staphylococcus aureus. Total viable counts were highly contaminated in samples collected from farms (7.7~8.2 log CFU/g) and the final products (5.8~7.8 log CFU/g), respectively. B. cereus was detected less than 100 CFU/g, which was satisfied with Korean standards (<1,000 CFU/g) of fresh-cut produce. A predictive model was developed for the changes of total viable counts in microgreens during storage at 5~35℃. The predictive models were developed using the Baranyi model for the primary model and the square root model for the secondary model. The results obtained in this study can be useful to develop the safety management options along the food chain, including fresh-cut produce storage and distribution.
Keywords
Microgreens; microbial contamination; total viable counts; predictive model;
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