2023 09 - 2025 08
moon1357@ewhain.net
Research Project
Microbial risk assessment of Salmonella in processed egg products
Microbial assessment on food through comprehensive metagenome analysis combined with culture-dependent method
2023 03 - 2025 02
wlgml318@ewhain.net
Research Project
Research for advancing the food safety based on total establishment of fungal·bacterial·viral metagenomes big data and identification of their interrelationships
Chracterization of microbiological risk factors in food-service establishments and cafeterias and hygiene intervention targeting key factors
2023 03 - 2025 02
hijiny0407@ewhain.net
Research Project
Microbial assessment on food through comprehensive metagenome analysis combined with culture-dependent method
Investigation of the antibiotic-resistance pathogen in livestock
Publications
Hong, Y. J., Kim, Y. M., Kim, Y. S., Cho, T. J., Rhee, M. S., & Kim, S. A. (2025). Microbial community of retail marinated raw crab: Comprehensive analysis via culture-dependent methods and high-throughput sequencing. LWT, 232, 118376.
2023 03 - 2025 02
haveavision@ewhain.net
Research Project
Research for advancing the food safety based on total establishment of fungal·bacterial·viral metagenomes big data and identification of their interrelationships
Microbial risk assessment of Salmonella in processed egg products
2022 09 - 2024 08
ksks5468@ewhain.net
Research Project
Microbial risk assessment of pathogenic Escherichia coli in fisheries products and processed fisheries products
Microbial assessment on food through comprehensive metagenome analysis combined with culture-dependent method
Publications
Kim, S. A., Ban, G. H., Cho, T. J., Rhee, M. S., & Kim, S. A. (2025). Bacterial characterization of retail seasoned dried seafood using culture-based and high-throughput sequencing approaches: Implications for food quality and safety. Food Bioscience, 107168.
2022 03 - 2024 02
dpwls1753@ewhain.net
Research Project
Microbial assessment on food through comprehensive metagenome analysis combined with culture-dependent method
Development of antimicrobial biodegradable hygiene products based on electron beam crosslinking for the maintenance of homeostasis in vagina during menstruation
Microbiome identification of foods and microbial contamination source tracking based on metagenome sequencing
Publications
Kim, Y. J., Ban, G. H., Hong, Y. W., Jeong, K. C., Bae, D. R., & Kim, S. A. (2024). Bacterial profile of pork from production to retail based on high-throughput sequencing. Food Research International, 176, 113745.
2022 03 - 2024 02
14youm@ewhain.net
Research Project
Studies for the distribution, characterization, and analysis of antimicrobial resistant (AR) bacteria and their AR determinants in retail foods
Development of Safety Management for Ensuring Microbiological Safety of Mushrooms and Risk Assessment
Publications
Yeom, J. Y., Bae, D. R., & Kim, S. A. (2024). Microbial dynamics of South Korean beef and surroundings along the supply chain based on high-throughput sequencing. Meat Science, 214, 109520.
2022 03 - 2024 02
Research Project
Microbial risk assessment of pathogenic Escherichia coli in fisheries products and processed fisheries products
Publications
Choi, E. J., Kim, Y. M., Lee, Y. H., Cho, T. J., Rhee, M. S., & Kim, S. A. (2024). Microbial consortia in commercial salmon products: A comparative study using cultivation-dependent and high-throughput sequencing approaches. Food Research International,196, 115072.
Kim, Y. M., Choi, E. J., Cho, T. J., Rhee, M. S., & Kim, S. A. (2024). Microbial profiling of oysters from a processing plant and retail products: Analysis based on culture-dependent methods and 16S rRNA gene sequencing. Food Research International,196, 115096.
2022 03 - 2024 02
psjtnwls8686@ewhain.net
Research Project
Analysis of Total Microbial Population, Microbial Species, and Species proportion among the Effects of Oxidation Process on Granular Activated Carbon Process
Establishment of a plan for improving the food safety management system while looking into the causes of food poisoning in Korea using new technology and industrialization
2021 03 - 2023 02
dbsk0166@gmail.com
Research Project
Microbiome identification of foods and microbial contamination source tracking based on metagenome sequencing
Development of Safety Management for Ensuring Microbiological Safety of Mushrooms and Risk Assessment
Microbial risk assessment of pathogenic Escherichia coli in fisheries products and processed fisheries products
Microbial assessment on food through comprehensive metagenome analysis combined with culture-dependent method
Development of antimicrobial biodegradable hygiene products based on electron beam crosslinking for the maintenance of homeostasis in vagina during menstruation
Publications
Kim, B. K., & Kim, S. A. (2023). Investigation of Microbial Ecology of Fish Sauces based on Culture Method and 16S rRNA Metagenome Sequencing. LWT-Food Science and Technology, 187, 115275.
Ban, G. H., Kim, B. K., Kim, S. R., Rhee, M. S., & Kim, S. A. (2022). Bacterial microbiota profiling of oyster mushrooms (Pleurotus ostreatus) based on cultivation methods and distribution channels using high-throughput sequencing. International Journal of Food Microbiology, 382, 109917.
2021 03 - 2023 02
luminousjw118@gmail.com
Research Project
Studies for the distribution, characterization, and analysis of antimicrobial resistant (AR) bacteria and their AR determinants in retail foods
Analysis of Total Microbial Population, Microbial Species, and Species proportion among the Effects of Oxidation Process on Granular Activated Carbon Process
Development of Safety Management for Ensuring Microbiological Safety of Mushrooms and Risk Assessment
Establishment of a plan for improving the food safety management system while looking into the causes of food poisoning in Korea using new technology and industrialization
Publications
Park J. W., Bae. D. Y., & Kim, S. A. (2023). Microbial Trace Investigation of Chickens and Surroundings of the Entire Chicken Supply Chain Based on Metagenomic High-Throughput Sequencing. Food Research International, 169, 112775.
2020 03 - 2022 08
ywhong2008@gmail.com
Research Project
Studies for the distribution, characterization, and analysis of antimicrobial resistant (AR) bacteria and their AR determinants in retail foods
Publications
Hong, Y. W., Ban, G. H., Bae. D. Y., Kim, S. A. (2023). Microbial Investigation of Aquacultured Olive Flounder (Paralichthys olivaceus) from Farm to Table Based on High Throughput Sequencing. International Journal of Food Microbiology, 389, 110111.
Kim, Y. J., Ban, G. H., Hong, Y. W., Jeong, K. C., Bae, D. R., & Kim, S. A. (2024). Bacterial profile of pork from production to retail based on high-throughput sequencing. Food Research International, 176, 113745.
2019 09 - 2021 08
phoebedoesate@naver.com
Research Project
Analysis of Total Microbial Population, Microbial Species, and Species proportion among the Effects of Oxidation Process on Granular Activated Carbon Process
Microbiome identification of foods and microbial contamination source tracking based on metagenome sequencing
Advances in microbiological safety management of cosmetic products
Publications
Kim, S. Y., Ban, G. H., Hong, Y. W., Jang, J. M., & Kim, S. A. (2022). Microbiome shifts in sprouts (alfalfa, radish, and rapeseed) during production from seed to sprout using 16S rRNA microbiome sequencing. Food Research International, 152, 110896.
Jang, J. M., Kim, S. Y., Ricke, S. C., Rhee, M. S., & Kim, S. A. (2021). Microbial ecology of alfalfa, radish, and rapeseed sprouts based on culture methods and 16S rRNA microbiome sequencing. Food Research International, 144, 110316.
2019 03 - 2021 02
minjijang23@ewhain.net
Research Project
Defining microbiome for hazardous foods based on next generation sequencing technology and bioinformatics tool
Publications
Jang, J. M., Kim, S. Y., Ricke, S. C., Rhee, M. S., & Kim, S. A. (2021). Microbial ecology of alfalfa, radish, and rapeseed sprouts based on culture methods and 16S rRNA microbiome sequencing. Food Research International, 144, 110316.
Kim, S. Y., Ban, G. H., Hong, Y. W., Jang, J. M., & Kim, S. A. (2022). Microbiome shifts in sprouts (alfalfa, radish, and rapeseed) during production from seed to sprout using 16S rRNA microbiome sequencing. Food Research International, 152, 110896.