• Journal of Environmental Health Sciences
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• v.46 no.2
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• pp.184-191
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• 2020

Objectives: This study was performed to analyze cases of food poisoning outbreaks reported in Chungcheongnamdo Province in 2019 and report it as effective data for preventing food poisoning in the future. Methods: Food poisoning outbreaks were analyzed to detect virus, bacteria, and protozoa according to the Manual for Detection of Foodborne Pathogens in Outbreaks to clarify the causes of food poisoning that occurred in Chungcheongnam-do Province in 2019. Results: Among the 79 cases of food poisoning outbreaks, 59 cases (74.7%) were in general restaurants, 15 cases (19.0%) in food service institutions, three cases at banquets, and two cases in take-out food. The 42 cases at general seafood restaurants made up the majority of food poisoning in Chungcheongnam-do. Food poisoning pathogens were shown in 13 cases (86.7%) out of the 15 cases at food service institutions, and 10 cases were related to Norovirus. Among the 79 cases, food-borne pathogens were identified in 35 cases of outbreaks, accounting for 44.3%. The confirmed pathogens were as follows: bacteria (24 cases), Norovirus (12 cases) and Kudoa septempunctata. (five cases). The food-borne bacteria were pathogenic E. coli (12 cases), Staphylococcus aureus (six cases), Salmonella spp. (two cases), Campylobacter jejuni, Bacillus cereus, Clostridium perfringens, and Vibrio parahaemolyticus (one case). Conclusions: To prevent food poisoning, it is necessary to analyze regional characteristics and environments and to hold a campaign for the prevention of food poisoning based on that analysis. In addition, when food poisoning occurs, the results of analyzing its cause and spread based on accurate epidemiological survey need to be shared.

• Journal of Food Hygiene and Safety
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• v.38 no.5
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• pp.279-286
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• 2023

Rapid and accurate detection of pathogenic bacteria is crucial for various applications, including public health and food safety. However, existing bacteria detection techniques have several drawbacks as they are inconvenient and require time-consuming procedures and complex machinery. Recently, the precision and versatility of CRISPR/Cas system has been leveraged to design biosensors that offer a more efficient and accurate approach to bacterial detection compared to the existing techniques. Significant research has been focused on developing biosensors based on the CRISPR/Cas system which has shown promise in efficiently detecting pathogenic bacteria or virus. In this review, we present a biosensor based on the CRISPR/Cas system that has been specifically developed to overcome these limitations and detect different pathogenic bacteria effectively including Vibrio parahaemolyticus, Salmonella, E. coli O157:H7, and Listeria monocytogenes. This biosensor takes advantage of the CRISPR/Cas system's precision and versatility for more efficiently accurately detecting bacteria compared to the previous techniques. The biosensor has potential to enhance public health and ensure food safety as the biosensor's design can revolutionize method of detecting pathogenic bacteria. It provides a rapid and reliable method for identifying harmful bacteria and it can aid in early intervention and preventive measures, mitigating the risk of bacterial outbreaks and their associated consequences. Further research and development in this area will lead to development of even more advanced biosensors capable of detecting an even broader range of bacterial pathogens, thereby significantly benefiting various industries and helping in safeguard human health

• Korean Journal of Food Science and Technology
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• v.39 no.1
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• pp.71-76
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• 2007

Foodborne illness caused by Noroviruses (NVs) is increasing rapidly in Korea. This study developed an effective detection protocol for NVs found in contaminated oysters and lettuce through an investigation using the major steps of virus particle separation, concentration and RT-PCR. As a surrogate model for NVs, the cultivable feline calicivirus (FCV) that belongs to the same Caliciviridae family was used. Instead of using a time-consuming ultracentrifugation method, efficient methods based on solvent extraction and PEG precipitation procedure were applied. Direct homogenization of a 25g sample of whole oyster and lettuce in 175mL PBS provided the simplicity that would be needed in the actual field of food product examination. The overnight PEG precipitation step at $4^{\circ}C$ was reduced to 3 h by placing the reaction tube in ice and by adjusting the PEG concentrations. The application of the use of chloroform and 0.2 ${\mu}m$ syringe filtration together showed a better detection efficiency than the use of chloroform alone in removing PCR inhibitors for both oyster and lettuce samples. Also, dilution of the extracted RNA solution before PCR provided increased sensitivity. The improved detection protocol developed in this study could be efficiently applied to detect FCV and most likely NVs from oysters and lettuce.