The antimicrobial resistance patterns to 15 antimicrobial agents of Vibrio parahaemolyticus and Vibrio alginolyticus isolated from farmed fishes, including olive flounder (Paralichthys olivaceus), black rockfish (Sebastes schlegeli), red sea bream (Pagrus major), and sea bass (Lateolabrax japonicus), were investigated from 2005 through 2007. A total of 218 V. parahaemolyticus isolates and 153 V. alginolyticus isolates were obtained from the 180 fish samples collected from fish farms located along the southern coast of Korea. We found that 65.1% of V. parahaemolyticus and 85.6% of V. alginolyticus isolates showed antimicrobial resistance against more than one antimicrobial agent. The prevalence of resistance in V. parahaemolyticus isolates to ampicillin was highest (57.8%), followed by resistance to rifampin (11.9%), streptomycin (8.7%), and trimethoprim (6.4%). V. alginolyticus isolates were also most resistant to ampicillin (75.2%), followed by tetracycline (15.0%), trimethoprim (12.4%), and rifampin (9.8%). The prevalence of multiresistance to four or more antimicrobials was higher in V. alginolyticus (11.1%) than in V. parahaemolyticus (5%). Antimicrobial resistance rates per isolate of V. parahaemolyticus and V. alginolyticus possessing virulence genes were not different from those of the rest of the isolates.
In this study, we constructed a rapid detection system for a foodborne pathogen, Vibrio parahaemolyticus, by using enzyme-linked immunosorbent assay (ELISA)-on-a-chip (EOC) biosensor technology to minimize the risk of infection by the microorganism. The EOC results showed a detection capability of approximately 6.2x10(5) cells per ml, which was significantly higher than that of the conventional rapid test kit. However, this high level of sensitivity required cultivation of the pathogen prior to analysis, which typically exceeded a day. To shorten the test period, we combined the EOC technology with immunomagnetic separation (IMS), which could enhance the sensitivity of the biosensor. IMS was carried out with magnetic particles coated with a monoclonal antibody specific to the microbe. To test the performance of the IMS-EOC method, fish intestine samples were prepared by artificially inoculating less than 1 or 5 CFU/10 g, allowing for enrichment over predetermined times, and analyzing the sample by using the EOC sensor after concentrating the culture 86-fold via IMS. Using this approach, the bacterium was detected after (at most) 9 h, which approximately corresponds to standard working hours. Thus, the IMS-EOC method allowed for the rapid detection of V. parahaemolyticus, which is responsible for foodborne diseases, and this method could be used for early isolation of contaminated foods before distribution.
An enzyme-linked immunosorbent assay (ELISA)-on-a-chip (EOC) biosensor combined with cell concentration technology based on immuno-magnetic separation (IMS) was investigated for use as a potential tool for early screening of Listeria monocytogenes (L. monocytogenes) in food products. The target analyte is a well-known pathogenic foodborne microorganism and outbreaks of the food poisoning typically occur due to contamination of normal food products. Thus, the aim of this study was to develop a rapid and reliable sensor that could be utilized on a daily basis to test food products for the presence of this pathogenic microorganism. The sensor was optimized to provide a high detection capability (e.g., 5.9 × 10 3 cells/mL) and, to eventually minimize cultivation time. The cell density was condensed using IMS prior to analysis. Since the concentration rate of IMS was greater than 100-fold, this combination resulted in a detection limit of 54 cells/mL. The EOC-IMS coupled analytical system was then applied to a real sample test of fish intestines. The system was able to detect L. monocytogenes at a concentration of 2.4 CFU/g after pre-enrichment for 6 h from the onset of cell cultivation. This may allow us to monitor the target analyte at a concentration less than 1 CFU/g within a 9 h-cultivation provided a doubling time of 40 min is typically maintained. Based on this estimation, the EOC-IMS system can screen and detect the presence of this microorganism in food products almost within working hours.
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