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Prevalence of Salmonella in cucumbers, antibiotic and acid resistances and description of the kinetic behavior with dynamic model during storage
Author(s) -
Ha Jimyeong,
Park Eunyoung,
Kim JooSung,
Lee Soomin,
Kim Sejeong,
Lee Jeeyeon,
Choi Yukyung,
Yoon Yohan,
Oh Hyemin,
Kim Yujin,
Lee Yewon,
Seo Yeongeun,
Kang Joohyun
Publication year - 2020
Publication title -
journal of food safety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 43
eISSN - 1745-4565
pISSN - 0149-6085
DOI - 10.1111/jfs.12760
Subject(s) - salmonella , biology , kinetic energy , antibiotics , antibiotic resistance , microbiology and biotechnology , food science , veterinary medicine , mathematics , bacteria , medicine , physics , genetics , quantum mechanics
Abstract This study isolated Salmonella from cucumbers, analyzed the antibiotic resistance and acid resistance for the isolates and developed a dynamic model. Salmonella prevalence in cucumbers and their resistances were determined. To describe the kinetic behavior of Salmonella isolates, the isolates were inoculated into cucumbers, and Salmonella cell counts were enumerated during storage at 10–30°C. The Baranyi model was fitted to the cell count data to calculate kinetic parameters (lag phase duration [ LPD ] and maximum specific growth rate ( μ max )], and a polynomial model was fitted to the kinetic parameters as a function of temperature. The model performance was evaluated with root mean square error ( RMSE ). Using these models, a dynamic model was developed. Salmonella were detected in 3 of 24 cucumbers, all of which were multidrug‐resistant and one was acid‐resistant. As storage temperature increased, LPD decreased and μ max increased. These models were appropriate with 0.367 of RMSE . These results suggest that cross‐contaminated Salmonella could increase during transportation, and it may lead to human infection.