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Prevalence of Salmonella in cucumbers, antibiotic and acid resistances and description of the kinetic behavior with dynamic model during storage
Journal of Food Safety ( IF 1.9 ) Pub Date : 2020-01-09 , DOI: 10.1111/jfs.12760 Jimyeong Ha 1 , Eunyoung Park 2 , Joo‐Sung Kim 3, 4 , Soomin Lee 1 , Sejeong Kim 1 , Jeeyeon Lee 1 , Yukyung Choi 2 , Yohan Yoon 1, 2 , Hyemin Oh 2 , Yujin Kim 2 , Yewon Lee 2 , Yeongeun Seo 2 , Joohyun Kang 2
Journal of Food Safety ( IF 1.9 ) Pub Date : 2020-01-09 , DOI: 10.1111/jfs.12760 Jimyeong Ha 1 , Eunyoung Park 2 , Joo‐Sung Kim 3, 4 , Soomin Lee 1 , Sejeong Kim 1 , Jeeyeon Lee 1 , Yukyung Choi 2 , Yohan Yoon 1, 2 , Hyemin Oh 2 , Yujin Kim 2 , Yewon Lee 2 , Yeongeun Seo 2 , Joohyun Kang 2
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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 (μmax)], 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 μmax 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.
中文翻译：
黄瓜中沙门氏菌的流行，抗生素和耐酸性以及存储过程中动力学模型的动力学行为描述
该研究从黄瓜中分离出沙门氏菌，分析了分离物的抗生素抗性和耐酸性，并建立了动态模型。确定了黄瓜中沙门氏菌的流行情况及其耐药性。为了描述沙门氏菌分离株的动力学行为，将其接种到黄瓜中，并在10–30°C的储存过程中枚举沙门氏菌的细胞计数。该Baranyi模型拟合到细胞计数数据来计算动力学参数（滞后相持续时间[ LPD ]和最大比生长速率（μ最大）]，然后将多项式模型拟合为动力学参数作为温度的函数。使用均方根误差（RMSE）评估模型性能。使用这些模型，开发了动态模型。在24个黄瓜中，有3个检测到沙门氏菌，所有黄瓜均耐多药，其中一个耐酸。如贮存温度升高，LPD降低，μ最大增加。这些模型适用于0.367的RMSE。这些结果表明，交叉污染的沙门氏菌在运输过程中可能会增加，并可能导致人类感染。
更新日期：2020-01-09
中文翻译：
黄瓜中沙门氏菌的流行，抗生素和耐酸性以及存储过程中动力学模型的动力学行为描述
该研究从黄瓜中分离出沙门氏菌，分析了分离物的抗生素抗性和耐酸性，并建立了动态模型。确定了黄瓜中沙门氏菌的流行情况及其耐药性。为了描述沙门氏菌分离株的动力学行为，将其接种到黄瓜中，并在10–30°C的储存过程中枚举沙门氏菌的细胞计数。该Baranyi模型拟合到细胞计数数据来计算动力学参数（滞后相持续时间[ LPD ]和最大比生长速率（μ最大）]，然后将多项式模型拟合为动力学参数作为温度的函数。使用均方根误差（RMSE）评估模型性能。使用这些模型，开发了动态模型。在24个黄瓜中，有3个检测到沙门氏菌，所有黄瓜均耐多药，其中一个耐酸。如贮存温度升高，LPD降低，μ最大增加。这些模型适用于0.367的RMSE。这些结果表明，交叉污染的沙门氏菌在运输过程中可能会增加，并可能导致人类感染。
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