高通量快速测定致病性及非致病性副溶血性弧菌最大比生长速率

High throughput and rapid determination of the maximum specific growth rate of pathogenic and non-pathogenic Vibrio parahaemolyticus

【目的】比较15°C、20°C和25°C时,9株不同致病性与非致病性副溶血性弧菌菌株在TSB(3%NaCl,pH 8.0)中的最大比生长速率之间的差异。【方法】应用Bioscreen C全自动微生物生长曲线分析仪测定副溶血性弧菌的最大比生长速率。【结果】15°C、20°C和25°C时,9株副溶血性弧菌菌株间最大比生长速率的变异系数分别为20.72%、17.5%和15.98%。不同副溶血性弧菌最大比生长速率之间的差异随着温度的降低而增加。【结论】在进行定量微生物风险评估时,应用仅基于一株菌建立的生长预测模型会给预测结果带来较大的不确定性。需建立可描述不同副溶血性弧菌菌株的最大比生长速率的随机模型来为定量微生物风险评估提供更准确有效的预测模型。

[Objective] Comparing the variability of the maximum specific growth rate, μmax, of 9 different pathogenic and non-pathogenic V. parahaemolyticus strains in TSB （3% NaCl, pH 8.0） at 15 ℃, 20 ℃ and 25 ℃. [Methods] An automated turbidimetric system, Bioscreen C, was used to determine the μmax of strains of V. parahaemolyticus. [Results] The coefficient of variation of μmax among 9 V. parahaemolyticus strains was 20.72%, 17.5% and 15.98% at 15 ℃, 20 ℃ and 25 ℃, respectively. The variability of μmax among different V. parahaemolyticus strains increased as temperature was decreased. [Conclusion] A quantitative microbial risk assessment of V. parahaemolyticus infection and illness based on the growth characteristics of a single strain of V. parahaemolyticus, introduces a bias in the assessment. It’s necessary to develop stochastic models as the more precise and effective predictive model to be utilized in quantitative microbial risk assessment.