Since Listeria monocytogenes has a high case-fatality rate, substantial research has been devoted to estimate its growth rate under different conditions of temperature, pH and water activity (a_w). In this study, published findings on L. monocytogenes growth in broth were extracted and unified by constructing meta-regression models based on cardinal models for (i) temperature (CM[T]), (ii) temperature and pH (CM[T][pH]), and (iii) temperature, pH and a_w (CM[T][pH][a_w]). After assessing all the sources retrieved between 1988 until 2017, forty-nine primary studies were considered appropriate for inclusion. Apart from the modelling variables, study characteristics such as: type of broth (BHI, TSB, TPB), reading method (colony-forming-units, CFU; or binary-dilution optical density methods, OD), inoculum concentration and strain serotype, were also extracted. Meta-regressions based on CM[T] and CM[T][pH] were fitted on subsets of the 2009 growth rate measures and revealed that type of broth and reading method significantly modulated the cardinal parameter estimates. In the most parsimonious CM[T][pH][a_w] meta-regression model, whereby the variability due to type of broth was extracted in a nested random-effects structure, the optimum growth rate μ_opt of L. monocytogenes was found to be lower when measured as CFU (0.947 h^-1; SE=0.094 h^-1) than when measured as OD (1.289 h^-1; SE=0.092 h^-1). Such a model produced the following cardinal estimates: T_min=-1.273°C (SE=0.179 °C), T_opt=37.26°C (SE=0.688 °C), T_max=45.12°C (SE=0.013 °C), pH_min=4.303 (SE=0.014), pH_opt=7.085 (SE=0.080), pH_max=9.483 (SE=0.080), a_{w min}=0.894 (SE=0.002) and a_{w opt}=0.995 (SE=0.001). Integrating the outcomes from numerous L. monocytogenes growth experiments, this meta-analysis has estimated pooled cardinal parameters that can be used as reference values in quantitative risk assessment studies.

由于单核细胞增生李斯特氏菌的致死率很高，因此已经进行了大量研究来估计其在不同温度，pH和水活度（_aw）条件下的生长速率。在这项研究中，通过建立基于基本模型的（i）温度（CM [T]），（ii）温度和pH（CM [T]）的元回归模型，提取并统一了肉汤中单核细胞增生李斯特菌生长的已发表发现。 [pH]和（iii）温度，pH和_w（CM [T] [pH] [a _w]）。在评估了1988年至2017年之间检索到的所有来源之后，认为有49项主要研究适合纳入。除了建模变量外，研究特征还包括：肉汤类型（BHI，TSB，TPB），读取方法（菌落形成单位CFU；或二元稀释光密度法OD），接种物浓度和菌株血清型，也被提取。基于CM [T]和CM [T] [pH]的元回归拟合了2009年增长率指标的子集，并显示肉汤类型和读取方法显着调节了基本参数估计。在最节俭的CM [T] [pH值] [一_瓦特]元回归模型，由此由于键入肉汤的可变性以嵌套随机效应结构萃取，最适生长速率μ_选择的单增李斯特菌被发现是低的时候为CFU测定（0.947ħ ^-1 ; SE = 0.094ħ ^-1）时作为OD测量比（1.289ħ ^-1 ; SE = 0.092ħ ^-1）。这样的模型产生了以下基本估计值：T _min = -1.273°C（SE = 0.179°C），T _opt = 37.26°C（SE = 0.688°C），T _max = 45.12°C（SE = 0.013°C） ），pH值_分钟= 4.303（SE = 0.014），pH值_选择= 7.085（SE = 0.080），pH值_最大= 9.483（SE = 0.080），一_{瓦特 分钟}= 0.894（SE = 0.002）和一个_{瓦特 选择}= 0.995（SE = 0.001）。该荟萃分析综合了众多单核细胞增生李斯特菌生长实验的结果，估计了汇总的基本参数，可用作定量风险评估研究的参考值。