Mudgal P, Breidt F, Lubkin S R, Sandeep K P
U.S. Department of Agriculture, Agricultural Research Service, North Carolina Agricultural Research Service, Department of Food Science, Box 7624, North Carolina State University, Raleigh, NC 27695-7624, USA.
Appl Environ Microbiol. 2006 Jun;72(6):3908-15. doi: 10.1128/AEM.02429-05.
We investigated the possibility of using starter cultures in sauerkraut fermentation and thereby reducing the quantity of salt used in the process. This, in turn, would reduce the amount of waste salt that would enter in our water resources. Phage, naturally present in sauerkraut fermentation, could potentially affect the starter cultures introduced. Thus, a mechanistic mathematical model was developed to quantify the growth kinetics of the phage and starter cultures. The model was validated by independent experiments with two Leuconostoc mesenteroides strains isolated from sauerkraut and their corresponding phage. Model simulations and experimental evidence showed the presence of phage-resistant cell populations in starter cultures which replaced phage-sensitive cells, even when the initial phage density (P(0)) and multiplicity of infection (MOI) were low (P(0) < 1 x 10(3) PFU/ml; MOI < 10(-4)) in the MRS media. Based on the results of model simulation and parameter optimization, it was suggested that the kinetic parameters of phage-host interaction, especially the adsorption rate, vary with the initial phage and host densities and with time. The model was validated in MRS broth. Therefore, the effects of heterogeneity and other environmental factors, such as temperature and pH, should be considered to make the model applicable to commercial fermentations.
我们研究了在酸菜发酵过程中使用发酵剂从而减少该过程中盐用量的可能性。这反过来又会减少进入我们水资源中的废盐量。酸菜发酵过程中天然存在的噬菌体可能会对引入的发酵剂产生潜在影响。因此,我们开发了一个机理数学模型来量化噬菌体和发酵剂的生长动力学。该模型通过对从酸菜中分离出的两株肠系膜明串珠菌及其相应噬菌体进行独立实验得到了验证。模型模拟和实验证据表明,即使在MRS培养基中初始噬菌体密度(P(0))和感染复数(MOI)较低(P(0) < 1 x 10(3) PFU/ml;MOI < 10(-4))时,发酵剂培养物中也存在抗噬菌体细胞群体,这些细胞群体取代了噬菌体敏感细胞。基于模型模拟和参数优化结果,有人提出噬菌体 - 宿主相互作用的动力学参数,尤其是吸附速率,会随初始噬菌体和宿主密度以及时间而变化。该模型在MRS肉汤中得到了验证。因此,为使该模型适用于商业发酵,应考虑非均质性和其他环境因素(如温度和pH值)的影响。