Zhou Kang, Zeng Yi-Ting, Han Xin-Feng, Liu Shu-Liang
College of Food Science, Sichuan Agricultural University, No. 46 Xin Kang Lu, Yu Cheng District, Yaan, 625014, China,
Appl Biochem Biotechnol. 2015 Jul;176(6):1627-37. doi: 10.1007/s12010-015-1666-3. Epub 2015 May 19.
The use of bacteriocin-producing probiotics to improve food fermentation processes seems promising. However, lack of fundamental information about their functionality and specific characteristics may hinder their industrial use. Predictive microbiology may help to solve this problem by simulating the kinetics of bacteriocin-producing strains and optimising the cell growth and production of beneficial metabolites. In this study, a combined model was developed which could estimate, from a given initial condition of temperature and pH, the growth and bacteriocin production of Lactobacillus plantarum BC-25 in MRS broth. A logistic model was used to model the growth of cells, and the Luedeking-Piret model was used to simulate the biomass and bacteriocin production. The parameters generated from these primary models were used in a response surface model to describe the combined influence on cell growth, biomass and bacteriocin production. Both the temperature and pH influenced cell and bacteriocin production significantly. The optimal temperature and pH for cell growth is 35 °C and 6.8, and the optimal bacteriocin production condition is a range dependent on two growth-associated constants (YA/X and K), where temperature is from 27 to 34 °C, and pH is 6.35 to 6.65. The developed model is consistent with similar studies and could be a useful tool to control and increase the production of lactic acid bacteria in bioreactors.
使用产细菌素的益生菌来改善食品发酵过程似乎很有前景。然而，缺乏关于其功能和具体特性的基础信息可能会阻碍它们在工业上的应用。预测微生物学或许有助于解决这一问题，通过模拟产细菌素菌株的动力学并优化细胞生长和有益代谢产物的产生。在本研究中，开发了一个组合模型，该模型能够根据给定的温度和pH初始条件，估算植物乳杆菌BC - 25在MRS肉汤中的生长和细菌素产量。使用逻辑模型对细胞生长进行建模，并用Luedeking - Piret模型模拟生物量和细菌素产量。从这些初级模型生成的参数被用于响应面模型，以描述对细胞生长、生物量和细菌素产量的综合影响。温度和pH均对细胞和细菌素产量有显著影响。细胞生长的最佳温度和pH分别为35°C和6.8，细菌素产生的最佳条件是一个取决于两个生长相关常数（YA/X和K）的范围，其中温度为27至34°C，pH为6.35至6.65。所开发的模型与类似研究结果一致，并且可能是控制和提高生物反应器中乳酸菌产量的有用工具。
