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A Combined Model To Predict the Functionality of the Bacteriocin-Producing Lactobacillus sakei Strain CTC 494

机译:预测产细菌素的乳酸杆菌菌株CTC 494功能的组合模型

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摘要

The use of bacteriocin-producing lactic acid bacteria for improved food fermentation processes seems promising. However, lack of fundamental knowledge about the functionality of bacteriocin-producing strains under food fermentation conditions hampers their industrial use. Predictive microbiology or a mathematical estimation of microbial behavior in food ecosystems may help to overcome this problem. In this study, a combined model was developed that was able to estimate, from a given initial situation of temperature, pH, and nutrient availability, the growth and self-inhibition dynamics of a bacteriocin-producing Lactobacillus sakei CTC 494 culture in (modified) MRS broth. Moreover, the drop in pH induced by lactic acid production and the bacteriocin activity toward Listeria as an indicator organism were modeled. Self-inhibition was due to the depletion of nutrients as well as to the production of lactic acid. Lactic acid production resulted in a pH drop, an accumulation of toxic undissociated lactic acid molecules, and a shift in the dissociation degree of the growth-inhibiting buffer components. The model was validated experimentally.
机译:产生细菌素的乳酸菌在改善食品发酵过程中的应用看来很有希望。然而,缺乏关于在食品发酵条件下产生细菌素的菌株的功能的基本知识会妨碍其工业应用。对食品生态系统中微生物行为的预测性微生物学或数学估算可能有助于克服这一问题。在这项研究中,开发了一个组合模型,该模型能够根据给定的温度,pH和养分可利用性的初始情况,估算(改良的)产细菌素的乳酸杆菌CTC 494培养物的生长和自抑制动力学。 MRS汤。此外,模拟了由乳酸产生引起的pH下降和针对指示菌的利斯特氏菌的细菌素活性。自我抑制是由于营养物质的消耗以及乳酸的产生。乳酸的产生导致pH降低,有毒的未解离的乳酸分子的积累,以及抑制生长的缓冲液组分的解离度的变化。该模型已通过实验验证。

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