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A Model Describing Debaryomyces hansenii Growth and Substrate Consumption During a Smear Soft Cheese Deacidification and Ripening

机译:描述涂污软奶酪脱酸和成熟过程中汉逊酵母菌生长和底物消耗的模型

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摘要

A mechanistic model for Debaryomyces hansenii growth and substrate consumption, lactose conversion into lactate by lactic acid bacteria, as well as lactose and lactate transfer from the core toward the rind was established. The model described the first step (14 d) of the ripening of a smear soft cheese and included the effects of temperature and relative humidity of the ripening chamber on the kinetic parameters. Experimental data were collected from experiments carried out in an aseptic pilot scale ripening chamber under 9 different combinations of temperature (8,12, and 16℃) and relative humidity (85, 93, and 99%) according to a complete experimental design. The model considered the cheese as a system with 2 compartments (rind and core) and included 5 state evolution equations and 16 parameters. The model succeeded in predicting D. hansenii growth and lactose and lactate concentrations during the first step of ripening (curd deacidification) in core and rind. The nonlinear data-fitting method allowed the determination of tight confidence intervals for the model parameters. The residual standard error (RSE) between model predictions and experimental data was close to the experimental standard deviation between repeated experiments.
机译:建立了汉逊德巴利酵母生长和底物消耗,乳酸菌将乳糖转化为乳糖以及乳糖和乳酸从核心向果皮转移的机制模型。该模型描述了涂抹软奶酪成熟的第一步(14 d),并包括了成熟室的温度和相对湿度对动力学参数的影响。根据完整的实验设计,在9种不同的温度(8、12和16℃)和相对湿度(85、93和99%)的组合下,在无菌中试规模的熟化室中进行的实验中收集实验数据。该模型将奶酪视为具有2个隔室(果皮和果皮)的系统,并包含5个状态演化方程和16个参数。该模型成功地预测了核心和外皮熟化(凝乳脱酸)第一步中的汉氏梭菌生长以及乳糖和乳酸浓度。非线性数据拟合方法可以确定模型参数的紧密置信区间。模型预测和实验数据之间的残留标准误差(RSE)接​​近重复实验之间的实验标准偏差。

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