Mathematical modeling was performed of rhamnose production in a batch process, with model validation and optimization of a continuous fixed bed process. The batch experiments were performed for 72 h in a rotary incubator at 27 ± 1.0 °C and 120 rpm, with an initial inoculum concentration of 3 g/L in 150 mL of soy molasses at 100 g/L. Parameter determination was performed using multiple response nonlinear regression, with integration of a set of differential equations, employing the Runge–Kutta algorithm and application of the Contois model. The model was fitted to the experimental data and the sum of squared residuals was 47.61. The fitted parameters were validated in an experiment employing a column operated continuously at a flow velocity of 0.288 cm/h (flow rate of 0.02 mL/min), applying the plug flow reactor (PFR) and axial dispersion models. The optimal conditions were determined by the graphical assessment of the response variable behavior. The best validation results were obtained for the axial dispersion model. The optimum velocity was 0.3 cm/h, with less significant improvements in productivity at higher flow rates, for the substrate concentration range studied.

在间歇过程中进行鼠李糖生产的数学建模，并进行模型验证和连续固定床过程的优化。分批实验在27±1.0°C和120 rpm的旋转培养箱中进行72 h，在150 g大豆糖蜜中100 g / L的初始接种物浓度为3 g / L。使用Runge–Kutta算法和Contois模型的应用，使用多响应非线性回归以及一组微分方程的集成来执行参数确定。将模型拟合到实验数据，残差平方和为47.61。在使用活塞流反应器（PFR）和轴向分散模型的条件下，使用以0.288 cm / h的流速（0.02毫升/分钟的流速）连续运行的色谱柱的实验对拟合参数进行了验证。最佳条件由响应变量行为的图形评估确定。对于轴向色散模型，获得了最佳的验证结果。对于所研究的底物浓度范围，最佳速度为0.3 cm / h，在较高流速下生产率的改善不明显。