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在不同温度下,采用高浓度细胞和高浓度葡萄糖进行分批补料乙醇发酵的数学建模。

Mathematical Modeling of Fed-Batch Ethanol Fermentation Under Very High Gravity and High Cell Density at Different Temperatures.

机构信息

Graduate Program of Chemical Engineering, Federal University of São Carlos, C.P. 676, São Carlos, SP, 13565-905, Brazil.

出版信息

Appl Biochem Biotechnol. 2022 Jun;194(6):2632-2649. doi: 10.1007/s12010-022-03868-x. Epub 2022 Mar 2.

Abstract

The use of more appropriate kinetic models can assist in improving ethanol fermentation under conditions of very high gravity (VHG) and high cell density (HCD), in order to obtain higher amounts of ethanol in the broth combined with high productivity. The aim of this study was to model fed-batch ethanol fermentation under VHG/HCD conditions, at different temperatures, considering three types of inhibition (substrate, ethanol, and cells). Fermentations were carried out using different temperatures (28 ≤ [Formula: see text] (°C) ≤ 34), inoculum sizes (50 ≤ [Formula: see text] (g L) ≤ 125), and substrate concentrations in the must (258 ≤ [Formula: see text] (g L) ≤ 436). In the proposed model, the cell inhibition power parameter varied with the temperature and inoculum size, while the cell yield coefficient varied with inoculum size and substrate concentration in the must. Hence, it was possible to propose correlations for the cell inhibition power parameter ([Formula: see text]) and for the cell yield coefficient ([Formula: see text]), as functions of the fermentation conditions. Simulations of fed-batch ethanol fermentations at different temperatures, under VHG/HCD conditions, were performed using the proposed correlations. Experimental validation showed that the model was able to accurately predict the dynamic behavior of the fermentations in terms of the concentrations of viable cells, total cells, ethanol, and substrate.

摘要

在高浓度(VHG)和高密度(HCD)条件下,使用更合适的动力学模型可以帮助提高乙醇发酵水平,从而在发酵液中获得更高的乙醇产量和更高的生产力。本研究旨在不同温度下,针对三种抑制类型(基质、乙醇和细胞),对 VHG/HCD 条件下分批补料乙醇发酵进行建模。发酵采用不同温度(28 ≤ [Formula: see text] (°C) ≤ 34)、接种量(50 ≤ [Formula: see text] (g L) ≤ 125)和基质浓度(258 ≤ [Formula: see text] (g L) ≤ 436)进行。在所提出的模型中,细胞抑制能力参数随温度和接种量的变化而变化,而细胞产率系数随接种量和基质浓度的变化而变化。因此,可以提出细胞抑制能力参数 ([Formula: see text]) 和细胞产率系数 ([Formula: see text]) 的相关性,作为发酵条件的函数。使用所提出的相关性对不同温度下 VHG/HCD 条件下分批补料乙醇发酵进行模拟。实验验证表明,该模型能够准确预测发酵过程中活细胞、总细胞、乙醇和基质浓度的动态行为。

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