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Use of Non-linear Empirical Models to Predict the Substrate Degradation, Enzymatic Activity and Cell Growth in a Bioreactor with Aspergillus niger and Sugarcane Bagasse
Waste and Biomass Valorization ( IF 3.2 ) Pub Date : 2021-01-04 , DOI: 10.1007/s12649-020-01337-2
Thais C. Catelan , Laura M. Pinotti , Vinícius B. Soares

Abstract

The present study concerns to the evaluation of non-linear empirical logistic models applied to bioprocess modeling. The substrate degradation, as a function of fermentation time, enzymatic activity, as a function of substrate degradation, and cell growth, as a function of dissolved oxygen concentration were modeled using this proposed approach. Different concentrations of sugarcane bagasse (5, 10, 13, 15, and 20 g L−1) were used in a stirred tank bioreactor with Aspergillus niger. The parameter estimation, based on assays with 5, 10, 13 and 20 g L−1 of sugarcane bagasse, was performed by non-linear least square method and one assay with 15 g L−1 of sugarcane bagasse was used for models’ validation. The results obtained allow to conclude that sugarcane bagasse was efficient as carbon source for cellulases production, requiring no other carbon sources. The use of agricultural waste reduces the production costs of cellulases, making de process feasible. The non-linear empirical models proposed this work allowed to predict the variables. The use of these models could be encouraged to evaluate submerged fermentation's characteristics in new experimental works due to its mathematical simplicity and utility. Besides that, they can provide relevant information from the point of view of process control and optimization because they allow to infer about the inflection point which characterizes the maximum rate of variation of the function.

Graphic Abstract



中文翻译:

使用非线性经验模型预测带有黑曲霉和甘蔗渣的生物反应器中的底物降解,酶活性和细胞生长

摘要

本研究涉及应用于生物过程建模的非线性经验逻辑模型的评估。使用该提议的方法对作为发酵时间的函数的底物降解,作为底物降解的函数的酶活性和作为溶解氧浓度的函数的细胞生长进行了建模。在黑曲霉的搅拌槽生物反应器中使用了不同浓度的甘蔗渣(5、10、13、15和20 g L -1)。基于用5、10、13和20 g L -1的甘蔗渣进行测定的参数估计是通过非线性最小二乘法进行的,而一项测定是使用15 g L -1的测定进行的甘蔗渣的数量用于模型的验证。获得的结果可以得出结论,甘蔗渣是纤维素酶生产的有效碳源,不需要其他碳源。农业废料的使用降低了纤维素酶的生产成本,从而使处理可行。非线性经验模型建议这项工作可以预测变量。由于其数学上的简单性和实用性,可以鼓励在新的实验工作中使用这些模型来评估深层发酵的特性。除此之外,它们还可以从过程控制和优化的角度提供相关信息,因为它们可以推断出表征功能最大变化率的拐点。

图形摘要

更新日期:2021-01-04
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