Mathematical modeling of the batch kinetics of carotenoid production by Sporidiobolus salmonicolor CBS 2636

IF 3.4 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Jaqueline Sulkovski Mecca, Pihetra Oliveira Tatsch, Patrícia Griep, Rosicler Colet, Alexander Junges, Marco Antônio Sampaio Ferraz de Souza, Eunice Valduga
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引用次数: 0

Abstract

This study presents a mass conservation model to predict kinetics of carotenoid production by Sporidiobolus salmonicolor CBS 2636 in a batch bioreactor. Traditional models such as Monod and Levenspiel fail to account for unconsumed substrate during carotenoid synthesis. To address this limitation, an additional differential equation was incorporated into the mass balance, capturing residual substrate and improving predictions of product formation. The equations were implemented in Maple, and model parameters were adjusted using experimental data. The proposed model accurately predicted both carotenoid production and residual substrate (glucose) levels, achieving a maximum carotenoid concentration of 3418.9 μg/L at 90 h, and a specific production of 390 μg/g of cells. Although the Levenspiel model better fit the experimental data due to product inhibition effects, neither it nor the Monod model adequately described substrate consumption. The inclusion of a residual substrate equation significantly enhanced model accuracy. The results showed high glucose concentrations after 50 h, S. salmonicolor may utilize alternative carbon sources present in the medium—such as peptone or malt extract—for carotenoid biosynthesis. Although this hypothesis is supported by the observed metabolic behavior, further studies are needed to experimentally verify the contribution of these components. This work underscores the importance of advanced mathematical modeling for optimizing bioprocess control and highlights the need for improved monitoring strategies in biotechnology.

Abstract Image

沙门氏色孢子虫CBS 2636产类胡萝卜素批次动力学的数学建模
本研究提出了一个质量守恒模型来预测沙门氏色孢子虫CBS 2636在间歇式生物反应器中生产类胡萝卜素的动力学。传统的模型如Monod和Levenspiel不能解释类胡萝卜素合成过程中未消耗的底物。为了解决这一限制,在质量平衡中加入了一个额外的微分方程,捕获残留的底物并改进产品形成的预测。在Maple中实现了方程,并利用实验数据调整了模型参数。该模型准确预测了类胡萝卜素的产量和剩余底物(葡萄糖)水平,在90 h时达到了最大类胡萝卜素浓度3418.9 μg/L,细胞的特定产量为390 μg/g。虽然Levenspiel模型由于产物抑制效应较好地拟合实验数据,但它和Monod模型都没有充分描述底物消耗。残余衬底方程的加入显著提高了模型的精度。结果表明,在高葡萄糖浓度50h后,沙门氏菌可以利用培养基中存在的替代碳源,如蛋白胨或麦芽提取物,进行类胡萝卜素的生物合成。虽然观察到的代谢行为支持了这一假设,但需要进一步的研究来实验验证这些成分的贡献。这项工作强调了先进的数学建模对优化生物过程控制的重要性,并强调了改进生物技术监测策略的必要性。
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来源期刊
Biocatalysis and agricultural biotechnology
Biocatalysis and agricultural biotechnology Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
7.70
自引率
2.50%
发文量
308
审稿时长
48 days
期刊介绍: Biocatalysis and Agricultural Biotechnology is the official journal of the International Society of Biocatalysis and Agricultural Biotechnology (ISBAB). The journal publishes high quality articles especially in the science and technology of biocatalysis, bioprocesses, agricultural biotechnology, biomedical biotechnology, and, if appropriate, from other related areas of biotechnology. The journal will publish peer-reviewed basic and applied research papers, authoritative reviews, and feature articles. The scope of the journal encompasses the research, industrial, and commercial aspects of biotechnology, including the areas of: biocatalysis; bioprocesses; food and agriculture; genetic engineering; molecular biology; healthcare and pharmaceuticals; biofuels; genomics; nanotechnology; environment and biodiversity; and bioremediation.
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