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Dynamic Modeling Application To Evaluate the Performance of Spathaspora passalidarum in Second-Generation Ethanol Production: Parametric Dynamics and the Likelihood Confidence Region
Industrial & Engineering Chemistry Research ( IF 4.2 ) Pub Date : 2021-09-15 , DOI: 10.1021/acs.iecr.1c02299
Fernan Martinez-Jimenez 1, 2 , Marcelo Perencin de Arruda Ribeiro 3 , Cintia Regina Sargo 2 , Jaciane Lutz Ienczak 4 , Edvaldo Rodrigo Morais 2 , Aline Carvalho da Costa 1
Affiliation  

Lignocellulosic materials and agro-industrial residues are essential in a sustainable biorefinery. The effective fermentation of renewable sugars is still an important challenge for an economically viable production of biofuels and biochemicals. This challenge involves biological aspects, such as choosing the microbial platform, and industrial aspects. These aspects can be assessed employing mathematical models to understand the complex synergies between the microorganism and processes. In this work, the performance of the yeast Spathaspora passalidarum was evaluated for the fermentation of xylose and glucose at different proportions, initial concentrations, and initial cell densities using an unstructured–unsegregated kinetic model. The likelihood confidence region, correlations between the parameters, and the convergence of the parameters through the optimization process were identified. It was also possible to identify that πXyl, max, μGlu, max, KS, Xyl, YPEth/SGlu, YPEth/SXyl, and YX/SGlu were the most representative parameters, due to the high correlation (positive and negative) they have with the other model parameters. It was also possible to identify how initial substrate concentrations affected the specific uptake substrate and ethanol production rates; in this sense, the increase in the glucose concentration causes a decrease in the specific ethanol formation rate at a high concentration of xylose for S. passalidarum cultivated in the conditions proposed by this study.

中文翻译:

评估 Spathaspora passalidarum 在第二代乙醇生产中的性能的动态建模应用:参数动力学和似然置信区域

木质纤维素材料和农业工业残留物对于可持续的生物精炼厂至关重要。可再生糖的有效发酵仍然是经济可行的生物燃料和生物化学品生产的重要挑战。这一挑战涉及生物学方面,例如选择微生物平台和工业方面。可以使用数学模型评估这些方面,以了解微生物和过程之间的复杂协同作用。在这项工作中,酵母Spathaspora passalidarum的表现使用非结构化-非分离动力学模型对不同比例、初始浓度和初始细胞密度的木糖和葡萄糖的发酵进行了评估。通过优化过程确定似然置信区域、参数之间的相关性以及参数的收敛性。还可以确定 π Xyl, max , μ Glu, max , K ' S , Xyl , Y ' P Eth/ S Glu , Y ' P Eth/ S XylY ' X/S Glu是最具代表性的参数,因为它们与其他模型参数具有高相关性(正相关和负相关)。还可以确定初始底物浓度如何影响特定吸收底物和乙醇生产速率;从这个意义上说,葡萄糖浓度的增加导致在本研究提出的条件下培养的S. passalidarum在高浓度木糖下的比乙醇形成率降低。
更新日期:2021-09-29
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