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    Kinetic and hybrid modeling for yeast astaxanthin production under uncertainty

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    Authors
    Vega‐Ramon, Fernando; orcid: 0000-0001-7684-681X
    Zhu, Xianfeng
    Savage, Thomas R.; orcid: 0000-0001-8715-8369
    Petsagkourakis, Panagiotis; orcid: 0000-0002-2024-3371
    Jing, Keju; orcid: 0000-0002-9055-4781; email: jkj@xmu.edu.cn
    Zhang, Dongda; orcid: 0000-0001-5956-4618; email: dongda.zhang@manchester.ac.uk
    Publication Date
    2021-10-12
    Submitted date
    2021-03-22
    
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    Abstract
    Abstract: Astaxanthin is a high‐value compound commercially synthesized through Xanthophyllomyces dendrorhous fermentation. Using mixed sugars decomposed from biowastes for yeast fermentation provides a promising option to improve process sustainability. However, little effort has been made to investigate the effects of multiple sugars on X. dendrorhous biomass growth and astaxanthin production. Furthermore, the construction of a high‐fidelity model is challenging due to the system's variability, also known as batch‐to‐batch variation. Two innovations are proposed in this study to address these challenges. First, a kinetic model was developed to compare process kinetics between the single sugar (glucose) based and the mixed sugar (glucose and sucrose) based fermentation methods. Then, the kinetic model parameters were modeled themselves as Gaussian processes, a probabilistic machine learning technique, to improve the accuracy and robustness of model predictions. We conclude that although the presence of sucrose does not affect the biomass growth kinetics, it introduces a competitive inhibitory mechanism that enhances astaxanthin accumulation by inducing adverse environmental conditions such as osmotic gradients. Moreover, the hybrid model was able to greatly reduce model simulation error and was particularly robust to uncertainty propagation. This study suggests the advantage of mixed sugar‐based fermentation and provides a novel approach for bioprocess dynamic modeling.
    Citation
    Biotechnology and Bioengineering
    URI
    http://hdl.handle.net/10034/626087
    Type
    article
    Description
    From Wiley via Jisc Publications Router
    History: received 2021-03-22, rev-recd 2021-09-29, accepted 2021-09-30, pub-electronic 2021-10-12
    Article version: VoR
    Publication status: Published
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