dc.creatorIbáñez Espinel, Francisco
dc.creatorPuentes Cantor, Hernán Felipe
dc.creatorBarzaga Martell, Lisbel
dc.creatorSaa Higuera, Pedro
dc.creatorAgosin Trumper, Eduardo
dc.creatorPerez Correa, José Ricardo
dc.date.accessioned2024-05-08T17:20:57Z
dc.date.accessioned2024-07-17T21:27:14Z
dc.date.available2024-05-08T17:20:57Z
dc.date.available2024-07-17T21:27:14Z
dc.date.created2024-05-08T17:20:57Z
dc.date.issued2024
dc.identifier10.1016/j.compchemeng.2024.108706
dc.identifierhttps://doi.org/10.1016/j.compchemeng.2024.108706
dc.identifierhttps://repositorio.uc.cl/handle/11534/85511
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9509895
dc.description.abstractFed-batch cultures are the preferred operation mode for industrial bioprocesses requiring high cellular densities. Avoids accumulation of major fermentation by-products due to metabolic overflow, increasing process productivity. Reproducible operation at high cell densities is challenging (> 100 gDCW/L), which has precluded rigorous model evaluation. Here, we evaluated three phenomenological models and proposed a novel hybrid model including a neural network. For this task, we generated highly reproducible fedbatch datasets of a recombinant yeast growing under oxidative, oxygen-limited, and respiro-fermentative metabolic regimes. The models were reliably calibrated using a systematic workflow based on pre-and post-regression diagnostics. Compared to the best-performing phenomenological model, the hybrid model substantially improved performance by 3.6- and 1.7-fold in the training and test data, respectively. This study illustrates how hybrid modeling approaches can advance our description of complex bioprocesses that could support more efficient operation strategies
dc.languageen
dc.rightsacceso restringido
dc.subjectHybrid models
dc.subjectDynamic optimization
dc.subjectHigh-density cultures
dc.subjectOverflow metabolism
dc.subjectFed-batch fermentation
dc.subjectPhysics-informed neural networks
dc.titleReliable calibration and validation of phenomenological and hybrid models of high-cell-density fed-batch cultures subject to metabolic overflow
dc.typeartículo


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