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A batch culture of a eukaryotic microorganism operated in a bioreactor allows real-time measurements of some biological parameters and the collection samples to perform measurements to the parameters that can not be measured in real time. This article shows the results obtained from the application of an artificial neural red for the prediction of limitations in culture per batch in bioreactor for the biomass growth rate in the yeast P. Rhodozyma. The artificial neuronal network was built with a multi-layer architecture, written in Python language where the obtained data of pH, dissolved oxygen, biomass and crop reducing sugars per batch yielding a predictive capacity of 99 % for the biomass growth rate, evidencing as important predictive power of these tools for modern biotechnology.

Análisis metabólico predictivo en cultivos por lote en Bioreactor utilizando redes neuronales artificiales