Prediction of a model enzymatic acidolysis system using neural networks

Ozan Nazım Çiftçi; Sibel Fadıloǧlu; Fahrettin Göǧüş; Aytaç Güven

doi:10.3989/gya.2008.v59.i4.533

Autores/as

Ozan Nazım Çiftçi University of Gaziantep, Faculty of Engineering, Department of Food Engineering, Gaziantep
Sibel Fadıloǧlu University of Gaziantep, Faculty of Engineering, Department of Food Engineering, Gaziantep
Fahrettin Göǧüş University of Gaziantep, Faculty of Engineering, Department of Food Engineering, Gaziantep
Aytaç Güven University of Gaziantep, Faculty of Engineering, Department of Civil Engineering, Gaziantep

DOI:

https://doi.org/10.3989/gya.2008.v59.i4.533

Palabras clave:

acidólisis, lipasa específica sn-1, modelo explícito, redes neuronales

Resumen

En este estudio se presenta un modelo para la acidólisis de la trilinoleina y el ácido palmítico mediante la catálisis con una lipasa específica sn-1,3 inmovilizada. Un modelo basado en redes neuronales (NN) ha sido desarrollado para la predicción de la concentración de los principales productos de esta reacción (1-palmitoil-2,3-oleoil-glicerol (POO), 1,3-dipalmitoil-2-oleoil-glicerol (POP) y trioleina (OOO)). Se han usado como parámetros de entrada: la proporción del sustrato (SR), la temperatura de reacción (T) y el tiempo de reacción (t). La arquitectura óptima del modelo de NN propuesto, que consiste en una capa de entrada con tres entradas, una capa oculta con siete neuronas y una capa de salida con tres salidas, fue capaz de predecir la concentración de los productos de reacción con un error cuadrático medio (MSE) de menos de 1.5 y una R² de 0.999 . Se presenta una formulación explícita del modelo NN propuesto. Se obtienen muy buenos resultados en la predicción de la reacciones de acidólisis mediante el uso de las redes neuronales.

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Citas

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