Implementation of an artificial neural network as a PAT tool for the prediction of temperature distribution within a pharmaceutical fluidized bed granulator

What is it about?

In this study, a novel in-line measurement technique of the air temperature distribution during a granulation process using a conical fluidized bed was designed and built for the purpose of measuring the temperature under the Process Analytical Technology (PAT) and introduced to predict the establishment of temperature profiles.

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Why is it important?

The model's testing results showed a strong prediction capacity of the effects of process variables. Indeed, the predicted temperature values obtained with the ANN model were in good agreement with the values measured with in-line reference method and hence the method can have an application as a predictive control tool.