Abstract
To ensure continuous innovations, food industries need tools which enable to predict physical-properties of food during a change of process or recipe. In this work, a thermodynamic model is suggested to predict pH and water activity of pork meat in presence of different additives such as salts or organic acids used in food industry. The predictions of pH and aw are satisfactory in a wide prediction domain, with a good accuracy. In add, a neural network mimetic of thermodynamic model is developed in order to facilitate the use of thermodynamic model and reduce calculation time.
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