Literature DB >> 29353704

Prediction of pH and aw of pork meat by a thermodynamic model: New developments.

Aïchatou Musavu Ndob1, André Lebert2.   

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Meat; Modeling; Neural network; Thermodynamic model; Water activity; pH

Mesh:

Substances:

Year:  2017        PMID: 29353704     DOI: 10.1016/j.meatsci.2017.11.017

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  3 in total

Review 1.  Recent trends and technological development in plasma as an emerging and promising technology for food biosystems.

Authors:  Catalina J Hernández-Torres; Yadira K Reyes-Acosta; Mónica L Chávez-González; Miriam D Dávila-Medina; Deepak Kumar Verma; José L Martínez-Hernández; Rosa I Narro-Céspedes; Cristóbal N Aguilar
Journal:  Saudi J Biol Sci       Date:  2021-12-16       Impact factor: 4.052

2.  A Bayesian Approach to Describe and Simulate the pH Evolution of Fresh Meat Products Depending on the Preservation Conditions.

Authors:  Ngoc-Du Martin Luong; Louis Coroller; Monique Zagorec; Nicolas Moriceau; Valérie Anthoine; Sandrine Guillou; Jeanne-Marie Membré
Journal:  Foods       Date:  2022-04-13

3.  Modelling desorption isotherm for durable meat products.

Authors:  Josef Bauer; Přemysl Richtr; Filip Beňo; Adam Tobolka; Rudolf Ševčík
Journal:  Heliyon       Date:  2022-10-01
  3 in total

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