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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.

Sec. Sustainable Food Processing

Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1549287

This article is part of the Research TopicSustainable Drying Technologies for Foods: Enhancing Quality and Energy EfficiencyView all 8 articles

Advancing the thermodynamic approach with the predictive model for the freeze-drying of meat

Provisionally accepted
  • Aksaray University, Aksaray, Türkiye

The final, formatted version of the article will be published soon.

The establishment of innovative engineering techniques for meat products is required because of the significant energy requirements associated with freeze-drying of food products. This study is innovative application research on the freeze-drying of meat process and analyses energy efficiency by employing predictive statistical methods. Thermodynamic laws play a crucial role in the thermodynamic analysis of frozen food processes by regulating the essential operations involved in food production. The thermodynamic evaluation of the freeze-drying of meat process was carried out over a total of 40 scenarios covering 24 h (20 scenarios) and 30 h (20 scenarios). The energy efficiency in the 24 h process fluctuated between 38.7% and 43.1% over the 20 scenarios, whereas in the 30 h process, it varied from 36.9% to 41.1% throughout the 20 scenarios. The analysis revealed that the energy efficiency of the 24 h scenarios exceeded that of the 30 h scenarios, suggesting that 24 h is the optimum period for meat drying. This comparative assessment indicates that shortening the drying duration can deliver substantial energy savings without compromising process effectiveness. Future research will look at the application of this technology to enhance food quality and shelf life by applying a comparable freeze-drying technique to meat in various food industries.

Keywords: Freeze-drying, energy efficiency, Food Industry, Meat, predictive model

Received: 20 Dec 2024; Accepted: 28 Jul 2025.

Copyright: © 2025 Oztuna Taner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Oznur Oztuna Taner, Aksaray University, Aksaray, Türkiye

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