Shelf-life prediction of oil-preserved meat based on volatile basic nitrogen
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1.School of Food and Biological Engineering, Xihua University, Chengdu, Sichuan 611743, China;2.Dechang Maoyuanchang Tong'erduo Food Co., Ltd., Liangshan, Sichuan 615500, China

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    Abstract:

    Objective To establish a shelf-life prediction model for oil-preserved meat based on total volatile basic nitrogen (TVB-N).Methods Under the storage conditions of 4, 25, and 37 ℃, changes in the following parameters of oil-preserved meat are determined: water activity, pH value, TVB-N value, thiobarbituric acid (TBARS value), peroxide value (POV value), and sensory quality. A comprehensive analysis is conducted using the first-order kinetic model and the Arrhenius equation.Results Storage temperature significantly affects the quality deterioration rate of oil-preserved meat. The TVB-N value is closely correlated with storage time (R2=0.992) and is therefore selected as the key indicator to construct the shelf-life prediction model. Combined with the Arrhenius equation (R2=0.956, Ea=19 809.28 kJ/mol), the predicted shelf-lives of oil-preserved meat at 4, 25, and 37 ℃ are 327, 178, and 130 days, respectively. The relative errors between the predicted values and the measured values are ±2.9%, ±8.1%, and ±1.8%, respectively.Conclusion The TVB-N-based model can accurately predict the shelf-lives of oil-preserved meat at different temperatures, filling the gap in the quantitative shelf-life prediction of traditional cured meat products.

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何丽,但利,刁尚鹏,等.基于挥发性盐基氮的油坛肉货架期预测[J].食品与机械英文版,2025,41(12):108-116.

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History
  • Received:March 19,2025
  • Revised:August 09,2025
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  • Online: January 13,2026
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