基于挥发性盐基氮的油坛肉货架期预测
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1.西华大学食品与生物工程学院,四川 成都 611743;2.德昌茂源长童耳朵食品有限公司,四川 凉山 615500

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邢亚阁(1980—),男,西华大学教授,博士。E-mail:xingyage1@aliyun.com

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四川省科技计划项目—跨区域创新合作项目(编号:2024YFHZ0207)


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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    摘要:

    目的 建立基于挥发性盐基氮(TVB-N)的油坛肉货架期预测模型。方法 测定4,25,37 ℃贮藏条件下油坛肉的水分活度、pH值、TVB-N值、硫代巴比妥酸(TBARS值)、过氧化值(POV值)及感官品质变化,结合一级动力学模型与Arrhenius方程进行综合分析。结果 贮藏温度显著影响油坛肉品质劣变速率,TVB-N值与贮藏时间呈强相关性(R2=0.992),选定其为关键指标构建货架期预测模型。结合Arrhenius方程(R2=0.956,Ea=19 809.28 kJ/mol),预测油坛肉在4,25,37 ℃下的货架期分别为327,178,130 d,预测值与实测值相对误差分别为±2.9%,±8.1%,±1.8%。结论 基于TVB-N的模型可精准预测不同温度下油坛肉货架期,且填补了传统腌腊肉制品货架期定量预测的空白。

    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,2025,41(12):108-116.
HE Li, DAN Li, DIAO Shangpeng, et al. Shelf-life prediction of oil-preserved meat based on volatile basic nitrogen[J]. Food & Machinery,2025,41(12):108-116.

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  • 收稿日期:2025-03-19
  • 最后修改日期:2025-08-09
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  • 在线发布日期: 2026-01-13
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