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中国精品科技期刊2020
黄业传,王洋,苟兴能,等. 不同贮藏温度下两种发酵香肠品质变化及货架期预测模型的建立[J]. 食品工业科技,2022,43(7):343−351. doi: 10.13386/j.issn1002-0306.2021070158.
引用本文: 黄业传,王洋,苟兴能,等. 不同贮藏温度下两种发酵香肠品质变化及货架期预测模型的建立[J]. 食品工业科技,2022,43(7):343−351. doi: 10.13386/j.issn1002-0306.2021070158.
HUANG Yechuan, WANG Yang, GOU Xingneng, et al. The Quality Changes of Two Fermented Sausages under Different Storage Temperatures and the Establishment of Prediction Models for Their Shelf Life[J]. Science and Technology of Food Industry, 2022, 43(7): 343−351. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070158.
Citation: HUANG Yechuan, WANG Yang, GOU Xingneng, et al. The Quality Changes of Two Fermented Sausages under Different Storage Temperatures and the Establishment of Prediction Models for Their Shelf Life[J]. Science and Technology of Food Industry, 2022, 43(7): 343−351. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070158.

不同贮藏温度下两种发酵香肠品质变化及货架期预测模型的建立

The Quality Changes of Two Fermented Sausages under Different Storage Temperatures and the Establishment of Prediction Models for Their Shelf Life

  • 摘要: 对玫瑰低硝半干发酵肠(M)和传统半干发酵肠(P)在3个温度(4、25、35 ℃)贮藏过程中的品质变化进行了评价,并运用动力学和Arrhenius方程建立了两种发酵肠货架期预测模型。研究表明,温度对两组香肠的红度值和质构特性影响较大,在贮藏期间,各贮藏温度下的酸价、挥发性盐基氮(total volatile basic nitrogen,TVB-N)值和菌落总数( total viable count,TVC)随贮藏时间推移而升高,且温度越高变化越快;以TVB-N值和TVC为关键因子建立动力学模型,并结合Arrhenius方程构建两种发酵肠的货架期预测模型,P发酵肠的TVB-N值和TVC预测模型中活化能Ea分别为52.37 kJ/mol和43.39 kJ/mol,指前因子k0分别为69859734.72、8806494.34;M发酵肠的TVB-N值和TVC预测模型中活化能Ea分别为46.46 kJ/mol和43.53 kJ/mol,指前因子K0分别为5373553.61和8016399.99。选取4、30 ℃验证模型可靠性,两种发酵肠货架期理论值与实测值的相对误差在11.18%以内,可准确预测4~35 ℃范围内的货架期。此外,在不同贮藏温度下M发酵肠的品质均优于P发酵肠,并具有较长的保质期限。

     

    Abstract: The quality changes of rose low-nitrate semi-dry fermented sausage (M) and traditional semi-dry fermented sausage (P) during storage at 3 temperatures (4, 25, 35 °C) were evaluated in this study. Then, the kinetic and the Arrhenius equation were used to establish the prediction models for the shelf life of fermented sausages. Studies had shown that temperature had a greater impact on the redness value and texture characteristics of the two groups of sausages. During storage, the acid value, total volatile basic nitrogen (TVB-N) value and total viable count (TVC) at each storage temperature increased with the storage time, and the higher temperature, the more obvious the change trend. The kinetic model was established with TVB-N value and TVC as the key factors, and combined with the Arrhenius equation, the shelf life prediction models of two fermented sausages were constructed. In the TVB-N and TVC prediction models of fermented sausage P, the activation energy Ea was 52.37 kJ/mol and 43.39 kJ/mol, respectively, and the pre-explicit factor K0 was 69859734.72 and 8800494.34, respectively. In the TVB-N and TVC prediction models of fermented sausage M, the activation energy Ea was 46.46 kJ/mol and 43.53 kJ/mol, respectively, and the pre-exponential factor K0 was 5373553.61 and 8016399.99, respectively. 4 ℃ and 30 ℃ were selected as the verification temperature to test the reliability of the shelf life prediction model. The results showed that the relative error between the theoretical and measured shelf life of the two fermented intestines was within 11.18%, and could be used for shelf life prediction in the temperature range of 4 to 35 ℃. In addition, the quality of fermented sausage M was better than that of fermented sausage P, and had a longer shelf life.

     

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