Department of Nutrition and Dietetics, 256756Istanbul Gedik University, Turkey.
Department of Food Science and Technology, 16735University of Cordoba, Spain.
Food Sci Technol Int. 2022 Dec;28(8):672-682. doi: 10.1177/10820132211049616. Epub 2021 Nov 2.
The main objective of the present study was to investigate the effect of storage temperature on aerobically stored chicken meat spoilage using the two-step and one-step modelling approaches involving different primary models namely the modified Gompertz, logistic, Baranyi and Huang models. For this purpose, growth data points of spp. were collected from published studies conducted in aerobically stored chicken meat product. Temperature-dependent kinetic parameters (maximum specific growth rate 'µ' and lag phase duration '') were described as a function of storage temperature through the Ratkowsky model based on the different primary models. Then, the fitting capability of both modelling approaches was compared taking into account root mean square error, adjusted coefficient of determination (adjusted-R) and corrected Akaike information criterion. The one-step modelling approach showed considerably improved fitting capability regardless of the used primary model. Finally, models developed from the one-step modelling approach were validated for the maximum growth rate data extracted from independent published literature using the statistical indexes Bias (B) and Accuracy (A) factors. The best prediction capability was obtained for the Baranyi model with B and A being very close to 1. The shelf-life of chicken meat as a function of storage temperature was predicted using both modelling approaches for the Baranyi model.
本研究的主要目的是使用两步法和一步法模型（涉及不同的基本模型，即修正的 Gompertz 模型、逻辑斯蒂模型、Baranyi 模型和 Huang 模型）来研究储存温度对有氧储存鸡肉腐败的影响。为此，从有氧储存鸡肉产品的已发表研究中收集了 spp.的生长数据点。通过基于不同基本模型的 Ratkowsky 模型，将温度相关的动力学参数（最大比生长速率'µ'和迟滞期持续时间' '）描述为储存温度的函数。然后，考虑均方根误差、调整后的确定系数（调整后的-R）和修正的 Akaike 信息准则，比较了两种建模方法的拟合能力。无论使用哪种基本模型，一步法建模方法都显示出了相当大的改进拟合能力。最后，使用统计指标偏差（B）和准确度（A）因子，从独立发表的文献中提取的最大生长速率数据，对一步法建模方法开发的模型进行了验证。Baranyi 模型的预测能力最佳，B 和 A 非常接近 1。使用两种建模方法，均预测了 Baranyi 模型作为储存温度函数的鸡肉货架期。
