National-Local Joint Engineering Laboratory of Intelligent Food Processing Technology and Equipment, Key Laboratory for Agro-Products Postharvest Handling of Ministry of Agriculture, Key Laboratory for Agro-Products Nutritional Evaluation of Ministry of Agriculture, Zhejiang Key Laboratory for Agro-Food Processing, Fuli Institute of Food Science, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China.
Ocean Research Center of Zhoushan, Zhejiang University, Zhoushan, 316021, China.
Sci Rep. 2018 Nov 7;8(1):16468. doi: 10.1038/s41598-018-33880-3.
Hairtail fish samples were stored at different freezing temperatures of -5 °C, -20 °C, -40 °C and -80 °C. To establish an effective quality evaluation approach for hairtail samples during frozen storage, fractal dimension was used to observe the porous microstructure that resulted from the ice crystal formation in frozen hairtail meat. The results showed that the initial value of fractal dimension of all the samples was 1.968. After frozen storage, the fractal dimension of samples at -5 °C, -20 °C, -40 °C and -80 °C decreased to 1.539, 1.682, 1.856 and 1.896, respectively. Traditional quality indicators such as water activity, color and textural properties (i.e., hardness, springiness and chewiness) also exhibited a similar decreasing trend, and the rate of change decreased with a decrease in storage temperature. The relationships were analyzed, and these traditional quality indicators were correlated with the fractal dimension with determined correlation coefficients within ±0.900. Moreover, based on the fractal dimension model, the first-order kinetic equation of fractal dimension variation during storage was [Formula: see text], which can be used to predict the shelf life of preserved hairtails at different storage temperatures. The results demonstrated fractal dimension was a novel and feasible method to evaluate the quality of hairtails in frozen storage.
带鱼样品分别储存在-5°C、-20°C、-40°C和-80°C的不同冷冻温度下。为了建立一种有效的冷冻带鱼品质评估方法,利用分形维数观察冰晶形成导致的冷冻带鱼多孔微观结构。结果表明,所有样品的分形维数初始值为 1.968。冷冻贮藏后,-5°C、-20°C、-40°C 和-80°C 贮藏带鱼样品的分形维数分别降低至 1.539、1.682、1.856 和 1.896。水分活度、色泽和质构特性(硬度、弹性和咀嚼性)等传统品质指标也呈现出相似的下降趋势,且随贮藏温度的降低,变化率降低。对这些指标进行了相关性分析,发现这些传统品质指标与分形维数具有确定的相关系数(在±0.900 范围内)。此外,基于分形维数模型,建立了贮藏过程中分形维数变化的一级动力学方程[公式:见正文],可用于预测不同贮藏温度下冷冻带鱼的货架期。结果表明,分形维数是评估冷冻带鱼品质的一种新颖而可行的方法。