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首页> 外文期刊>Innovative Food Science & Emerging Technologies >Predictive modeling and selection of TTI smart labels for monitoring the quality and shelf-life of frozen seafood
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Predictive modeling and selection of TTI smart labels for monitoring the quality and shelf-life of frozen seafood

机译：TTI智能标签的预测建模和选择，用于监控冷冻海鲜的质量和保质期

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摘要

Time Temperature Integrators (TTI) are smart labels designed to monitor food product temperature history, individually and cost-efficiently, and reflect quality throughout the cold chain. The objectives were the kinetic modeling of frozen blueshark slices and arrow squid quality and the selection of suitable TTI for monitoring them in the frozen chain. The response of UV activatable photochromic and enzymatic TTI was studied and modeled as a function of intensity of UV-activation or enzyme concentration. The TTI response was tailored to the several months of products' shelf-life. Temperature dependence of the TTI response, expressed by activation energy values (E-a) of 110 to 120 kJ/mol, was in the required range for correlation to the products' quality indices in the dynamic frozen chain. Selected TTI predicted the remaining shelf-life at cold chain simulating temperatures and their effectiveness for monitoring the selected frozen seafood products was validated.
机译：时间温度积分器（TTI）是智能标签，旨在监视食品温度历史记录，并以成本有效的方式进行监视，并在整个冷链中反映质量。目的是对冷冻的蓝鲨切片和箭乌贼质量进行动力学建模，并选择合适的TTI来监测冷冻链中的鱼。研究了紫外线可激活的光致变色和酶促TTI的响应，并将其建模为紫外线激活强度或酶浓度的函数。 TTI响应是针对产品几个月的保质期量身定制的。 TTI响应的温度依赖性以110至120 kJ / mol的活化能值（E-a）表示，处于与动态冷冻链中产品质量指标相关的要求范围内。选定的TTI预测了在冷链模拟温度下的剩余货架寿命，并验证了它们在监测选定的冷冻海鲜产品中的有效性。

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