基于化学反应和微生物生长的时间-温度指示器跨模型匹配方法

Multi-model Matching Method for Time-temperature Indicators Based on Chemical Reaction and Microbial Growth

时间-温度指示器(time-temperature indicator,TTI)作为一种指示货架期的智能标签,与被监测产品的匹配是其应用的关键。但TTI和被监测产品反应机理不同,二者最适拟合模型不尽相同,而传统匹配过程多采用统一模型和参数进行拟合和匹配,一定程度降低了模型拟合精度。基于等量线的TTI匹配方法是以某一品质变化片段在不同温度下的等效转换为基础,具有较好的模型兼容性。本研究利用公式推导验证了这一TTI匹配方法在化学动力学模型和多种不同微生物生长模型中的普适性,成功将这些模型结合,形成了TTI与被监测产品在这些模型间的跨模型匹配,并利用‘玫瑰香’葡萄硬度变化过程和罗非鱼微生物生长过程阐述了化学反应和微生物生长的规律,验证了等效转换参数的稳定性和基于等量线的TTI匹配方法的可行性。研究结果将有助于实现不同机制类型的TTI和被监测产品在多种化学反应动力学模型和微生物生长模型间的跨模型匹配,且匹配过程直观、简洁,有利于TTI的应用和推广。

Time-temperature indicators(TTI) are smart labels designed to indicate the shelf life of foods. The match between TTI and objects to be detected is critical for its application. The optimal fitting model between TTI and objects to be detected varies with different reaction mechanisms between them. In the traditional matching process, unified models and parameters are often used, reducing the goodness of fit of the models. In this study, a contour-based TTI matching method having good model compatibility is proposed based on the equivalent transformation of quality changes at a certain time interval at different temperatures. The TTI matching method’s general applicability for various chemical kinetic models and microbial growth models is confirmed by formula derivation. These models are successfully combined, forming a multi-model matching method. Besides, the stability of equivalent transition ratio(ETR) and the feasibility of the multi-model matching method are validated based on chemical reactions in the changing process of the firmness of Muscat grapes and microbial growth in tilapia. These results will help with multi-model matching of TTI with different working mechanisms based on various chemical kinetic models and microbial growth models in a simple and intuitive manner, which will promote the application and popularization of TTI.