Modelling, responses and applications of time-temperature indicators (TTIs) in monitoring fresh food quality

Abstract

BackgroundReal-time temperature monitoring during cold chain logistics is critical because refrigerated foods are sensitive to temperature fluctuations. Time-temperature indicators (TTIs) are effective tools for monitoring the temperature history of food products in real-time. These technologies have been widely used in fresh food management, showing great potential to reduce food waste, ensure food safety, and achieve realistic control of the cold chain and cold storage of foods. Scope and approachThis review presents commonly used modelling methods for TTIs establishment, including reaction rate constant (k) and activation energy (Ea) determination and Ea matching. Through mathematical modelling, shelf-life of TTIs can be matched with shelf-life of target foods, making response changes of TTIs reflect food quality. For the first time, different apparent response types of TTIs are summarized, covering colour-based, acidity-based, diffusion length-based, and other responses-based TTIs. Besides, TTIs applications in cold chain management of fresh foods are also highlighted concerning dairy, meat and aquatic products, and vegetables. Key findings and conclusionsTTIs are effective temperature-sensitive monitoring tools and have been studied for monitoring various refrigerated fresh food products, especially for meat and aquatic products. Arrhenius equation is the most widely used mathematical modelling for matching kinetics of the food products and the TTI responses. Colour-based responses increasingly become the most popular response types of TTIs for the advantages of convenient and direct observation. The future trends of TTIs development should mainly focus on the integration of multiple quality indicators, constituent simplification, cost reduction, and modelling optimization.