Most studies on frozen foods’ deterioration focus on measurements of selected quality determining indices at the reference frozen storage conditions at limited time points (e.g., 6 and 12 months). This information is not sufficient to predict the frozen system behavior under a different storage temperature, or under the real, dynamic conditions of the actual cold chain. For this purpose, a systematic kinetic study is essential; additionally, the real uncertainty of model parameters needs to be taken into account, in order to proceed to realistic shelf life estimations. In this review work, published findings on kinetic data of deterioration of frozen food of plant origin were analyzed. Kinetic parameters (e.g., activation energy, shelf life, etc.) were extracted and some of them incorporated to a further investigation. The scope is to provide a critical assessment and a comprehensive meta-analysis of the literature information on quality loss modeling of frozen foods. Therefore, common quality indices for specific systems are reviewed, fundamental methodologies used to build kinetic models are assessed, and alternative approaches to improve practical applications of these models are proposed. Alternative methodologies are described in order to take into account the calculated uncertainty of models’ parameters when assessing the remaining shelf life of the product at any point within the cold chain. This was implemented in a FORTRAN code through a Monte Carlo scheme, on literature data of vitamin C loss in different frozen matrices, as well as for other quality indices (e.g., color). Results demonstrated the improved predictions obtained, with broader and more realistic confidence intervals.

关于冷冻食品变质的大多数研究都集中于在有限的时间点（例如6个月和12个月）在参考冷冻储存条件下对选定质量确定指标的测量。该信息不足以预测在不同存储温度或实际冷链的真实动态条件下的冻结系统行为。为此，必须进行系统的动力学研究。此外，还需要考虑模型参数的实际不确定性，以便进行实际的货架期估计。在这项审查工作中，分析了关于植物来源的冷冻食品变质动力学数据的公开发现。提取动力学参数（例如活化能，保质期等），并将其中一些参数纳入进一步研究。范围是对冷冻食品质量损失模型的文献信息进行严格的评估和全面的荟萃分析。因此，审查了特定系统的通用质量指标，评估了用于建立动力学模型的基本方法，并提出了改善这些模型的实际应用的替代方法。描述了替代方法，以便在评估产品在冷链内任何点的剩余货架寿命时，考虑到模型参数的计算不确定性。这是通过蒙特卡洛计划的FORTRAN代码，针对不同冷冻基质中维生素C损失的文献数据以及其他质量指标（例如颜色）进行的。结果表明获得了改进的预测，