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基于时间-温度指示仪RGB值的水果品质预测

Prediction of fruit quality based on the RGB values of time-temperature indicator.

作者信息

Yang Jiamin, Xu Yi

机构信息

Department of food science and engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.

出版信息

J Food Sci. 2021 Mar;86(3):932-941. doi: 10.1111/1750-3841.15518. Epub 2020 Nov 10.

DOI:10.1111/1750-3841.15518
PMID:33174252
Abstract

Time-temperature indicators (TTIs) are cost-efficient tools that may be used to predict food quality. In this paper, a diffusion TTI was used to predict fruit quality during storage. Both the color changing characters of TTI and the quality parameters, including weight loss, soluble solids content, vitamin C content, titratable acidity, and antioxidant capacity of three kinds of fruits (kiwifruit, strawberry, and mango), were investigated for storage temperatures (5, 10, 15, and 20 °C). The relationships between the color changing properties and fruit quality parameters have been built based on the activation energy (E ). The results showed that the storage temperature and time had significant effects on the color changing of TTI and fruit quality. The RGB value of TTI decreased with time, and the higher the storage temperature, the faster the RGB value reduced. Also, the higher the storage temperature, the faster the fruit quality changed and the poorer they were. Furthermore, all of the differences of E between TTI color response and fruit quality change are less than 25 kJ/mol, which indicates that the TTI can be used to predict these fruit quality. Finally, prediction models were built and validated based on the RGB values of TTI. It provides the possibility for low-cost quality monitoring and has more application potential in food quality predicting. PRACTICAL APPLICATION: By monitoring the color change of diffuse time-temperature indicator (TTI) and the quality change of fruit, the feasibility of TTI for fruit quality monitoring was determined and the quality prediction model was established. The diffusion TTI and fruit quality prediction model can realize the monitoring and predicting of fruit quality based on the TTI, which provides a basis for the combination of TTI Quick Response Code and fruit quality monitoring, with a view to achieving fruit quality status by scanning the Quick Response Code of TTI with mobile phones in the future. This method may provide a new solution to monitor the fruit quality during storage and distribution based on visualization technology that can simplify the methods of detecting fruit quality and achieve fast quality detection. It provides the possibility for low-cost quality monitoring and has more application potential in food quality predicting. Further studies on diffusion TTI are needed to develop its application in more field of food and make the diffusion TTI an intelligent mean for food quality monitoring and predicting.

摘要

时间 - 温度指示仪(TTIs)是一种经济高效的工具,可用于预测食品质量。本文中,采用了一种扩散型TTI来预测水果在储存期间的品质。研究了在5、10、15和20℃的储存温度下,TTI的颜色变化特征以及三种水果(猕猴桃、草莓和芒果)的质量参数,包括失重、可溶性固形物含量、维生素C含量、可滴定酸度和抗氧化能力。基于活化能(E)建立了颜色变化特性与水果质量参数之间的关系。结果表明,储存温度和时间对TTI的颜色变化和水果质量有显著影响。TTI的RGB值随时间降低,储存温度越高,RGB值降低越快。此外,储存温度越高,水果质量变化越快且越差。此外,TTI颜色响应与水果质量变化之间的所有E差异均小于25kJ/mol,这表明TTI可用于预测这些水果的质量。最后,基于TTI的RGB值建立并验证了预测模型。它为低成本质量监测提供了可能性,并且在食品质量预测方面具有更大的应用潜力。实际应用:通过监测扩散型时间 - 温度指示仪(TTI)的颜色变化和水果的质量变化,确定了TTI用于水果质量监测的可行性并建立了质量预测模型。扩散型TTI和水果质量预测模型可以基于TTI实现对水果质量的监测和预测,这为TTI二维码与水果质量监测的结合提供了依据,以期未来通过手机扫描TTI二维码实现水果质量状况的获取。该方法可能为基于可视化技术的水果在储存和流通期间的质量监测提供一种新的解决方案,能够简化水果质量检测方法并实现快速质量检测。它为低成本质量监测提供了可能性,并且在食品质量预测方面具有更大的应用潜力。需要对扩散型TTI进行进一步研究,以拓展其在更多食品领域的应用,使扩散型TTI成为食品质量监测和预测的智能手段。

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