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Review
. 2022 Feb:152:110918.
doi: 10.1016/j.foodres.2021.110918. Epub 2021 Dec 23.

Application of smart-phone use in rapid food detection, food traceability systems, and personalized diet guidance, making our diet more health

Affiliations
Review

Application of smart-phone use in rapid food detection, food traceability systems, and personalized diet guidance, making our diet more health

Tingting Ma et al. Food Res Int. 2022 Feb.

Abstract

As the concept of dietary health is gradually recognized by the public, on-the-spot monitoring of food safety and nutrition, tracing the source of food and individualized guidance of nutritional and healthy eating habits are becoming more and more important. The promotion and use of smartphones and their powerful functions have greatly changed our lives and are also expected to aid applications in food field. There are three types of applications of smartphones in terms of food: rapid food detection, food traceability systems, and personalized diet guidance. Rapid food testing is classified according to the types of test objects, including food quality and freshness, nutritional and functional ingredients, adulterated ingredients, food additives, enzyme activities, and harmful substances. The performance of detection methods and instruments is analyzed and their advantages and disadvantages are compared, determining the feasibility of a practical application. In addition, the process and principle of food traceability system in the field of food safety and individualized dietary guidance for different groups were analyzed based on practical examples. Finally, it analyzes the latest development of the application of smart phones in food and prospects the feasibility of the practical application in the future. It is expected to lay a theoretical foundation for the development of food-related fields such as rapid detection of food, tracing the source of food, and personal nutritional diet.

Keywords: Food traceability systems; Mobile phone; Personalized diet guidance; Rapid food detection.

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