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Food safety hinges on effective detection technology. Traditional methods, while somewhat destructive, also prove time-consuming, inefficient, cumbersome, and subjective. Hence, it is of great significance to explore non-destructive, swift and efficient detection technology for ensuring food safety and quality assessment. Multispectral imaging (MSI), an emerging non-destructive detection technology, features rapidity, non-destructiveness, and objectivity. It introduces a new method for expeditious and non-destructive detection in the food industry. This paper introduces the principles, advantages and disadvantages, and data analysis method of MSI technology and conducts a review of related research on the application of MSI technology at home and abroad in the fields of fruit quality assessment, vegetable grading, meat adulteration and aquatic product spoilage detection. In the end, the paper makes a summary and future outlook on the development of MSI technology in the non-destructive detection of internal and external food quality.

As an emerging information technology, big data has been widely used in all aspects of life. As for the application of big data technology in dietary nutrition and health, it revolves mainly around the combination of nutrition, medicine and other relevant disciplines, during which big data technology is adopted to mine and analyze data for the provision of personalized information services tailored to personal physiological indicators. With the core collection of Web of Science and CNKI Chinese database as data sources, and VOSviewer is applied in this paper to analyze the annual volume of publication and the keywords of relevant literature on big data as well as dietary nutrition and health published over the past 10 years. Then, the application of big data technology in the field of dietary nutrition and health and the challenges arising from this field are summarized and analyzed. Finally, the future trend of big data research in the field of dietary nutrition and health is indicated, which would provide guidance for the in-depth research and application of big data technology in this field.