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Chinese Agricultural Science Bulletin ›› 2025, Vol. 41 ›› Issue (26): 70-82.doi: 10.11924/j.issn.1000-6850.casb025-0728

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New Technologies for Analysis and Functional Evaluation of Food Nutritional Components

ZHANG Ke(), LI Guannan, LI Dapeng()   

  1. College of Food Science and Engineering, Shandong Agricultural University, Taian, Shandong 271018
  • Received:2025-09-01 Revised:2025-09-01 Online:2025-10-12 Published:2025-10-12

Abstract:

With the implementation and advancement of the Healthy China 2030 Plan and the National Nutrition Plan, the analysis and functional evaluation of nutritional components in foods have become a forefront research focus in food science. To gain an in-depth understanding of domestic and international development trends in this field, the latest applications of various detection technologies, including spectroscopic analysis, electrochemical methods, and biosensing, for analyzing functional food components were systematic reviewed. The progress of emerging technologies, including organoid models, humanized animal models, multi-omics analysis, and smart wearable devices in functional assessment and health evaluation, was also elaborated. Globally, the field is rapidly moving toward precision, personalization, and intelligence. In contrast, domestic efforts still face challenges such as relatively low analytical efficiency, unclear mechanisms of action of nutritional components, and an immature technological system for health assessment. Based on international trends and domestic needs, several innovative pathways are proposed: developing rapid and efficient detection technologies using novel nanomaterials; optimizing organoid and humanized animal models combined with multi-omics approaches to systematically elucidate the health mechanisms of specific food components; and creating new wearable technologies integrated with AI and big data analytics to analyze the impact of nutritional components on health, thereby enabling precise nutrition guidance and scientific health management.

Key words: food nutrition, functional evaluation, precision nutrition, intelligent detection, multi-omics technology, health assessment