CIFST-SIRIO Nutrition

Focus on the development of technologies to enhance the stability and efficacy of nutritional functional ingredients, including lutein, phosphatidylserine, and active folate, for beverages, confectionery, and other food applications.

Integrate AI and high-throughput screening technologies to identify commercially viable functional ingredients targeting impaired glucose and lipid metabolism, sleep disorders, and other related health conditions, and validate their mechanisms of action.

Investigate the modulatory effects of functional ingredients on novel biomarkers specific to middle-aged and older adults, and establish a quantifiable, application-oriented evaluation framework for healthy aging interventions.

Develop intelligent technologies for mining evidence from the history of traditional food use and grading the strength of evidence.

Establish standards for constructing evidence frameworks to substantiate health claims based on traditional wellness principles.

Develop novel methods for evaluating functional efficacy by integrating Traditional Chinese Medicine (TCM) syndrome differentiation with modern nutritional assessment indicators.

Leverage advanced AI technologies to develop a multimodal TCM constitution assessment model and corresponding intelligent hardware.

Build a multimodal database of TCM constitution profiles for the Chinese population and establish a closed-loop health management system integrating intelligent assessment, precision intervention, and data-driven innovation.