Bioactive Byproduct Valorization Platform (Functional Food Development)

Agricultural and food-processing byproducts are often discarded, yet they are rich in health-promoting molecules. Our lab seeks to unlock this untapped potential by:

• Extracting, characterizing, and isolating bioactive compounds.

• Investigating their interactions within the food matrix.

• Studying structural transformations during processing and digestion.

• Elucidating mechanistic pathways by which bioactives prevent chronic disease.

Through these efforts, we transform residues such as grape pomace, olive oil press cake, and cereal byproducts into scientifically validated, evidence-based functional foods. This approach not only promotes sustainability but also creates a new nutrition platform that benefits both health and the environment.

Food-Based Delivery Systems (Engineered Food Molecules)

We design next-generation delivery platforms that reimagine food molecules as vehicles for targeted, controlled, and enhanced nutrient delivery. Through molecular engineering, bioactives are transformed into nano- and microparticles with improved stability and bioavailability. Our platforms include:

• Metal Organic Frameworks (MOFs): Embedding micronutrients such as iron into MOF structures to prevent degradation and improve absorption.

• Plant-derived exosomes: Leveraging natural vesicles for targeted transport of bioactives.

• Polysaccharide microspheres: Engineered particles for encapsulation and controlled release.

• Polyphenol nanospheres: Self-assembled structures that stabilize sensitive compounds.

These engineered systems are adaptable to diverse delivery routes—including intestinal, pulmonary, and nose-to-brain pathways—broadening the therapeutic horizons of food molecules.

Precision Nutrition System (Biosensor–AI–Fortification, BAF System)

To address individual variability in nutritional responses, we are developing a Precision Nutrition System that integrates biosensing, machine learning, and food fortification. This system aims to:

• Integrate diverse data including genomics, metabolomics, and microbiome profiles.

• Develop predictive AI models that capture inter-individual variation in nutrient absorption and metabolism.

• Design personalized interventions through targeted fortification strategies that optimize nutrient intake and improve health outcomes.

This research stream bridges food chemistry with artificial intelligence, paving the way for individualized, science-driven nutrition strategies that move beyond conventional dietary guidelines.