University of Alabama
Explore University of Alabama's available technologies.
Solid-Matrix Microcapsules for Protecting and Delivering Lipophilic Bioactives
We developed a food-grade encapsulation platform to turn sensitive, oil-soluble bioactives into dry, solid-matrix microcapsules. Initially focused on carotenoids, the platform is intended to enable functional powder ingr...
Mild fractionation and depolymerization technology for converting spent peels into high-value bioproducts
A patented biomass fractionation technology using glycerol-derived ethers (GDEs) as tunable solvents to selectively convert spent peels into valuable product streams, including refined cellulose, pectins, proteins, sugar...
Magnetic Screening Nanoplatform for Identifying GLUT5 Inhibitors or Activators
A cell-membrane-coated magnetic nanoparticle platform designed to screen compound mixtures for molecules that bind GLUT5 receptors, enabling discovery of GLUT5 inhibitors or activators. The approach preserves native tran...
Electrified in-situ selenium remediation
A bioelectrochemical reduction-oxidation permeable barrier system that reduces selenate to elemental selenium while preventing arsenic remobilization. This system uses electricity, powered by solar panels, and operates i...
Microwave imaging with machine learning for foreign object detection in food
A microwave imaging system enhanced by machine learning for detecting foreign objects in food. It offers a non-invasive, safe, and contactless method to inspect food quality and safety by identifying contaminants like me...
Multimodal deep learning for real-time cocoa bean sorting
An advanced cocoa bean sorting solution leveraging multimodal deep learning, integrating microwave imaging and computer vision for rapid and accurate real-time identification and separation of cocoa bean fractions on pro...
Eyeglass-based simultaneous eating, activity, and energy-expenditure sensing
The Automatic Ingestion Monitor (AIM-2) is an eyeglass-mounted wearable platform that passively tracks dietary intake and physical activity. By combining non-contact chewing sensors, gaze-aligned imagery, and advanced AI...
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