A surface-engineering platform for PDMS silicone that combines durable chemical functionalization with micro- and nanoscale architecture to control liquid spreading, pinning, and transfer on demand. The technology moves ...
An integrated AI and computational structural biology platform that ranks thousands of herbicide-tolerance enzyme mutations for stability, activity, and binding prior to wet-lab synthesis, shrinking candidate libraries t...
Clean electrocatalytic technology for selectively removing aldehydes, alcohols, and lactones from coconut water using recyclable electrodes. Produces only water and carbon dioxide, with no side products, and is designed ...
Streamlined one- to two-step synthesis of functionalized pyrones derived from fermentation products. These biobased compounds offer phenol-isostere behavior and strong polarity, enabling applications in pharmaceuticals, ...

A low-cost optical biosensing platform that detects endotoxins in continuous flow without traditional reagents, using functionalized gold nanoparticles and an LED-LDR optical setup. Designed for real-time monitoring in b...
A disposable, flow-through photonic crystal (FT-PC) sensor built on a porous anodized aluminum oxide membrane that captures endotoxin via an anti-endotoxin antibody. Designed for integration into IV tubing, it delivers f...
Research platform for developing high-performance, cost-effective compostable coatings and films using blended biobased polymers including PBS, PHA, PBAT, and PLA copolymers. Addresses key barriers in biobased packaging ...
Research program developing transgenic soybean and maize lines expressing cell wall modifying enzymes (acetyl and feruloyl esterases) to prime plants for biotic stress responses. Builds on demonstrated resistance to fung...
AI-driven geospatial modeling that produces fine-resolution soil property maps for precision agriculture. The approach uses multi-scale digital surface derivatives and machine learning to map soil organic matter, texture...
An optical detection solution that uses hyperspectral imaging combined with machine learning to identify and quantify acrylamide in drinking water. Aims to deliver a limit of quantification below 0.5 ppb in under 15 minu...