This research investigates how microplastics and nanoplastics affect human cells. Using laboratory models that mimic the digestive system, it examines how particle size and concentration influence toxicity. The findings show that smaller particles are more harmful, providing evidence that can inform safety regulations and reduce human exposure to plastic pollution.

This research develops a theoretical framework for understanding electron–hole interactions in quantum dots, focusing on positive and negative trions. By analytically modeling their behavior under electric and magnetic fields, it bridges gaps between theory and experiment, supporting advances in quantum electronics, energy technologies, and targeted medical applications.

This research uses neutron scattering — “neutron vision” — to reveal the full structure of complex nanoparticles that X-rays can’t fully resolve. By developing statistical methods to optimise experiment design and analyse data, the project enables clearer structural insights, accelerating the development of advanced materials for energy, medicine and nanotechnology.

This research uses a scanning tunneling microscope to visualize and measure individual atoms using quantum tunneling. By mapping surfaces atom-by-atom and probing electronic properties, it advances technologies such as nanowires, superconductors, and atomic-scale chips. Understanding materials at the quantum level enables better design of devices that impact energy, computing, and sustainability.

Type 1 diabetes destroys insulin-producing cells, leaving patients dependent on lifelong injections. Islet transplants could provide freedom, but most cells die quickly. This research uses drug-loaded microparticles that protect transplanted islets, boosting survival, insulin production, and diabetes reversal. The approach could cut costs, reduce donor needs, and transform treatment for multiple diseases.

This research develops a low-cost water-monitoring system using nanofabricated diffraction surfaces and image analysis. As water flows over a “rainbow film,” distinct optical patterns reveal chemical or biological contaminants. The system has already detected dyes, algae, and particulates, offering a rapid, affordable tool for identifying pollution in water pipelines.