From biocidal coatings to medicines: A nanocomposite sting for microorganisms
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Jun-2026 09:16 ET (25-Jun-2026 13:16 GMT/UTC)
A surface capable of responding to chemical signals generated by microorganisms and automatically producing biocidal substances – this is not a futuristic vision, but a description of how the B-STING silica nanocomposite works. The new material, developed at the Institute of Nuclear Physics Polish Academy of Sciences in Cracow, acts as a nanofactory of reactive oxygen species, activating itself only when necessary.
A team led by researchers at Chalmers University of Technology, Sweden, has succeeded in identifying biomarkers for Parkinson’s disease in its earliest stages, before extensive brain damage has occurred. The biological processes leave measurable traces in the blood, but only for a limited period. The discovery thus reveals a window of opportunity that could be crucial for future treatment, but also for early diagnosis via blood tests, which could begin to be tested in healthcare within five years.
New Edith Cowan University (ECU) research has explored how facial filters, pop culture and centuries-old stereotypes are shaping how people see their faces.
Modern kangaroos did not evolve immediately after the rainforest contracted
The kangaroo family tree has had two major expansions in the past nine million years
Only the wombats remain from the once dominant large herbivores whose extinction coincided with the rise of modern kangaroos and wallabies
Scientists have developed a 3D, AI-based tool for viewing hearing cells. To understand hearing damage from noise and aging, and develop new treatments, scientists need detailed images of hair cells. The new VASCilia tool uses deep learning to accelerate sensory cell image processing and analysis.
Why do some groups get smarter together while others collapse into groupthink? New research from University of Pennsylvania theoretical biologist Joshua Plotkin and collaborators show that collective intelligence doesn’t emerge by rewarding the most accurate individuals but by rewarding those who improve the group’s prediction as a whole.