ScienceDaily: Top Technology News

It could be a milestone on the path to detecting life on other planets: Scientists detect a key molecular property of all living organisms from a helicopter flying several kilometers above ground. The measurement technology could also open up opportunities for remote sensing of the Earth.

Researchers improve energy density in a novel electric vehicle battery - a step toward a more cost-effective, easily recycled battery that would allow EVs to travel farther and charge faster at a low cost.

The surface of a material often has properties that are very different from the properties within the material. An international research team has now succeeded in investigating the surfaces of transparent crystals using powerful irradiation from lasers.

An incredibly light new material can reduce aircraft engine noise and improve passenger comfort. The graphene oxide-polyvinyl alcohol aerogel weighs just 2.1kg per cubic meter, making it the lightest sound insulation ever manufactured.

Nanodecoys made from human lung spheroid cells (LSCs) can bind to and neutralize SARS-CoV-2, promoting viral clearance and reducing lung injury in a macaque model of COVID-19. By mimicking the receptor that the virus binds to rather than targeting the virus itself, nanodecoy therapy could remain effective against emerging variants of the virus.

To the human eye, most stationary objects appear to be just that -- still, and completely at rest. Yet if we were handed a quantum lens, allowing us to see objects at the scale of individual atoms, what was an apple sitting idly on our desk would appear as a teeming collection of vibrating particles, very much in motion.

Chemical engineers have answered longstanding questions about the underlying processes that determine the life cycle of liquid foams. The breakthrough could help improve the commercial production and application of foams in a broad range of industries.

Researchers have created an intelligent nanopore system sensitive enough to detect single SARS-CoV-2 virus particles. By training a machine-learning algorithm, the platform was able to identify between various coronaviruses in just five minutes. This work may lead to fast and accurate point-of-care testing for COVID and other communicable diseases.

The unique mechanical and optical properties found in the exoskeleton of a humble Asian beetle has the potential to offer a fascinating new insight into how to develop new, effective bio-inspired technologies.