New spectroscopic technique for studying nanostructures demonstrates that stibnite nanodots can act as high-optical-quality waveguides and are promising candidates as photoswitchable materials for future applications.
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Nanodots made of photovoltaic material support waveguide modes

New spectroscopic technique for studying nanostructures demonstrates that stibnite nanodots can act as high-optical-quality waveguides and are promising candidates as photoswitchable materials for future applications.
 
 

Hip fracture risk linked to nanoscale bone inflexibility

The study found that flexibility, as well as density, in the bone nanostructure is an important factor in assessing how likely someone is to suffer fractures.
 
 

New graphene device can measure toxic lead within minutes

Researchers create portable lab-on-a-chip that could detect many contaminants.
 
 

Unconventional gold nano-crystals reveal their inner structure

Gold nanoparticles can be better catalysts if their atoms are packed differently from the conventional arrangement. This alternate inner structure leads to different inherent properties.
 
 

Nanotechnology for explosives trace detection

Explosive trace detection (ETD) is a challenging task. Various factors, such as wide variety of compounds that can be used as explosives, the vast number of deployment means, and the lack of inexpensive sensors providing both high sensitivity and selectivity, have made trace detection a complex and costly task. Whereas animals still remain a benchmark for emerging technologies with key attributes being high selectivity, sensitivity, concurrent detection of multiple analytes, and fast screening times, it is likely that nanomaterials will play an important role in the development of much improved future ETD technologies.

 
 

Nanoparticles of the future

Researchers have developed the world's first afterglow-magnetic nanoparticles. The patented invention is designed for various applications including cancer detection in medicine and the detection of fine particulates in living organisms.
 
 

New technology extracts potential to identify quality graphene cheaper and faster

Researchers have created a machine-learning algorithm that can characterise graphene properties and quality within 14 minutes.