Blog
Current Drug Situation in Europe 2024: An Insightful Analysis
The drug landscape in Europe is continually evolving, driven by the emergence of new substances, shifting usage patterns, and changing policies.
Molecular Vibrations with NIR: A Detailed Exploration
Near-Infrared Spectroscopy (NIR) is a fascinating and versatile analytical technique widely used in various scientific and industrial fields.
Navigating the Waters: Decoding the Intricacies of Water in NIR Spectroscopy
In today’s fast-paced world of scientific innovation, Near-Infrared (NIR) Spectroscopy has established itself as a vital tool across various sectors.
The PA6 and PA66 Challenge: Distinguishing the Indistinguishable
In the intricate dance of molecules that shapes the materials of our daily lives, polyamides play a leading role.
Plastic Recycling Revolution: NIR Spectroscopy’s Transformative Role
In our modern world, the issue of plastic recycling has evolved into a global environmental crisis, with millions of tons of plastic produced, used, and discarded each year.
FTIR vs. NIR Spectroscopy: A Comparative Analysis
In the world of spectroscopic analysis, two prominent methods stand out: Near-Infrared (NIR) and Fourier Transform Infrared (FTIR) Spectroscopy.
The Science Behind NIR: How It Helps in Material Identification
The science behind NIR spectroscopy: what near-infrared light reveals about a material, how the technique evolved and where it is used today.
Asbestos Detection: Unmasking the Hidden Danger with Advanced Techniques in Using NIR Spectroscopy
Asbestos, once prized in construction, remains a hidden hazard. The limits of traditional detection and how NIR spectroscopy can help identify it on site.
Good start for the drug control center: scanned 170 samples
In six months, the Lausanne facility has attracted 90 consumers wishing to test their drugs. The canton is considering the future of the programme.
Providing illicit drugs results in five seconds using ultra-portable NIR technology
The analysis of illicit drugs faces many challenges, mainly regarding the production of timely and reliable results and the production of added value from the generated data.