Category: Getting Started
22. Apr 2024
Wie THC & CBD Analysen von NIRLAB Cannabis-Anbauvereinigungen bzw. Cannabis Social Clubs in Deutschland unterstützen kann
Mit der Legalisierung von Cannabis am 1. April 2024 hat Deutschland ein neues Kapitel in seiner Drogenpolitik aufgeschlagen, das einen wachsenden Trend in Europa hin zu liberaleren Ansätzen im Umgang mit Cannabis widerspiegelt. Diese politische Veränderung zielt nicht nur darauf ab, die mit dem Drogenhandel verbundene Kriminalität zu reduzieren, sondern
15. Apr 2024
NIRLAB’s Role in Supporting Cannabis Social Clubs (Anbauvereinigung) in Germany
With the legalization of cannabis on April 1st 2024 in Germany, the country embarked on a new chapter in its drug policy, mirroring a growing trend in Europe toward more liberal approaches to cannabis use and distribution. This policy shift not only aims to reduce crime related to drug trafficking
04. Mar 2024
Textile Quality Assurance: Practical Guide for NIR
The integration of NIRLAB’s portable NIR spectrometer heralds a significant leap in textile manufacturing. This by aligning the precision of Near-Infrared (NIR) spectroscopy with the complex demands of textile quality assurance. This breakthrough enhances the efficiency and accuracy of fiber identification, moisture content analysis, and verification of chemical finishes. Hence,
23. Feb 2024
Analyzing the NIR Spectroscopy Data for Substance Analysis
Welcome to an in-depth journey through the cutting-edge world of Near-Infrared (NIR) Spectroscopy as applied by NIRLAB, a leader in forensic and substance analysis technology. Today, we’re delving into a spectrum that might seem like a mere collection of peaks and troughs to the uninitiated but reveals a story of
21. Feb 2024
Sugar Cane Quality Control: A Comprehensive Guide
Sugar cane is a cornerstone of the global agricultural economy, thriving amid challenges such as environmental changes and market volatility. Reliable quality control is crucial in this context. Near-Infrared Spectroscopy (NIR) emerges as a cutting-edge solution, transforming the landscape of agricultural analytics. At the forefront of this technological advancement is
