14. Nov 2025

Critical On-Site Detection of Explosive Precursors

Homemade explosives (HMEs) are attractive to criminals and terrorists due to accessible online recipes, readily available equipment, and the ease of obtaining precursor materials. To counter this, EU Regulation 2019/1148 restricts access to high concentrations of “Restricted Precursors” and monitors sales of “Reportable Explosives Precursors”.  Classification as an explosive precursor
04. Nov 2024

How NIR Spectroscopy and Machine Learning are Transforming Material Analysis Across Industries 

Introduction In today’s fast-paced industrial landscape, the demand for efficient and accurate material analysis is greater than ever. Industries such as pharmaceuticals, agriculture, and public safety require reliable, real-time data to ensure quality, safety, and performance. Traditional lab testing is being replaced by Near-Infrared (NIR) Spectroscopy, a technology enhanced by
18. Mar 2024

The Hidden Dangers: Cutting Agents in Cocaine

Following our insightful exploration in “Cocaine Analysis – Challenges and Opportunities“, we delve deeper into a critical aspect that plays a pivotal role in the global cocaine trade: the cutting agents. These substances, mixed with cocaine to increase volume, alter potency, or both, significantly impact the drug’s purity, efficacy, and
11. Mar 2024

Heroin Analysis – Challenges and Opportunities

Heroin, a substance with a complex legal and health-related history, requires sophisticated methods for accurate analysis. This article delves into the science of heroin, the significance of heroin analysis, the technological superiority of NIRLAB for the identification and quantification of Heroin, and its implications for the future. The Science of

NIRLAB mobile and handheld NIR Spectroscopy Solutions and Apps

NIRLAB detects and quantifies material and substance compositions non-destructively, instant and precise by using NIR spectroscopy and advanced machine learning algorithms.

The innovative digital ecosystem takes quality, transparency and security to a new level and generates real world data for automation and 3rd party AI applications.

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