15. Apr 2024

Handheld NIR Spectroscopy: Revolutionizing THC/CBD Cannabis Analysis

In recent years, forensic science has witnessed significant advancements with the integration of technology in field operations. One such breakthrough is the use of portable Near-Infrared (NIR) spectroscopy for the real-time forensic analysis of cannabis. This blog delves into a transformative approach introduced by researchers from the University of Lausanne
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
15. Mar 2024

Cocaine Analysis – Challenges and Opportunities

Cocaine, a potent stimulant derived from the leaves of the coca plant, has a long and controversial history. Its use spans centuries, from traditional applications in South American indigenous cultures to its modern-day status as a major public health concern due to its addictive properties and the illegal drug trade.
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
08. Mar 2024

Guilty until Proven Innocent: Rethinking Presumptive Drug Tests

Presumptive field drug tests in the American justice system spark concerns related to fairness, accuracy, and racial disparities. Annually, approximately 773,000 drug-related arrests hinge on these notoriously unreliable tests, pressing for urgent reform. A comprehensive study conducted by the University of Pennsylvania sheds light on the system’s alarming limitations. In

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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Period 15.01.2022–31.12.2022

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