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
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,
01. Mar 2024

Counterfeit Medicines: Unmasking the Role of NIR Spectroscopy

In the realm of pharmaceutical integrity and patient safety, the battle against counterfeit medicines presents a formidable challenge. Counterfeiters are becoming increasingly sophisticated, making the need for advanced detection techniques more critical than ever. One such technique, Near-Infrared (NIR) spectroscopy, emerges as a beacon of hope in this ongoing struggle.

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.

NIRLAB AG
Somlaproz 23
1937 Orsières
Switzerland

Funded by

REACT EU Funded as part of the Union's response to the COVID-19 pandemic.

Project Digitalization in the field of corporate presentation, marketing and communication

Period 15.01.2022–31.12.2022

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