Category: Use Cases
22. Jul 2025
Rapid Detection and Quantification of Falsified Viagra
Using Cloud-Based Portable NIR Technology and Machine Learning Reference: Hervé Rais, Pierre Esseiva, Olivier Delémont, Cédric Schelling, Stefan Stanojevic, Serge Rudaz, Florentin Coppey, Rapid detection and quantification of falsified Viagra using cloud-based portable NIR technology and machine learning, Journal of Pharmaceutical and Biomedical Analysis, Volume 263, 2025, 116940, ISSN 0731-7085, https://doi.org/10.1016/j.jpba.2025.116940.
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
08. Aug 2024
Use of Portable NIR Technology for Drug analysis in Australia
The challenge of efficiently and accurately analyzing illicit drugs remains significant in Australia due to the high volume of drugs trafficked within the country. A recent study explores the potential of Near-Infrared (NIR) spectroscopy combined with machine learning.1 Hence, by using NIRLAB’s solution to provide rapid and accurate drug identification
27. Jun 2024
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. The European Drug Report 20241 highlights these dynamics and underscores the need for a multifaceted response to drug-related challenges. This article offers a comprehensive analysis of the current drug
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
