Using NIR Spectroscopy as an Integrated PAT Tool (PDF)
This article summarizes recent efforts by the Duquesne University Center for Pharmaceutical Technology to develop and validate a PAT method using NIR spectroscopy for the on-line prediction of tablet hardness and active pharmaceutical ingredient content.
Next-Generation Infrared Sensors: Innovations in Semiconductor Materials and Applications
February 19th 2025A recent study provides an in-depth overview of the latest advancements in infrared (IR) semiconductor sensor technology, highlighting new materials, enhanced detection capabilities, and expanding applications across industrial, medical, security, and environmental fields. The research explores how quantum dots, graphene, and novel nanomaterials are revolutionizing IR detection, paving the way for more efficient and versatile sensor systems.
Advancing Near-Infrared Spectroscopy and Machine Learning for Personalized Medicine
February 12th 2025Researchers have developed a novel approach to improve the accuracy of near-infrared spectroscopy (NIRS or NIR) in quantifying highly porous, patient-specific drug formulations. By combining machine learning with advanced Raman imaging, the study enhances the precision of non-destructive pharmaceutical analysis, paving the way for better personalized medicine.
Best of the Week: Interview with Juergen Popp, Microplastic Detection, Machine Learning Models
February 7th 2025Top articles published this week include a video interview that explores using label-free spectroscopic techniques for tumor classification, an interview discussing how near-infrared (NIR) spectroscopy can classify different types of horsetails, and a news article about detecting colorless microplastics (MPs) using NIR spectroscopy and machine learning (ML).
