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.
Deep Learning Advances Gas Quantification Analysis in Near-Infrared Dual-Comb Spectroscopy
May 15th 2024Researchers from Tsinghua University and Beihang University in Beijing have developed a deep-learning-based data processing framework that significantly improves the accuracy of dual-comb absorption spectroscopy (DCAS) in gas quantification analysis. By using a U-net model for etalon removal and a modified U-net combined with traditional methods for baseline extraction, their framework achieves high-fidelity absorbance spectra, even in challenging conditions with complex baselines and etalon effects.
New Probes for NIR Monitoring of Polymer Injection Molding Composition in Real-Time
May 2nd 2024Researchers from Kyoto University and Japan's National Institute of Advanced Industrial Science and Technology have developed innovative probes to monitor the chemical composition of biodegradable polymer blends during injection molding. This breakthrough could lead to improved production efficiency and reduced waste in the polymer industry.