Applying Raman Spectroscopy in the Pharmaceutical Industry
Raman spectroscopy is a spectroscopic technique used to observe vibrational, rotational, and other low-frequency modes within a sample. Raman spectroscopy is commonly used to identify and quantitate the molecules within a chemical sample. The technique involves shining a laser on a sample and detecting and analyzing the scattered light. The advantages to this type of spectroscopy are its high chemical specificity, sampling versatility, relatively low maintenance, minimal sample preparation, fast and simple routine analysis, and the ability to transfer methods from instrument to instrument in a simple way.
AI and Dual-Sensor Spectroscopy Supercharge Antibiotic Fermentation
June 30th 2025Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for real-time monitoring and control of antibiotic production, boosting efficiency by over 30%.
Toward a Generalizable Model of Diffuse Reflectance in Particulate Systems
June 30th 2025This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.
