Raman Spectroscopy

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Unsolved Problems in Spectroscopy - Part 5
Error Bars in Chemometrics: What Do They Really Mean?

August 25th 2025

This tutorial contrasts classical analytical error propagation with modern Bayesian and resampling approaches, including bootstrapping and jackknifing. Uncertainty estimation in multivariate calibration remains an unsolved problem in spectroscopy, as traditional, Bayesian, and resampling approaches yield differing error bars for chemometric models like PLS and PCR, highlighting the need for deeper theoretical and practical solutions.

Advanced Spectroscopy Techniques Improve Microplastics Identification and Characterization © weerasak -chronicles-stock.adobe.com
Advanced Spectroscopy Techniques Improve Microplastics Identification and Characterization

August 21st 2025

Model of PFAS Structure Floating in Three-Dimensional Space Showcasing Molecular Interactions and Characteristics. Generated with AI. | Image Credit: © Anzhela - stock.adobe.com
Raman Spectroscopy and Machine Learning Show Promise for PFAS Detection

August 21st 2025

How Colorants Complicate Raman Spectroscopy of Microplastics: New Insights from Environmental Research © John -chronicles-stock.adobe.com
How Colorants Complicate Raman Spectroscopy of Microplastics: New Insights from Environmental Research

August 20th 2025

New Technique Combines Raman Spectroscopy and AI to Accurately Detect Microplastics in Water © Evgeny -chronicles-stock.adobe.com
New Technique Combines Raman Spectroscopy and AI to Accurately Detect Microplastics in Water

August 19th 2025

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Developing Portable Raman Spectroscopy Methods for Identification of Raw Materials Used in Pharmaceutical Development and Manufacturing

February 1st 2017

Portable instrumentation for Raman spectroscopy has rapidly evolved over the last decade, where sample testing that once occurred in the laboratory is now executed in the field (e.g. warehouse).   Portable Raman spectroscopy is a powerful technique for the rapid identification of diversely sourced raw materials used in pharmaceutical processing.  In addition to portability; reduced cost, rapid data acquisition and ease of use make this powerful technique attractive and accessible to both expert spectroscopists and non-specialists.  In most cases, the method development can be easily accomplished in the laboratory after which the instrument and methods are transferred to field for sample analysis or warehouse areas for inspection of incoming raw material.  Qualitative Raman methods for identification of raw materials typically utilize spectral libraries for sample to standard comparison.  When developing Raman spectral libraries for raw material identification, great care is required when considering critical factors (e.g. instrument type, Raman capability, container type, container interference, background interference, material variability) that can potentially influence the identity of the material.  This paper discusses portable Raman techniques and approaches for raw material identification, as well as key considerations for developing and validating Raman spectral libraries.