Raman Spectroscopy

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Best of the Week: Big Pharma Restructuring, Raman Spectroscopy, Artificial Intelligence
Best of the Week: Big Pharma Restructuring, Raman Spectroscopy, Artificial Intelligence

April 26th 2024

Here are the top five articles that the editors of Spectroscopy published this week.

Coronavirus or Flu virus - Microbiology And Virology Concept | Image Credit: © Feydzhet Shabanov - stock.adobe.com
Surface-Enhanced Raman Scattering (SERS) Spectroscopy Used to Detect COVID-19 Virus

April 25th 2024

Masaya Volcano emitting large quantities of sulfur dioxide gas from active Santiago crater in Masaya, Nicaragua, Central America. | Image Credit: © Francisco - stock.adobe.com
Sulfuric Compound Metabolites Characterized Using Surface-Enhanced Raman Spectroscopy

April 24th 2024

Futuristic CPU processor and machine learning concept. 3D illustration | Image Credit: © James Thew - stock.adobe.com
Raman and AI for Pathological Classification

April 24th 2024

3D Rendered Medical Illustration of Male Anatomy - Colon Cancer; Ascending Colon. | Image Credit: © Sebastian Kaulitzki - stock.adobe.com
New System Meant to Analyze Cancerous Human Colon Cells

April 23rd 2024

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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.