Whitepapers/App Notes/Posters

Application note: Raman Hyperspectral Imaging: an essential tool in the pharmaceutical field

5
SHARES

Posted: 13 December 2017 | | No comments yet

Resulting from the combination of Raman spectroscopy and optical microscopy, Raman hyperspectral imaging has proven to be an indispensable tool in the pharmaceutical field. This article will broach a number of Raman hyperspectral imaging applications that were developed in our laboratory, to demonstrate the significance of the technique…

In the pharmaceutical environment, and especially in the research and development field, the quality of the medicine is a critical step as it is facing challenges with increased demand from the regulatory affairs to improve the quality of a pharmaceutical drug product. In the last decade, the use of vibrational spectroscopy has grown quickly as it allows fast and non-destructive analysis, without needing sample preparations in most cases.

 

ACCESS your FREE COPY

 


This report addresses the key factors shaping pharmaceutical formulation, including regulation, QC and analysis.

Access the full report now to discover the techniques, tools and innovations that are transforming pharmaceutical formulation, and learn how to position your organisation for long-term success.

What you’ll discover:

  • Key trends shaping the pharmaceutical formulation sector
  • Innovations leading progress in pharmaceutical formulation and how senior professionals can harness their benefits
  • Considerations and best practices when utilising QbD during formulation of oral solid dosage forms
  • And more!

Don’t miss your chance to access this exclusive report ! Access now – it’s free

Recently, Raman spectroscopy has been combined with optical microscopy, giving rise to Raman hyperspectral imaging. The use of the latter has expanded in the pharmaceutical and biomedical fields since microspectroscopic techniques present several advantages by combining the acquisition of spatial and spectral information from a sample.

Hyperspectral data analysis is based on chemometrics and may be divided in three main parts: (i) preprocessing of the raw spectral data, aiming at correcting the perturbations that occurred during the analysis or at limiting the effect of undesired phenomena to ease the access to the relevant information, (ii) processing of preprocessed data based on univariate (peak height, area or ratio) or multivariate data analysis (for instance PCA, ICA, MCR-ALS or PLS) depending on the data complexity and (iii) post-processing of the image. Each chemometric tool has its own specificities and will be used depending on the available and desired results.

 

This application note is restricted - login or subscribe free to access

Thank you for visiting our website. To access this content in full you'll need to login. It's completely free to subscribe, and in less than a minute you can continue reading. If you've already subscribed, great - just login.

Why subscribe? Join our growing community of thousands of industry professionals and gain access to:

  • bi-monthly issues in print and/or digital format
  • case studies, whitepapers, webinars and industry-leading content
  • breaking news and features
  • our extensive online archive of thousands of articles and years of past issues
  • ...And it's all free!

Click here to Subscribe today Login here

 

Related organisations

Share via
Share via