Data processing of vibrational chemical imaging for pharmaceutical applications

• Hyperspectral imaging has gained in importance in pharmaceutical analysis.
• Recent pharmaceutical applications of hyperspectral imaging are reviewed.
• The review focuses of the data pre-process, process and post-process.
• Fundamental concepts of hyperspectral imaging are presented.
• Basic theory of the most used chemometrics in hyperspectral data processing is given.

Vibrational spectroscopy (MIR, NIR and Raman) based hyperspectral imaging is one of the most powerful tools to analyze pharmaceutical preparation. Indeed, it combines the advantages of vibrational spectroscopy to imaging techniques and allows therefore the visualization of distribution of compounds or crystallization processes. However, these techniques provide a huge amount of data that must be processed to extract the relevant information.This review presents fundamental concepts of hyperspectral imaging, the basic theory of the most used chemometric tools used to pre-process, process and post-process the generated data. The last part of the present paper focuses on pharmaceutical applications of hyperspectral imaging and highlights the data processing approaches to enable the reader making the best choice among the different tools available.

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