Data processing of vibrational chemical imaging for pharmaceutical applications.

Area of Science:

• Pharmaceutical analysis
• Spectroscopy
• Chemometrics

Background:

• Vibrational spectroscopy (MIR, NIR, Raman) combined with hyperspectral imaging is a potent tool for pharmaceutical analysis.
• It enables visualization of compound distribution and crystallization processes within pharmaceutical preparations.
• The large data volumes generated necessitate advanced data processing techniques.

Purpose of the Study:

• To review fundamental concepts of hyperspectral imaging in pharmaceutical analysis.
• To explain the theory behind chemometric tools for data pre-processing, processing, and post-processing.
• To highlight pharmaceutical applications and guide the selection of appropriate data processing approaches.

Main Methods:

• Review of hyperspectral imaging principles.
• Explanation of chemometric methods (pre-processing, processing, post-processing).
• Case studies on pharmaceutical applications.

Main Results:

• Detailed overview of hyperspectral imaging techniques for pharmaceutical analysis.
• Comprehensive explanation of various chemometric tools and their applications.
• Guidance on selecting optimal data processing strategies for specific pharmaceutical challenges.

Conclusions:

• Hyperspectral imaging, coupled with chemometrics, is crucial for detailed pharmaceutical analysis.
• Effective data processing is key to unlocking the full potential of this technology.
• This review provides a framework for researchers to choose appropriate methods for pharmaceutical applications.