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Data processing of vibrational chemical imaging for pharmaceutical applications
- Source :
- Journal of pharmaceutical and biomedical analysis. 101
- Publication Year :
- 2014
-
Abstract
- 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.
- Subjects :
- Chemical imaging
Data processing
Electronic Data Processing
Chemistry
Process (engineering)
Chemistry, Pharmaceutical
Spectrum Analysis
Clinical Biochemistry
Near-infrared spectroscopy
Analytical chemistry
Pharmaceutical Science
Hyperspectral imaging
computer.software_genre
Vibration
Analytical Chemistry
Visualization
Chemometrics
Pharmaceutical Preparations
Drug Discovery
Technology, Pharmaceutical
Data mining
Relevant information
computer
Spectroscopy
Subjects
Details
- ISSN :
- 1873264X
- Volume :
- 101
- Database :
- OpenAIRE
- Journal :
- Journal of pharmaceutical and biomedical analysis
- Accession number :
- edsair.doi.dedup.....a043fdd2767d90b630fa391b1c6c804e