학술논문

Data processing of three-dimensional vibrational spectroscopic chemical images for pharmaceutical applications
Document Type
article
Source
Journal of Spectral Imaging, Vol 11, p a3 (2022)
Subject
3d imaging
raman
near infrared
infrared
chemical imaging
fiji
imagej
image processing
image analysis
3d
Analytical chemistry
QD71-142
Language
English
ISSN
2040-4565
Abstract
Vibrational spectroscopic chemical imaging is a powerful tool in the pharmaceutical industry to assess the spatial distribution of components within pharmaceutical samples. Recently, the combination of vibrational spectroscopic chemical mapping with serial sectioning has provided a means to visualise the three-dimensional (3D) structure of a tablet matrix. There are recognised knowledge gaps in current tablet manufacturing processes, particularly regarding the size, shape and distribution of components within the final drug product. The performance of pharmaceutical tablets is known to be primarily influenced by the physical and chemical properties of the formulation. Here, we describe the data processing methods required to extract quantitative domain size and spatial distribution statistics from 3D vibrational spectroscopic chemical images. This provides a means to quantitatively describe the microstructure of a tablet matrix and is a powerful tool to overcome knowledge gaps in current tablet manufacturing processes, optimising formulation development.