Multispectral imaging of tablets in blister packaging.

Area of Science:

• Analytical Chemistry
• Pharmaceutical Analysis
• Spectroscopy

Background:

• Near-infrared (IR) imaging spectrometry is a powerful analytical technique.
• Analyzing pharmaceutical tablets through packaging presents challenges.
• Understanding tablet composition and degradation is crucial for quality control.

Purpose of the Study:

• To test the feasibility of using near-IR imaging spectrometry to analyze tablets through blister packs.
• To determine the simultaneous identification and composition of multiple aspirin tablets.
• To assess the accuracy and efficiency of this non-destructive analytical method.

Main Methods:

• Near-IR cameras collected spectral data from packaged aspirin tablets.
• Principal component analysis (PCA) was used for tablet selection.
• A bootstrap error-adjusted single-sample technique (BEAST) chemometric-imaging algorithm was employed for composition analysis.
• Color intensity mapping represented constituent identity and concentration.

Main Results:

• The study successfully modeled salicylic acid and acetylsalicylic acid using PCA.
• Probability-density contour plots accurately revealed tablet composition.
• The system achieved high accuracy with a Standard Error of Prediction (SEP) of 0.06% for water uptake and salicylic acid production.
• Near-IR cameras demonstrated the capability to analyze approximately 1300 tablets simultaneously.

Conclusions:

• Near-IR imaging spectrometry can effectively analyze tablet composition and degradation non-destructively through blister packs.
• The developed chemometric-imaging algorithm provides accurate and simultaneous analysis of multiple tablets.
• This method holds significant potential for pharmaceutical quality control and formulation analysis.