Characterizing Multi-Layer Pharmaceutical Tablets
Applications | 2018 | Agilent TechnologiesInstrumentation
Multi-layer tablets are widely used to deliver multiple active pharmaceutical ingredients with controlled release profiles. Precise mapping of APIs and excipients across different layers is essential to ensure consistent therapeutic performance and manufacturing quality.
This application note evaluates the Agilent 8700 Laser Direct Infrared Chemical Imaging System for characterizing the distribution of constituents within multi-layer pharmaceutical tablets. Key goals include assessing inter- and intra-layer composition, evaluating potential cross contamination, and demonstrating analysis speed and resolution.
Chemical imaging was performed in reflection and ATR modes using the Agilent 8700 LDIR system. Notable features include:
An extended release caplet containing acetaminophen, cellulose, starch, and hydroxyethyl cellulose was sectioned and imaged. Composite and individual chemical maps revealed two horizontal layers:
The 8700 LDIR approach delivers:
Future developments may include real-time process monitoring during tablet compression, integration with dissolution testing for predictive modeling, expansion to pellets and co-processed excipients, and advanced software for spectral classification and 3D reconstruction.
The Agilent 8700 LDIR Chemical Imaging System offers a fast, high-resolution solution for detailed characterization of multi-layer tablets, supporting formulation optimization and ensuring consistent quality in pharmaceutical manufacturing.
FTIR Spectroscopy
IndustriesPharma & Biopharma
ManufacturerAgilent Technologies
Summary
Importance of the Topic
Multi-layer tablets are widely used to deliver multiple active pharmaceutical ingredients with controlled release profiles. Precise mapping of APIs and excipients across different layers is essential to ensure consistent therapeutic performance and manufacturing quality.
Study Objectives and Overview
This application note evaluates the Agilent 8700 Laser Direct Infrared Chemical Imaging System for characterizing the distribution of constituents within multi-layer pharmaceutical tablets. Key goals include assessing inter- and intra-layer composition, evaluating potential cross contamination, and demonstrating analysis speed and resolution.
Methodology and Instrumentation
Chemical imaging was performed in reflection and ATR modes using the Agilent 8700 LDIR system. Notable features include:
- Automated selection of diagnostic wavelengths for maximal chemical contrast
- Variable pixel sizes without optic changes, down to 0.1 µm in ATR mode
- Rapid imaging at 10 µm resolution across full tablet sections with minimal data processing
Main Results and Discussion
An extended release caplet containing acetaminophen, cellulose, starch, and hydroxyethyl cellulose was sectioned and imaged. Composite and individual chemical maps revealed two horizontal layers:
- An immediate release layer rich in starch on the unprinted side
- A sustained release layer enriched in hydroxyethyl cellulose on the printed side
- Distinct layer interfaces and constituent distributions visualized in under 30 minutes for a 19.35 mm × 7.77 mm scan
Benefits and Practical Applications
The 8700 LDIR approach delivers:
- High specificity for both APIs and excipients
- Excellent spatial resolution to detect microheterogeneities
- Rapid, non-destructive imaging with automated analysis
- Enhanced quality control and formulation development capabilities
Future Trends and Potential Applications
Future developments may include real-time process monitoring during tablet compression, integration with dissolution testing for predictive modeling, expansion to pellets and co-processed excipients, and advanced software for spectral classification and 3D reconstruction.
Conclusion
The Agilent 8700 LDIR Chemical Imaging System offers a fast, high-resolution solution for detailed characterization of multi-layer tablets, supporting formulation optimization and ensuring consistent quality in pharmaceutical manufacturing.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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