Agilent RapID Raman
Brochures and specifications | 2020 | Agilent TechnologiesInstrumentation
Pharmaceutical raw material verification is essential for ensuring product quality, safety, and regulatory compliance. Traditional Raman spectroscopy requires opening containers and sampling, which adds time, contamination risk, and operational complexity. Through-barrier analysis offers a noninvasive alternative that accelerates workflows, preserves sterility, and minimizes operator exposure.
This summary reviews the Agilent RapID Raman system, which integrates spatially offset Raman spectroscopy (SORS) for 100% identity testing of incoming materials through unopened packaging. The primary goals are to demonstrate rapid, accurate raw material identification, reduce QC turnaround, and streamline warehouse operations.
The RapID Raman system uses an 830 nm class 3B laser and SORS optics to suppress container fluorescence and acquire spectra of contents through opaque or colored barriers. Measurements employ magnetic nose adapters that align the excitation and collection optics with various container shapes. Data handling is managed by RapID software compliant with 21 CFR Part 11, featuring touchscreen controls, integrated 1D/2D barcode scanning, network connectivity (RJ-45/WiFi), and LIMS output.
Used Instrumentation
Performance testing demonstrated identification times of 20–30 seconds for three-layer paper sacks of mannitol, 5 seconds for amber glass bottles with acetic acid, 10 seconds for 1 ton supersacks of lactose, and 5 seconds for plastic bottles of acetaminophen. In a head-to-head comparison for verifying 200 paper sacks, RapID reduced total analysis time from 17.5 hours (conventional Raman with sampling) to 4 hours, increasing throughput and reducing labor and quarantine delays. SORS spectra showed clear content signatures, overcoming container fluorescence that limits conventional handheld Raman.
Through-barrier Raman approaches are poised to extend into continuous manufacturing environments and automated material handling systems. Advances in adapter design and sensitivity may facilitate analysis of more complex packaging and lower-concentration analytes. Integration with data analytics and machine learning could further enhance material traceability and predictive quality control.
The Agilent RapID Raman system represents a significant advancement in raw material identity verification. By leveraging SORS for through-container analysis, it eliminates sampling steps, reduces risk, and accelerates QC workflows, delivering robust, compliant, and high-throughput testing for pharmaceutical operations.
RAMAN Spectroscopy
IndustriesMaterials Testing
ManufacturerAgilent Technologies
Summary
Significance of the Topic
Pharmaceutical raw material verification is essential for ensuring product quality, safety, and regulatory compliance. Traditional Raman spectroscopy requires opening containers and sampling, which adds time, contamination risk, and operational complexity. Through-barrier analysis offers a noninvasive alternative that accelerates workflows, preserves sterility, and minimizes operator exposure.
Objectives and Overview of the Study
This summary reviews the Agilent RapID Raman system, which integrates spatially offset Raman spectroscopy (SORS) for 100% identity testing of incoming materials through unopened packaging. The primary goals are to demonstrate rapid, accurate raw material identification, reduce QC turnaround, and streamline warehouse operations.
Methodology and Used Instrumentation
The RapID Raman system uses an 830 nm class 3B laser and SORS optics to suppress container fluorescence and acquire spectra of contents through opaque or colored barriers. Measurements employ magnetic nose adapters that align the excitation and collection optics with various container shapes. Data handling is managed by RapID software compliant with 21 CFR Part 11, featuring touchscreen controls, integrated 1D/2D barcode scanning, network connectivity (RJ-45/WiFi), and LIMS output.
Used Instrumentation
- Agilent RapID Raman system with 830 nm laser
- Spatially offset Raman spectroscopy (SORS) module
- Magnetic nose adapters for cylindrical, flat, and barcode-scannable containers
- Touchscreen workstation with integrated barcode scanner
- Network connectivity via RJ-45 and WiFi
Main Results and Discussion
Performance testing demonstrated identification times of 20–30 seconds for three-layer paper sacks of mannitol, 5 seconds for amber glass bottles with acetic acid, 10 seconds for 1 ton supersacks of lactose, and 5 seconds for plastic bottles of acetaminophen. In a head-to-head comparison for verifying 200 paper sacks, RapID reduced total analysis time from 17.5 hours (conventional Raman with sampling) to 4 hours, increasing throughput and reducing labor and quarantine delays. SORS spectra showed clear content signatures, overcoming container fluorescence that limits conventional handheld Raman.
Benefits and Practical Applications
- Noninvasive testing preserves sterility and reduces contamination risk
- Faster QC turnaround minimizes warehouse quarantine time
- Enables 100% inspection for enhanced quality assurance
- Lowers operational costs by reducing sampling booths and cleanup
- Compatible with a broad range of APIs, excipients, and container types (sacks, bottles, barrels, FIBCs)
Future Trends and Applications
Through-barrier Raman approaches are poised to extend into continuous manufacturing environments and automated material handling systems. Advances in adapter design and sensitivity may facilitate analysis of more complex packaging and lower-concentration analytes. Integration with data analytics and machine learning could further enhance material traceability and predictive quality control.
Conclusion
The Agilent RapID Raman system represents a significant advancement in raw material identity verification. By leveraging SORS for through-container analysis, it eliminates sampling steps, reduces risk, and accelerates QC workflows, delivering robust, compliant, and high-throughput testing for pharmaceutical operations.
References
- None
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