Agilent Vaya Raman Raw Material Identity Verification System
Brochures and specifications | 2021 | Agilent TechnologiesInstrumentation
Ensuring the correct identity of raw materials is a critical step in pharmaceutical and chemical manufacturing. Rapid, non-destructive testing of incoming substances helps maintain product quality, streamlines GMP-compliant workflows, and reduces the risk of costly production delays.
This data sheet describes the Agilent Vaya Raman Raw Material Identity Verification System, a handheld SORS-based scanner designed for fast, accurate identification of raw materials through both transparent and opaque containers in GMP environments.
The Vaya system employs spatially offset Raman spectroscopy (SORS) with an 830 nm laser and a near-infrared CCD detector to collect subsurface spectral signatures.
Performance qualification features and wizard-based software enable method development, validation, and compliance with pharmacopeia standards (e.g., USP <1120>, EP 2.2.48). Handheld operation trials demonstrate reliable identification of powders, granules, and liquids without opening sealed containers, significantly reducing sampling errors and contamination risk.
The Vaya system accelerates raw material release processes by eliminating manual sampling. Its robust design withstands drops, low-temperature storage, and routine cleaning with ethanol or bleach. Integration with corporate data systems ensures secure record keeping and audit readiness.
Advances in handheld Raman devices are expected to include higher sensitivity detectors, expanded spectral libraries with AI-driven identification, and tighter integration with digital manufacturing execution systems (MES). Such developments will further streamline supply chain verification in pharmaceutical, food, and specialty chemical industries.
The Agilent Vaya Raman system offers a balanced combination of portability, ruggedness, and advanced SORS capability for rapid raw material verification. Its ease of use, compliance features, and seamless data integration support GMP requirements and enhance operational efficiency.
No references provided in the source document.
RAMAN Spectroscopy
IndustriesManufacturerAgilent Technologies
Summary
Significance of the topic
Ensuring the correct identity of raw materials is a critical step in pharmaceutical and chemical manufacturing. Rapid, non-destructive testing of incoming substances helps maintain product quality, streamlines GMP-compliant workflows, and reduces the risk of costly production delays.
Objectives and overview of the article
This data sheet describes the Agilent Vaya Raman Raw Material Identity Verification System, a handheld SORS-based scanner designed for fast, accurate identification of raw materials through both transparent and opaque containers in GMP environments.
Methodology and instrumentation
The Vaya system employs spatially offset Raman spectroscopy (SORS) with an 830 nm laser and a near-infrared CCD detector to collect subsurface spectral signatures.
- Laser excitation wavelength: 830 nm
- Adjustable laser power up to 450 mW (Class 3B)
- Spectral range: 350 to 2000 cm⁻¹ with <14 cm⁻¹ resolution
- Stability: <±1 cm⁻¹ over 24 hours
- Battery-powered operation: >4 hours continuous use
- Portable design: 1.86 kg with protective bumpers and hand strap
- Connectivity: Wi-Fi, Ethernet dongle, barcode scanner, LIMS-compatible XML export
Main results and discussion
Performance qualification features and wizard-based software enable method development, validation, and compliance with pharmacopeia standards (e.g., USP <1120>, EP 2.2.48). Handheld operation trials demonstrate reliable identification of powders, granules, and liquids without opening sealed containers, significantly reducing sampling errors and contamination risk.
Benefits and practical applications
The Vaya system accelerates raw material release processes by eliminating manual sampling. Its robust design withstands drops, low-temperature storage, and routine cleaning with ethanol or bleach. Integration with corporate data systems ensures secure record keeping and audit readiness.
Future trends and potential applications
Advances in handheld Raman devices are expected to include higher sensitivity detectors, expanded spectral libraries with AI-driven identification, and tighter integration with digital manufacturing execution systems (MES). Such developments will further streamline supply chain verification in pharmaceutical, food, and specialty chemical industries.
Conclusion
The Agilent Vaya Raman system offers a balanced combination of portability, ruggedness, and advanced SORS capability for rapid raw material verification. Its ease of use, compliance features, and seamless data integration support GMP requirements and enhance operational efficiency.
References
No references provided in the source document.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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