
The Vaya handheld Raman spectrometer works through colored plastic sacks
Vaya Handheld Raman Spectrometer for Raw Material Identification
Vaya improves current testing protocols—from low volume sampling to 100% identification testing—and if regulators require more testing in future, you can move to a higher-throughput process without any additional equipment. The system combines conventional handheld Raman spectrometer technology with unique spatially offset Raman spectroscopy (SORS) for maximum sample/container compatibility. With a dedicated raw material identification workflow, Vaya is fast, fully compliant, easy to deploy, and simple to use, requiring minimal training or operator skill.
- Raman Pharmaceutical Analysis Systems
Request a Quote
Product Details
- Work smarter: raw material identification through opaque containers in seconds. No sampling booth needed, minimum material handling
- Compatible with most raw materials and containers: SORS handheld Raman spectrometer technology verifies raw material identity without interference from the container or liner, minimizing fluorescence
- Fast and robust to container variation: Vaya works faster than conventional handheld Raman spectrometers through transparent containers and handles opaque containers like white or colored tubs, FIBCs, papers bags, and amber bottles
- Preserve container integrity: eliminate exposure to hazardous materials, maintain the shelf life of sterile contents, and prevent unnecessary waste
- Easy to use: dedicated raw material identification workflow with clear pass/fail analysis and intuitive method development wizard, requires minimal training
- Makes GMP compliance easier: batch identification and method development with full reporting and audit trail, method validation module with positive and negative challenges and reporting, quick PQ with traceable test piece
- Meet data integrity standards: built-in technical controls ensure the security of your data, control access, and facilitate compliance as defined by US FDA 21 CFR Part 11, EU Annex 11 and similar national electronic record regulations
- Ready to deploy: LIMS-compatible data, 2D-barcode reader for fast data input/method selection and Wi-Fi for data synchronization
Accessories Included |
|
Battery Life |
|
Compliance |
|
Connectivity |
|
Depth |
|
Height |
|
Laser Safety |
|
Laser Wavelength(s) |
|
Maximum Laser Power |
|
Power Requirements |
|
Weight |
|
Width |
|
Videos
Spatially Offset Raman Spectroscopy (SORS)
Spatially offset Raman Spectroscopy (SORS) is a unique way to analyze objects when the contents are behind non-transparent layers or containers.
Learn More- Key Literature
-
Agilent Vaya Raman Raw Material Identity Verification System
The Agilent Vaya handheld Raman spectrometer accelerates the raw material identification test by enabling testing through transparent and opaque containers.
- Brochures
- English
- 19 Mar 2020
- 6.86 MB
Identifying Raw Materials Inside Containers Using a Handheld Raman Spectrometer
Reducing the cost of quality with the Agilent Vaya Raman system
- White Papers
- English
- 16 Jun 2020
- 370.77 KB
Identifying Raw Materials Directly Through Paper Sacks
Using a hand held Vaya Raman spectrometer to reduce the time associated with identifying materials
- Application Notes
- English
- 11 Jun 2020
- 408.81 KB
- Application Notes
- Data Sheets
- Flyers
- Technical Overviews
- FAQs
-
Frequently asked questions (FAQs) Vaya Handheld Raman Spectrometer
FAQs on pharmaceutical raw material identification through transparent and nontransparent packaging using the Agilent Vaya handheld Raman spectrometer. Includes SORS technology, handheld Raman fluorescence, FTIR versus Raman for raw material identification, and handheld Raman compliance.
Agilent Vaya Raman Raw Material ID Verification System Receives 2020 R&D 100 Award
The Agilent Vaya Raman raw material identity verification system received a 2020 R&D 100 Award in the Analytical/Test category. The worldwide competition, held by R&D World, recognizes R&D pioneers and their revolutionary contributions to science and technology.
- 14 Oct 2020