Agilent Vials for PFAS Testing
All pictures shown are for illustration purpose only. Actual product may vary.
Agilent PFAS-optimised vials are purpose-built for high-sensitivity analysis of per- and polyfluoroalkyl substances (PFAS), where minimising background contamination and maintaining sample integrity are essential. Manufactured from premium-grade polypropylene, these 2 mL autosampler vials are specifically designed to reduce unwanted perfluorinated compound (PFC) interference within the LC–MS workflow. Available in both screw top and snap/crimp formats, they provide reliable, consistent performance across demanding PFAS applications.
Designed to meet stringent regulatory requirements, including EPA 537.1, EPA 533, EPA 8327 and ISO 21675, Agilent PFAS vials – when paired with Agilent PFAS caps – deliver reproducible, trace-level detection while reducing autosampler errors and minimising costly reruns. Fully compatible with Agilent autosamplers and most third-party systems, these vials are a key component of the broader Agilent PFAS workflow, enabling laboratories to achieve accurate, compliant and efficient PFAS analysis.
Features
- PFAS-Optimised Design – Minimises background PFC contamination for accurate trace-level analysis
- Premium Polypropylene Construction – Chemically inert, semi-transparent material protects sensitive samples
- 2 mL Standard Format – Approximate fill volume of 1.5 – 1.7 mL for consistent sample handling
- Screw Top & Snap/Crimp Options – Flexible formats to suit different laboratory workflows
- Wide Opening Design – 40% larger opening enables easier and more precise pipetting
- Flat Bottom Geometry – Ensures compatibility with a wide range of polypropylene inserts
- Precision-Formed Neck – Supports reliable robotic arm handling in automated systems
- Regulatory Compliance – Meets EPA 537.1, EPA 533, EPA 8327 and ISO 21675 standards
- Autosampler Compatibility – Suitable for Agilent systems and most third-party autosamplers
- Rigorous Quality Assurance – Ensures dimensional consistency and performance across production batches
