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Thumbnail Filmstrip of TE-1003-1 Quick Disconnect, Female, for PUF Sampler Images
The TE-1003-1 Quick Disconnect provides the female connection interface between the dual sampling module and the PUF shelter system. This component is permanently installed in the shelter and accepts the dual sampling module connection for secure, leak-tight operation during ambient air monitoring.
The quick disconnect design allows field personnel to rapidly connect and remove the dual sampling module without tools. The module locks in place by pushing rings down for a tight seal, ensuring proper air flow and preventing sample contamination during collection periods.
Key Specifications
- Female quick disconnect configuration
- Machined construction for long-term reliability
- Tool-free connection and disconnection
- Leak-tight seal when properly connected
Compatibility
This female quick disconnect is specifically designed for Tisch Environmental PUF sampler shelters. The system incorporates a dual sampling module to collect volatile organic compounds, airborne pesticides, and PFAS in ambient air. These systems are designed to meet the requirements described for sampling using US EPA method TO-4A, TO-9A, and TO-13A. The TE-1003-1 works with all standard PUF dual sampling modules in the Tisch Environmental product line.
Installation and Maintenance
The TE-1003-1 is pre-installed in PUF shelter assemblies. During initial setup, remove the rubber plug that is in the quick disconnect on the shelter before connecting the dual sampling module. Periodic inspection ensures the sealing surfaces remain clean and undamaged. Replace if cracking or wear compromises the seal integrity.
Applications
The PUF high volume air sampler collects airborne particulate and vapor contaminants. These samplers are typically used to collect volatile organic compounds and airborne pesticides. The TE-1003-1 quick disconnect ensures reliable module connections for pesticide monitoring, semi-volatile compound sampling, and PFAS collection programs in ambient air quality monitoring networks.