7200CTS / 7650-M MillionAir-CTS™ Trace Air & Gas Analysis System
Brochures and specifications | 2019 | ENTECHInstrumentation
The analysis of trace volatile organic compounds (VOCs) in air and soil gas is critical for environmental monitoring, industrial hygiene and regulatory compliance. High-throughput, sensitive and contamination-free preconcentration methods accelerate sample turnaround, enhance data quality and reduce laboratory costs. The MillionAir-CTS™ system represents a significant advance in automated gas analysis, addressing common challenges such as trap carry-over, water interference and throughput bottlenecks.
This review examines the design features, performance enhancements and economic impact of the Entech 7200CTS / 7650-M MillionAir-CTS™ preconcentration system. Key objectives include assessing cycle time reductions, sample screening capabilities, automation capacity and shipping optimization compared to conventional cold-trap dehydration (CTD) instruments.
The 7200CTS employs a patented multi-capillary column trapping system (MCCTS) for cryogen-free concentration of compounds from –50 °C to 230 °C. It pairs with the 7650-M direct-inlet robotic autosampler featuring:
Automation supports up to 24 of the new 2 L canisters or 48 of the 450 mL canisters for unattended operation, with inline QC checks every 20 samples.
Comparative timing shows up to 17 minutes saved per run versus legacy LN₂-based CTD systems, yielding 17–20 % higher daily throughput. Screening runs require only 6 minutes injection-to-injection under isothermal GC-MS, enabling 240 rapid checks per day to intercept high-concentration samples. Carry-over after a 10 000 ppbv challenge was below 1 part in 50 000, ensuring system hygiene and zero unexpected downtime. Water interference is nearly eliminated with capillary traps.
The MillionAir-CTS™ system delivers:
These improvements suit TO-15 laboratories, soil-gas investigations and high-volume screening workflows.
Emerging developments include integration with real-time data analytics, coupling MCCTS with high-resolution mass spectrometry and miniaturization for field-deployable units. Further advances in sorbent materials and digital valve control will drive even faster, more selective analyte capture and multi-matrix compatibility.
The Entech MillionAir-CTS™ system sets a new benchmark for automated trace air and soil gas analysis. By combining cryogen-free multi-capillary trapping, direct inlet robotics and rapid screening, it achieves superior throughput, sensitivity and system uptime. These gains translate into significant cost savings and operational resilience for modern environmental and industrial laboratories.
No formal literature citations were provided in the source document.
Thermal desorption
IndustriesEnvironmental
ManufacturerENTECH
Summary
Importance of the Topic
The analysis of trace volatile organic compounds (VOCs) in air and soil gas is critical for environmental monitoring, industrial hygiene and regulatory compliance. High-throughput, sensitive and contamination-free preconcentration methods accelerate sample turnaround, enhance data quality and reduce laboratory costs. The MillionAir-CTS™ system represents a significant advance in automated gas analysis, addressing common challenges such as trap carry-over, water interference and throughput bottlenecks.
Study Goals and Overview
This review examines the design features, performance enhancements and economic impact of the Entech 7200CTS / 7650-M MillionAir-CTS™ preconcentration system. Key objectives include assessing cycle time reductions, sample screening capabilities, automation capacity and shipping optimization compared to conventional cold-trap dehydration (CTD) instruments.
Methodology and Instrumentation
The 7200CTS employs a patented multi-capillary column trapping system (MCCTS) for cryogen-free concentration of compounds from –50 °C to 230 °C. It pairs with the 7650-M direct-inlet robotic autosampler featuring:
- Silonite-D™ coated transfer line to minimize adsorption and eliminate stream-select valves
- SampleSafe loop injection for rapid bypass screening
- Micro-QT™ ergonomic snap-on valves for tool-free canister connection
Automation supports up to 24 of the new 2 L canisters or 48 of the 450 mL canisters for unattended operation, with inline QC checks every 20 samples.
Main Results and Discussion
Comparative timing shows up to 17 minutes saved per run versus legacy LN₂-based CTD systems, yielding 17–20 % higher daily throughput. Screening runs require only 6 minutes injection-to-injection under isothermal GC-MS, enabling 240 rapid checks per day to intercept high-concentration samples. Carry-over after a 10 000 ppbv challenge was below 1 part in 50 000, ensuring system hygiene and zero unexpected downtime. Water interference is nearly eliminated with capillary traps.
Benefits and Practical Applications
The MillionAir-CTS™ system delivers:
- Enhanced sensitivity down to low ppb levels with 0.1 cc sample loops
- Robust quantitative accuracy across varied matrices (air, humid air, inert gases)
- Reduced shipping costs by using smaller canisters (2 L vs 6 L)
- Tool-free, rapid canister handling that prevents valve damage
These improvements suit TO-15 laboratories, soil-gas investigations and high-volume screening workflows.
Future Trends and Applications
Emerging developments include integration with real-time data analytics, coupling MCCTS with high-resolution mass spectrometry and miniaturization for field-deployable units. Further advances in sorbent materials and digital valve control will drive even faster, more selective analyte capture and multi-matrix compatibility.
Conclusion
The Entech MillionAir-CTS™ system sets a new benchmark for automated trace air and soil gas analysis. By combining cryogen-free multi-capillary trapping, direct inlet robotics and rapid screening, it achieves superior throughput, sensitivity and system uptime. These gains translate into significant cost savings and operational resilience for modern environmental and industrial laboratories.
References
No formal literature citations were provided in the source document.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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