ABTEX/BTEX Analyzers
- Description
- Application
- Brochure
The Baseline® 9000 Total Hydrocarbon Analyzer is a microprocessor-based instrument designed for continuous ambient or process hydrocarbon gas measurement in environmental or industrial settings. The total hydrocarbon analyzer can be purchased in a variety of configurations with internal components for single or multi-point sampling (with or without a sample pump) for pre-filtered non-condensing samples.
Detection limits down to < 10 ppb. User-programmable ranges from 1 ppm up to 100% as methane (CH4) are factory-configured per the customer’s application to facilitate installation and setup. Using a Flame Ionization Detector (FID), AMETEK MOCON’s FlowGuard electronic control regulates the delivery of fuel, air, and a small portion of the sample gas, to the FID. During the combustion process, organic or hydrocarbon-based gases in the sample are ionized, detected by the instrument, and then reported as a concentration. The automatic calibration feature enhances the long-term analytical stability of the instrument. All instrument parameters are reported clearly and continually refreshed on a large, graphical LCD display. Using analog, digital, and logic output communication capabilities, analytical information from the analyzer can be acquired using an external PC and a simple communications program such as Windows® HyperTerminal or the analyzer can output binary or ASCII formats directly to a data acquisition system or PLC. Every Baseline 9000 analyzer includes AMETEK MOCON’s free PC utility 9000 Keeper used for storing and uploading multiple methods, as well as sending configuration settings, directly to the analyzer.
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Environmental Monitoring
- AMC in Cleanrooms
- Air Quality Monitoring
- Fugitive Emission Monitoring
Toxic Gas Monitoring
- Indoor Air Quality
- Leak Detection
- OEM PID Sensors
Industrial Process Analysis & Control
- Beverage Gas Monitoring
- Industrial Gas Mixing Control
- Process Gas Analysis
- Specialty and Industrial Gas Monitoring
- Surface Logging Analysis