1. Sampling system

As the starting point of the analysis process, the sampling system is responsible for stably and non destructively delivering the gas to be tested to the detection unit. Usually composed of inert materials (such as polytetrafluoroethylene or stainless steel) pipelines, particle filters, dehumidification devices, and precision pumps. Its design needs to minimize gas adsorption and cross contamination to ensure sample representativeness. Some models are equipped with automatic calibration valves to achieve seamless switching between zero gas and standard gas.

2. Sample injection and pre concentration module

Due to the extremely low concentration of the target gas, direct detection is difficult. Pre concentration techniques, such as cold trap capture and adsorption tube enrichment, can enrich target substances in gases at low temperatures, and then instantaneously desorb and inject them into detectors, significantly improving sensitivity. This module is the core of achieving "from scratch" detection, especially suitable for complex matrix analysis such as VOCs (volatile organic compounds).

3. Detector

Gas chromatography-mass spectrometry (GC-MS): Strong separation ability, accurate qualitative analysis, suitable for complex mixtures;

CRDS: Utilizing a high reflectivity optical cavity to enhance the absorption path and achieve high sensitivity;

Infrared absorption spectroscopy (NDIR): Quantitative analysis based on characteristic absorption peaks, with good stability, commonly used for CO? And CH? Wait;

Electrochemical sensor: Low cost, fast response, suitable for portable devices to detect O?, CO, etc.

4. Optical System (Spectral Instruments)

For instruments based on spectral principles, key optical paths include laser sources, multi pass cells, photodetectors, etc. Tunable diode laser (TDLAS) can accurately lock the target gas absorption line, combined with a long path absorption cell, greatly improving the detection limit.

5. Data Processing and Control System

The integrated software collects signals in real-time, deducts background noise and corrects interference through algorithms, and outputs concentration curves and alarm information. Modern instruments support remote monitoring, data traceability, and multi parameter linkage analysis.