核心技术

Core Principle

Micro Fuel Cell Electrochemical Gas Sensors
Traditional Electrochemical Gas Sensors
Catalytic Combustion Gas Sensor Technology
Metal Oxide Gas Sensor
MEMS Low-Power Gas Sensor
NDIR Gas Sensor

Core Technology

Targeted Catalyst

In the process of catalyst preparation, in-situ targeted reduction method is used to synthesize catalysts with specific crystal structures to achieve excellent detection performance for specific gases.

- Precious metal materials-Targeted reduction-Anti organic silicon poisoning-Strong catalytic activity
Ture Solid Electrolyte

Designed based on the principle of industry-leading micro fuel cells, true solid electrolytes are adopted to reduce the volume of the sensors.

- Ture Solid Electrolyte-No failure or leakage-Up to 10 Years Service Life
Gas Diffusion Electrodes

Applied in selective gas sensors, they not only effectively enhance the microscopic catalytic activity of the electrodes but also significantly improve the macroscopic surface structure of the catalytic layer, thereby increasing the stability of the electrodes.

-Stable Three-Phase Reaction -High Consistency-Strong Microscopic Catalytic Activity-Excellent Macroscopic Surface Structure
Oxygen Supply Channel

All electrochemical sensors of ProSense Sensing are designed with independent oxygen supply channels to ensure the closed-loop nature of the reaction and effective detection.

-Independent Oxygen Supply-Effective Detection-Good Linearity
Anti-silicone Poisoning Ability

The anti-silicone poisoning performance of the sensor is improved by adding inorganic chemical materials to the carrier. Even under the influence of silicone, the components can still maintain effective performance within a certain period.

-Selective Detection-Micro-detection Technology
Temperature and Humidity Compensation Algorithm

The module products are equipped with temperature and humidity sensors. Combined with the advanced full-scale temperature and humidity compensation algorithm, the accuracy of data can be improved in extreme environments.

-Improve Product Precision-Neural Network Algorithm-Reduce the Impact of Environmental Changes