Nanoz Group provides highly selective metal oxide (MOx) gas sensors that accurately identify specific gases in complex environments. Their patented technology enables precise gas discrimination with reduced energy consumption and an extended detection range, ideal for connected devices and air quality monitoring systems.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional metal oxide semiconductor (MOS) gas sensors often struggle with selectivity, leading to false positives or missed detections in complex environments. This lack of specificity limits their effectiveness in applications requiring precise gas identification, such as environmental monitoring and industrial safety.
Solution
Nanoz Group develops and manufactures highly selective MOS gas sensors utilizing proprietary metal oxide (MOx) technology. These sensors are designed for integration into a wide array of connected devices and air quality monitoring systems, offering enhanced detection range and reliability. The core innovation lies in a patented approach that enables single-sensor gas discrimination through dynamic temperature modulation and advanced data analysis. This technology allows for precise identification of specific gases, even in mixed environments, at a fraction of the cost of traditional analytical methods.
Target Audience
The primary target audience includes manufacturers of connected devices, developers of air quality monitoring systems, and industries requiring precise gas detection for personal safety, industrial processes, and environmental regulations.
Features
- Patented MOx sensor technology enabling high gas selectivity.
- Ultra-compact form factor: 1.15mm x 1.15mm x 0.45mm.
- Extended detection range, reportedly 4x greater than comparable sensors.
- Significantly reduced energy consumption, consuming one-tenth the power of similar MOx sensors.
- Enhanced reliability and extended operational lifespan.
- Manufacturing process optimized for cost-effectiveness and flexibility.
- Data analysis methodology leveraging temporal attributes and Principal Component Analysis (PCA) for gas discrimination.
- Sensor architecture featuring integrated heaters on the same plane as the sensing element for efficient thermal modulation.