Detection of CO and NO using low power metal oxide sensors

2008 ◽  
Vol 205 (11) ◽  
pp. 2643-2646 ◽  
Author(s):  
R. Triantafyllopoulou ◽  
C. Tsamis
Keyword(s):  
Metal Oxide ◽  
Low Power ◽  
Metal Oxide Sensors

Development of Ultra-Low Power Metal Oxide Sensors and Arrays for Embedded Applications

2011 ◽  
Author(s):  
Brent Lutz ◽  
Rikard Wind ◽  
Clayton Kostelecky ◽  
Dmitri Routkevitch ◽  
Debra Deininger ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Low Power ◽  
Ultra Low Power ◽  
Metal Oxide Sensors ◽  
Embedded Applications

Sulfur Dioxide Sensors

2021 ◽  
Keyword(s):  
Ionic Liquids ◽  
Sulfur Dioxide ◽  
Metal Oxide ◽  
Gas Sensors ◽  
Optical Sensors ◽  
Recent Progress ◽  
Amperometric Sensors ◽  
Metal Oxide Sensors ◽  
Semiconducting Metal Oxide

Recent progress on the sensing and monitoring of sulfur dioxide in the environment is presented. The sensing materials covered include potentiometric gas sensors, amperometric sensors, optical sensors involving colorimetric and fluorescence changes, sensors based on ionic liquids, semiconducting metal-oxide sensors, photoacoustic detectors and biosensors.

scholarly journals Sensitive and Low-Power Metal Oxide Gas Sensors with a Low-Cost Microelectromechanical Heater

ACS Omega ◽  
2021 ◽  
Author(s):  
Yulong Chen ◽  
Mingjie Li ◽  
Wenjun Yan ◽  
Xin Zhuang ◽  
Kar Wei Ng ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Low Power ◽  
Gas Sensors ◽  
Low Cost ◽  
Metal Oxide Gas Sensors

scholarly journals Improving Air Pollutant Metal Oxide Sensor Quantification Practices through: An Exploration of Sensor Signal Normalization, Multi-Sensor and Universal Calibration Model Generation, and Physical Factors Such as Co-Location Duration and Sensor Age

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 645
Author(s):  
Kristen Okorn ◽  
Michael Hannigan
Keyword(s):  
Metal Oxide ◽  
Low Cost ◽  
Air Pollutant ◽  
Sensor System ◽  
Physical Factors ◽  
Time Averaging ◽  
Calibration Model ◽  
Sensor Signal ◽  
Metal Oxide Sensors ◽  
Signal Normalization

As low-cost sensors have become ubiquitous in air quality measurements, there is a need for more efficient calibration and quantification practices. Here, we deploy stationary low-cost monitors in Colorado and Southern California near oil and gas facilities, focusing our analysis on methane and ozone concentration measurement using metal oxide sensors. In comparing different sensor signal normalization techniques, we propose a z-scoring standardization approach to normalize all sensor signals, making our calibration results more easily transferable among sensor packages. We also attempt several different physical co-location schemes, and explore several calibration models in which only one sensor system needs to be co-located with a reference instrument, and can be used to calibrate the rest of the fleet of sensor systems. This approach greatly reduces the time and effort involved in field normalization without compromising goodness of fit of the calibration model to a significant extent. We also explore other factors affecting the performance of the sensor system quantification method, including the use of different reference instruments, duration of co-location, time averaging, transferability between different physical environments, and the age of metal oxide sensors. Our focus on methane and stationary monitors, in addition to the z-scoring standardization approach, has broad applications in low-cost sensor calibration and utility.

scholarly journals Nanostructure-directed chemical sensing: The IHSAB principle and the dynamics of acid/base-interface interaction

2013 ◽  
Vol 4 ◽  
pp. 20-31 ◽  
Author(s):  
James L Gole ◽  
William Laminack
Keyword(s):  
Metal Oxide ◽  
Self Assembly ◽  
Chemical Sensing ◽  
Optical Pumping ◽  
Relative Strength ◽  
Acid Base ◽  
Semiconductor Interfaces ◽  
Surface Basicity ◽  
Metal Oxide Sensors ◽  
Type Semiconductor

Nanostructure-decorated n-type semiconductor interfaces are studied in order to develop chemical sensing with nanostructured materials. We couple the tenets of acid/base chemistry with the majority charge carriers of an extrinsic semiconductor. Nanostructured islands are deposited in a process that does not require self-assembly in order to direct a dominant electron-transduction process that forms the basis for reversible chemical sensing in the absence of chemical-bond formation. Gaseous analyte interactions on a metal-oxide-decorated n-type porous silicon interface show a dynamic electron transduction to and from the interface depending upon the relative strength of the gas and metal oxides. The dynamic interaction of NO with TiO2, SnO2, NiO, Cu x O, and Au x O (x >> 1), in order of decreasing acidity, demonstrates this effect. Interactions with the metal-oxide-decorated interface can be modified by the in situ nitridation of the oxide nanoparticles, enhancing the basicity of the decorated interface. This process changes the interaction of the interface with the analyte. The observed change to the more basic oxinitrides does not represent a simple increase in surface basicity but appears to involve a change in molecular electronic structure, which is well explained by using the recently developed IHSAB model. The optical pumping of a TiO2 and TiO2− x N x decorated interface demonstrates a significant enhancement in the ability to sense NH3 and NO2. Comparisons to traditional metal-oxide sensors are also discussed.

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