Chemical crosstalk between heated gas microsensor elements operating in close proximity

Wheeler, M. Clayton; Tiffany, Jason E.; Walton, R M.; Cavicchi, Richard E.; Semancik, Steve

doi:10.1016/s0925-4005(01)00689-x

Cited by 26 publications

(12 citation statements)

References 15 publications

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“…thick film sensor was exposed to CO gas [4,5]. Since then, there has been some investigation into this type of CO sensing mechanism and its applications [6][7][8][9][10]. Different results and explanations have been given [11][12][13], however, this phenomenon is still not yet fully understood.…”

Section: Introductionmentioning

confidence: 99%

A study of CO sensors with oscillatory response

Li¹,

Włodarski²,

Galatsis³

et al. 2003

Sensors and Actuators B: Chemical

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Section: Introductionmentioning

confidence: 99%

A study of CO sensors with oscillatory response

Li¹,

Włodarski²,

Galatsis³

et al. 2003

Sensors and Actuators B: Chemical

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“…It is the mode we have used to confirm film sensitivity to analytes and to assess signal as a function of concentration (i.e., dynamic range). This mode has been frequently used in prior exploratory studies designed to characterize both materials and analyte responses as well as cross-talk between sensing elements in the same array (13,15). Figure 5 (16) shows an example of an FTS plot for two sensors (one SnO 2 , the other TiO 2 ) exposed to the nerve agent GB (sarin) at a series of concentrations.…”

Section: Fixed-temperature Sensingmentioning

confidence: 99%

Detecting Chemical Hazards with Temperature-Programmed Microsensors: Overcoming Complex Analytical Problems with Multidimensional Databases

Meier

Raman

Semancik

2009

Annual Rev. Anal. Chem.

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Complex analytical problems, such as detecting trace quantities of hazardous chemicals in challenging environments, require solutions that most effectively extract relevant information about a sample's composition. This review presents a chemiresistive microarray-based approach to identifying targets that combines temperature-programmed elements capable of rapidly generating analytically rich data sets with statistical pattern recognition algorithms for extracting multivariate chemical fingerprints. We describe the chemical-microsensor platform and discuss its ability to generate orthogonal data through materials selection and temperature programming. Visual inspection of data sets reveals device selectivity, but statistical analyses are required to perform more complex identification tasks. Finally, we discuss recent advances in both devices and algorithms necessary to deal with practical issues involved in long-term deployment. These issues include identification and correction of signal drift, challenges surrounding real-time unsupervised operation, repeatable device manufacturability, and hierarchical classification schemes designed to deduce the chemical composition of untrained analyte species.

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“…Only sensors with various output signals to the analysed atmosphere can give enough information for gas recognition and concentration determination. An optimum working of the gas sensor array can be achieved by [16,17,18]:…”

Section: Gas Sensor Arra Ysmentioning

confidence: 99%

Methods of selectivity improvements of semiconductor gas sensors

Halek

Malewicz

Teterycz

2009

2009 International Students and Young Scientists Workshop "Photonics and Microsystems"

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In this paper, methods for selectivity improvement of semiconductor gas sensors are presented. The frequently used techniques are: temperature modulation, synthesis of new materials, designing new sensor constructions, adopting filter layers and using of sensors array. A comparison between the different methods has been made. It was concluded that the kind of sensing material and filter layer have a strong influence on the sensor parameters. The analysis has shown that the optimal detection temperature change when using multilayer gas sensors.

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Chemical crosstalk between heated gas microsensor elements operating in close proximity

Cited by 26 publications

References 15 publications

A study of CO sensors with oscillatory response

A study of CO sensors with oscillatory response

Detecting Chemical Hazards with Temperature-Programmed Microsensors: Overcoming Complex Analytical Problems with Multidimensional Databases

Methods of selectivity improvements of semiconductor gas sensors

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