Dr. Laura R. Skubal Profile

Dr. Laura R. Skubal

Doctor at Argonne National Lab

SPIE Involvement:

Author

Proceedings Article | 7 December 2004 Paper

Detection of toxic gases using cermet sensors

Laura Skubal, Michael Vogt

Proceedings Volume 5586, (2004) https://doi.org/10.1117/12.570029

KEYWORDS: Sensors, Gases, Oxides, Gas sensors, Metals, Toxic gases, Chemometrics, Oxygen, Neural networks, Scanning electron microscopy

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Proceedings Article | 14 February 2001 Paper

Monitoring the electrical response of photoinduced organic oxidation on TiO2 surfaces

Laura Skubal, Michael Vogt, Natalia Meshkov

Proceedings Volume 4199, (2001) https://doi.org/10.1117/12.417376

KEYWORDS: Sensors, Bioalcohols, Ultraviolet radiation, Gases, Amplifiers, Natural surfaces, Aluminum, Electrons, Oxidation, Titanium dioxide

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Proceedings Article | 10 February 1999 Paper

Active voltammetric microsensors with neural signal processing

Michael Vogt, Laura Skubal

Proceedings Volume 3534, (1999) https://doi.org/10.1117/12.339022

KEYWORDS: Sensors, Chemical analysis, Microsensors, Signal processing, Prototyping, Gases, Neural networks, Signal attenuation, Electrodes, Feedback control

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Many industrial and environmental processes, including bioremediation, would benefit from the feedback and control information provided by a local multi-analyte chemical sensor. For most processes, such a sensor would need to be rugged enough to be placed in situ for long-term remote monitoring, and inexpensive enough to be fielded in useful numbers. The multi-analyte capability is difficult to obtain from common passive sensors, but can be provided by an active device that produces a spectrum-type response. Such new active gas microsensor technology has been developed at Argonne National Laboratory. The technology couples an electrocatalytic ceramic-metallic (cermet) microsensor with a voltammetric measurement technique and advanced neural signal processing. It has been demonstrated to be flexible, rugged, and very economical to produce and deploy. Both narrow interest detectors and wide spectrum instruments have been developed around this technology. Much of this technology's strength lies in the active measurement technique employed. The technique involves applying voltammetry to a miniature electrocatalytic cell to produce unique chemical 'signatures' from the analytes. These signatures are processed with neural pattern recognition algorithms to identify and quantify the components in the analyte. The neural signal processing allows for innovative sampling and analysis strategies to be employed with the microsensor. In most situations, the whole response signature from the voltammogram can be used to identify, classify, and quantify an analyte, without dissecting it into component parts. This allows an instrument to be calibrated once for a specific gas or mixture of gases by simple exposure to a multi-component standard rather than by a series of individual gases. The sampled unknown analytes can vary in composition or in concentration; the calibration, sensing, and processing methods of these active voltammetric microsensors can detect, recognize, and quantify different signatures and support subsequent analyses. The instrument can be trained to recognize and report expected analyte components (within some tolerance), but also can alarm when unexpected components are detected. Unknowns can be repeat-sampled to build a reference library for later post processing and verification.

Conference Committee Involvement (4)

Chemical and Biological Sensors for Industrial and Environmental Monitoring III

12 September 2007 | Boston, MA, United States

Chemical and Biological Sensors for Industrial and Environmental Monitoring II

3 October 2006 | Boston, Massachusetts, United States

Chemical and Biological Sensors for Industrial and Environmental Security

25 October 2005 | Boston, MA, United States

Chemical and Biological Point Sensors for Homeland Defense II

26 October 2004 | Philadelphia, Pennsylvania, United States

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