skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Exploiting Cross-sensitivity by Bayesian Decoding of Mixed Potential Sensor Arrays

Abstract

LANL mixed-potential electrochemical sensor (MPES) device arrays were coupled with advanced Bayesian inference treatment of the physical model of relevant sensor-analyte interactions. We demonstrated that our approach could be used to uniquely discriminate the composition of ternary gas sensors with three discreet MPES sensors with an average error of less than 2%. We also observed that the MPES exhibited excellent stability over a year of operation at elevated temperatures in the presence of test gases.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1396156
Report Number(s):
LA-UR-17-28953
DOE Contract Number:
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; Energy Sciences

Citation Formats

Kreller, Cortney. Exploiting Cross-sensitivity by Bayesian Decoding of Mixed Potential Sensor Arrays. United States: N. p., 2017. Web. doi:10.2172/1396156.
Kreller, Cortney. Exploiting Cross-sensitivity by Bayesian Decoding of Mixed Potential Sensor Arrays. United States. doi:10.2172/1396156.
Kreller, Cortney. 2017. "Exploiting Cross-sensitivity by Bayesian Decoding of Mixed Potential Sensor Arrays". United States. doi:10.2172/1396156. https://www.osti.gov/servlets/purl/1396156.
@article{osti_1396156,
title = {Exploiting Cross-sensitivity by Bayesian Decoding of Mixed Potential Sensor Arrays},
author = {Kreller, Cortney},
abstractNote = {LANL mixed-potential electrochemical sensor (MPES) device arrays were coupled with advanced Bayesian inference treatment of the physical model of relevant sensor-analyte interactions. We demonstrated that our approach could be used to uniquely discriminate the composition of ternary gas sensors with three discreet MPES sensors with an average error of less than 2%. We also observed that the MPES exhibited excellent stability over a year of operation at elevated temperatures in the presence of test gases.},
doi = {10.2172/1396156},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2017,
month =
}

Technical Report:

Save / Share:
  • The development of on-board sensors for emissions monitoring is necessary for continuous monitoring of the performance of catalytic systems in automobiles. We have fabricated mixed potential electrochemical gas sensing devices with Pt, La 0.8Sr 0.2CrO 3 (LSCO), and Au/Pd alloy electrodes and a porous yttria-stabilized zirconia electrolyte. The three-electrode design takes advantage of the preferential selectivity of the Pt + Au/Pd and Pt + LSCO pairs towards different species of gases and has additional tunable selectivity achieved by applying a current bias to the latter pair. Voltages were recorded in single, binary, and ternary gas streams of NO, NO 2,more » C 3H 8, and CO. We have also trained artificial neural networks to examine the voltage output from sensors in biased and unbiased modes to both identify which single test gas or binary mixture of two test gases is present in a gas stream as well as extract concentration values. We were then able to identify single and binary mixtures of these gases with accuracy of at least 98%. For determining concentration, the peak in the error distribution for binary mixtures was 5% and 80% of test data fell under <12% error. The sensor stability was also evaluated over the course of over 100 days and the ability to retrain ANNs with a small dataset was demonstrated.« less
  • Stroke is a major cause of mortality and is the primary cause of long-term disability in the United States. A recent study of Stroke incidence, using conservative calculations, suggests that over 700,000 people annually in this country will have a stroke. Of these 700,000, approximately 150,000 will die and 400,000 will be left with a significant deficit; only one quarter will return to an independent--although not necessarily baseline--level of functioning. The costs of caring for victims of stroke in the acute phase, chronic care, and lost productivity amount to 40 billion per year. Of all strokes, approximately 20% are hemorrhagicmore » and 20% are due to small vessel disease. Thus, the number of people with large vessel thromboembolic disease and the target population of this research is greater than 400,000. Currently, the only approved therapy for treatment of acute ischemic stroke is intravenous thrombolytic drugs. While stroke patients who receive these drugs are more likely to have better outcomes than those who do not, their improvement is highly dependent on the initiation of treatment within three hours of the onset of symptoms, with an increased risk of intracranial hemorrhage if the medication is begun outside this time window. With this rigid temporal limitation, and with the concern over intracranial hemorrhage, only 2-3% of people with acute stroke are currently being treated by these means. There is ongoing research for a second treatment methodology involving the use of mechanical devices for removing the thrombus (clot) in stroke victims. Two recent reports of a mechanical removal of thrombus, with subsequent improved patient outcome, highlight the potential of this developing technology. Researchers in the MTP are responsible for one of the photomechanical devices under FDA trials. It is conceivable that in the near-term, a second approved therapy for treatment of acute ischemic stroke will involve the mechanical removal of the thrombus. Stroke is a major thrust area for the Medical Technology Program (M-division). Through MTP, LLNL has a sizable investment and recognizable expertise in stroke treatment research. The proposed microdot array sensor for stroke will complement this existing program in which mechanical devices are being designed for removing the thrombus. The following list of stroke projects and their relative status shows that MTP has a proven track record of taking ideas to industry: The goal of this LDRD funded project was to develop and demonstrate a minimally invasive optical fiber-based sensor for rapid and in-vivo measurements of multiple stroke biomarkers (e.g. pH and enzyme). The development of this sensor also required the development of a new fabrication technology for attaching indicator chemistries to optical fibers. A benefit of this work is to provide clinicians with a tool to assess vascular integrity of the region beyond the thrombus to determine whether or not it is safe to proceed with the removal of the clot. Such an assessment could extend the use of thrombolytic drug treatment to acute stroke victims outside the current rigid temporal limitation of 3 hours. Furthermore, this sensor would also provide a tool for use with emerging treatments involving the use of mechanical devices for removing the thrombus. The sensor effectively assesses the risk for reperfusion injury.« less
  • The Office of the Manager, National Communications System (OMNCS) has developed a system-level approach for estimating the effects of High-Altitude Electromagnetic Pulse (HEMP) on the connectivity of telecommunications networks. This approach incorporates a Bayesian statistical model which estimates the HEMP-induced failure probabilities of telecommunications switches and transmission facilities. The purpose of this analysis is to address the sensitivity of the Bayesian model. This is done by systematically varying two model input parameters--the number of observations, and the equipment failure rates. Throughout the study, a non-informative prior distribution is used. The sensitivity of the Bayesian model to the noninformative prior distributionmore » is investigated from a theoretical mathematical perspective.« less
  • The recent development of chemical sensor arrays promises to solve some of the industrial, military, and domestic problems of gas detection and monitoring, but there are many problem areas to be addressed before these types of devices become readily available. The work presented here represents initial expeditions into a new, hybrid discipline for chemical analysis that combines materials science, chemical sensing techniques, and the application of pattern recognition for automatic information extraction. Specifically, two kinds of chemical sensor array design and construction are discussed. The nature of the outputs from these sensor arrays is examined for qualities such as informationmore » content, stability, reliability, and accuracy. Several methods of pattern recognition are explored for their ability to classify sensor array information. Preliminary results indicate much promise in the use of neural networks for the analysis of mixtures, which is a vexing problem. It is found that the most appropriate pattern recognition technique depends to a large degree on the complexity of the sensing problem. 21 refs., 30 figs., 5 tabs.« less
  • Market research and investigation of emerging gas concentration sensor technologies were conducted in preparation for a program to develop low-cost sensor arrays for emissions monitoring and control. Those activities constituted Phase I of the program and are the subject of this report. Recent Federal and regional air quality regulations are discussed in the report. Projections are made about the effect of that legislation upon forthcoming emissions instrumentation needs of industrial and institutional natural gas users. Results are summarized of interviews with 198 industrial and institutional natural gas users who were polled to learn their experiences with combustion control instrumentation andmore » their priorities for characteristics of new instrumentation. Literature and patent searches were made of oxygen, CO and NOx sensing technologies, and those most promising for low-cost sensor arrays are discussed. Comparative tests of various oxygen sensing technologies were made and the results reported. Recommendations for future product development are made.« less