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Sputtered and screen-printed metal oxide-based integrated microsensor arrays for the quantitative analysis of gas mixtures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F04%3APU59213" target="_blank" >RIV/00216305:26220/04:PU59213 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sputtered and screen-printed metal oxide-based integrated microsensor arrays for the quantitative analysis of gas mixtures

  • Original language description

    Either by screen-printing or sputtering, sensitive layers of tin oxide were deposited on silicon micromachined substrates (four-element integrated microarrays). The procedures allow the deposition of sensing layers before membranes have been etched, which leads to gas micro-sensors with an excellent fabrication yield. The response of the different microarrays to ethanol, acetone and ammonia vapours and their binary mixtures was studied. The influence of ambient humidity was also investigated. By using an integrated array of four integrated microsensors operated at two different temperatures and a fuzzy ARTMAP neural network, it was possible to simultaneously identify and quantify the different species (success rate was 100%). These results confirm theviability of the techniques introduced to obtain micromachined sensors suitable for battery-powered gas/vapour monitors.

  • Czech name

    Sputtered and screen-printed metal oxide-based integrated microsensor arrays for the quantitative analysis of gas mixtures

  • Czech description

    Either by screen-printing or sputtering, sensitive layers of tin oxide were deposited on silicon micromachined substrates (four-element integrated microarrays). The procedures allow the deposition of sensing layers before membranes have been etched, which leads to gas micro-sensors with an excellent fabrication yield. The response of the different microarrays to ethanol, acetone and ammonia vapours and their binary mixtures was studied. The influence of ambient humidity was also investigated. By using an integrated array of four integrated microsensors operated at two different temperatures and a fuzzy ARTMAP neural network, it was possible to simultaneously identify and quantify the different species (success rate was 100%). These results confirm theviability of the techniques introduced to obtain micromachined sensors suitable for battery-powered gas/vapour monitors.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2004

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Sensors and Actuators B: Chemical

  • ISSN

    0925-4005

  • e-ISSN

  • Volume of the periodical

    103

  • Issue of the periodical within the volume

    1-2

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    8

  • Pages from-to

    23-30

  • UT code for WoS article

  • EID of the result in the Scopus database