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Selectivity enhancement of SiC-FET gas sensors by combining temperature and gate bias cycled operation using multivariate statistics.

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Title: Selectivity enhancement of SiC-FET gas sensors by combining temperature and gate bias cycled operation using multivariate statistics.
Authors: Bur, Christian1,2 c.bur@LMT.uni-saarland.de, Bastuck, Manuel1 m.batuck@lmt.uni-saarland.de, Lloyd Spetz, Anita2 spetz@ifm.liu.se, Andersson, Mike2 mikan@ifm.liu.se, Schütze, Andreas1 schuetze@lmt.uni-saarland.de
Source: Sensors & Actuators B: Chemical. Mar2014, Vol. 193, p931-940. 10p.
Subjects: Silicon carbide, Field-effect transistors, Gas detectors, Temperature effect, Ammonia, Multivariate analysis, Discriminant analysis
Abstract: Highlights: [•] Combination of temperature and gate bias modulation is presented. [•] Significant features describing the shape of the sensor response have been selected. [•] Linear Discriminant Analysis (LDA) is used for data evaluation. [•] Selectivity of the sensor can be increased by our suggested approach. [•] Discrimination of CO, NO2 and NH3 independent of the concentration is possible. [ABSTRACT FROM AUTHOR]
Copyright of Sensors & Actuators B: Chemical is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 94050451
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Selectivity enhancement of SiC-FET gas sensors by combining temperature and gate bias cycled operation using multivariate statistics.
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  Data: <searchLink fieldCode="AR" term="%22Bur%2C+Christian%22">Bur, Christian</searchLink><relatesTo>1,2</relatesTo><i> c.bur@LMT.uni-saarland.de</i><br /><searchLink fieldCode="AR" term="%22Bastuck%2C+Manuel%22">Bastuck, Manuel</searchLink><relatesTo>1</relatesTo><i> m.batuck@lmt.uni-saarland.de</i><br /><searchLink fieldCode="AR" term="%22Lloyd+Spetz%2C+Anita%22">Lloyd Spetz, Anita</searchLink><relatesTo>2</relatesTo><i> spetz@ifm.liu.se</i><br /><searchLink fieldCode="AR" term="%22Andersson%2C+Mike%22">Andersson, Mike</searchLink><relatesTo>2</relatesTo><i> mikan@ifm.liu.se</i><br /><searchLink fieldCode="AR" term="%22Schütze%2C+Andreas%22">Schütze, Andreas</searchLink><relatesTo>1</relatesTo><i> schuetze@lmt.uni-saarland.de</i>
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  Data: <searchLink fieldCode="JN" term="%22Sensors+%26+Actuators+B%3A+Chemical%22">Sensors & Actuators B: Chemical</searchLink>. Mar2014, Vol. 193, p931-940. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Silicon+carbide%22">Silicon carbide</searchLink><br /><searchLink fieldCode="DE" term="%22Field-effect+transistors%22">Field-effect transistors</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+detectors%22">Gas detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Temperature+effect%22">Temperature effect</searchLink><br /><searchLink fieldCode="DE" term="%22Ammonia%22">Ammonia</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Discriminant+analysis%22">Discriminant analysis</searchLink>
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  Data: Highlights: [•] Combination of temperature and gate bias modulation is presented. [•] Significant features describing the shape of the sensor response have been selected. [•] Linear Discriminant Analysis (LDA) is used for data evaluation. [•] Selectivity of the sensor can be increased by our suggested approach. [•] Discrimination of CO, NO2 and NH3 independent of the concentration is possible. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Sensors & Actuators B: Chemical is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=94050451
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        Value: 10.1016/j.snb.2013.12.030
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      – Code: eng
        Text: English
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      – SubjectFull: Silicon carbide
        Type: general
      – SubjectFull: Field-effect transistors
        Type: general
      – SubjectFull: Gas detectors
        Type: general
      – SubjectFull: Temperature effect
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      – SubjectFull: Ammonia
        Type: general
      – SubjectFull: Multivariate analysis
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      – SubjectFull: Discriminant analysis
        Type: general
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      – TitleFull: Selectivity enhancement of SiC-FET gas sensors by combining temperature and gate bias cycled operation using multivariate statistics.
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            NameFull: Bur, Christian
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              Text: Mar2014
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