liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Selectivity enhancement of SiC-FET gas sensors by combining temperature and gate bias cycled operation using multivariate statistics
Linköpings universitet, Institutionen för fysik, kemi och biologi, Tillämpad sensorvetenskap. Linköpings universitet, Tekniska högskolan.
University of Saarland, Germany .
Linköpings universitet, Institutionen för fysik, kemi och biologi, Tillämpad sensorvetenskap. Linköpings universitet, Tekniska högskolan.ORCID-id: 0000-0002-2817-3574
Linköpings universitet, Institutionen för fysik, kemi och biologi, Tillämpad sensorvetenskap. Linköpings universitet, Tekniska högskolan.
Vise andre og tillknytning
2014 (engelsk)Inngår i: Sensors and actuators. B, Chemical, ISSN 0925-4005, E-ISSN 1873-3077, Vol. 193, s. 931-940Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In this paper temperature modulation and gate bias modulation of a gas sensitive field effect transistor based on silicon carbide (SiC-FET) are combined in order to increase the selectivity. Data evaluation based on extracted features describing the shape of the sensor response was performed using multivariate statistics, here by Linear Discriminant Analysis (LDA). It was found that both temperature cycling and gate bias cycling are suitable for quantification of different concentrations of carbon monoxide. However, combination of both approaches enhances the stability of the quantification, respectively the discrimination of the groups in the LDA scatterplot. Feature selection based on the stepwise LDA algorithm as well as selection based on the loadings plot has shown that features both from the temperature cycle and from the bias cycle are equally important for the identification of carbon monoxide, nitrogen dioxide and ammonia. In addition, the presented method allows discrimination of these gases independent of the gas concentration. Hence, the selectivity of the FET is enhanced considerably.

sted, utgiver, år, opplag, sider
Elsevier , 2014. Vol. 193, s. 931-940
Emneord [en]
SiC-FET; Temperature modulation; Gate bias modulation; Selectivity; Feature extraction; Pattern recognition
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-104641DOI: 10.1016/j.snb.2013.12.030ISI: 000330113600130OAI: oai:DiVA.org:liu-104641DiVA, id: diva2:698196
Tilgjengelig fra: 2014-02-20 Laget: 2014-02-20 Sist oppdatert: 2017-12-06

Open Access i DiVA

fulltext(1425 kB)654 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1425 kBChecksum SHA-512
ed30cab41100ff8f7b48c4ed2bef9322c694a2dee1209552da54133556741f3ae0017649afc1cfb5e5bc033bef2fda47c0a4583618444fa94fd8d515a5a67918
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekst

Personposter BETA

Bur, ChristianLloyd Spetz, AnitaAndersson, Mike

Søk i DiVA

Av forfatter/redaktør
Bur, ChristianLloyd Spetz, AnitaAndersson, Mike
Av organisasjonen
I samme tidsskrift
Sensors and actuators. B, Chemical

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 654 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 415 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf