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Analytical Gas Sensing in the Terahertz Spectral Range.
Abina, Andreja; Puc, Uros; Jazbinsek, Mojca; Zidansek, Aleksander.
Affiliation
  • Abina A; Jozef Stefan International Postgraduate School, Jamova cesta 39, SI-1000 Ljubljana, Slovenia.
  • Puc U; Jozef Stefan International Postgraduate School, Jamova cesta 39, SI-1000 Ljubljana, Slovenia.
  • Jazbinsek M; Institute of Computational Physics, Zurich University of Applied Sciences (ZHAW), Forschungsschwerpunkt Organic Electronics & Photovoltaics, Technikumstrasse 71, 8400 Winterthur, Switzerland.
  • Zidansek A; Institute of Computational Physics, Zurich University of Applied Sciences (ZHAW), Forschungsschwerpunkt Organic Electronics & Photovoltaics, Technikumstrasse 71, 8400 Winterthur, Switzerland.
Micromachines (Basel) ; 14(11)2023 Oct 27.
Article de En | MEDLINE | ID: mdl-38004844
ABSTRACT
Exploiting the terahertz (THz) part of the electromagnetic spectrum is attracting attention in various scientific and applied disciplines worldwide. THz technology has also revealed its potential as an effective tool for gas analysis in astronomy, biomedicine and chemical analysis. Recently, it has also become important in environmental applications for monitoring hazardous and toxic gases in the atmosphere. This paper gives an overview of THz gas detection analytical methods for environmental and biomedical applications, starting with a brief introduction to THz technology and an explanation of the interaction of THz radiation with gaseous species and the atmosphere. The review focuses on several gaseous species and groups of air pollutants that have been or can be analysed by THz spectrometry. The review concludes that different but complementary THz detection methods allow unique detection, identification and quantification of gaseous and particulate air pollutants with high selectivity, specificity and sensitivity. THz detection methods also allow further technological improvements and open new application possibilities.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Micromachines (Basel) Année: 2023 Type de document: Article Pays d'affiliation: Slovénie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Micromachines (Basel) Année: 2023 Type de document: Article Pays d'affiliation: Slovénie
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