KIT | KIT-Bibliothek | Impressum | Datenschutz

Sniff Species: SURMOF-Based Sensor Array Discriminates Aromatic Plants beyond the Genus Level

Okur, Salih 1; Li, Chun 1; Zhang, Zejun 1; Pratap, Sahi Vaidurya 2; Sarheed, Mohammed 2; Kanbar, Adnan 2; Franke, Leonard 3; Geislhöringer, Felix 3; Heinke, Lars 1; Lemmer, Uli 3,4; Nick, Peter 2; Wöll, Christof 1
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
3 Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
4 Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)


Lamiaceae belong to the species-richest family of flowering plants and harbor many species that are used as herbs or in medicinal applications such as basils or mints. The evolution of this group has been driven by chemical speciation, mainly volatile organic compounds (VOCs). The commercial use of these plants is characterized by adulteration and surrogation to a large extent. Authenticating and discerning this species is thus relevant for consumer safety but usually requires cumbersome analytics, such as gas chromatography, often coupled with mass spectroscopy. Here, we demonstrate that quartz-crystal microbalance (QCM)-based electronic noses provide a very cost-efficient alternative, allowing for fast, automated discrimination of scents emitted from the leaves of different plants. To explore the range of this strategy, we used leaf material from four genera of Lamiaceae along with lemongrass, which is similarly scented but from an unrelated outgroup. To differentiate the scents from different plants unambiguously, the output of the six different SURMOF/QCM sensors was analyzed using machine learning (ML) methods together with a thorough statistical analysis. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000136135
Veröffentlicht am 12.08.2021
DOI: 10.3390/chemosensors9070171
Zitationen: 3
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Botanisches Institut (BOTANIK)
Institut für Funktionelle Grenzflächen (IFG)
Institut für Mikrostrukturtechnik (IMT)
Lichttechnisches Institut (LTI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2227-9040
KITopen-ID: 1000136135
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Chemosensors
Verlag MDPI
Band 9
Heft 7
Seiten Art.-Nr. 171
Bemerkung zur Veröffentlichung This article belongs to the Special Issue Recent Advances in Quartz Crystal Microbalance-Based Sensor Applications
Vorab online veröffentlicht am 06.07.2021
Nachgewiesen in Scopus
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page