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Classification and Identification of Perfume Scents by an Enantioselective Colorimetric Sensor Array of Chiral Metal‐Organic‐Framework‐Based Fabry‐Pérot Films

Zhan, Kuo 1; Kanj, Anemar Bruno 1; Heinke, Lars 1
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)

Abstract:

Many odors, like perfumes, are complex mixtures of chiral and achiral molecules where the cost-efficient (enantio−)selective sensing represents a major technical challenge. Here, we present a colorimetric sensor array of surface-mounted metal-organic-framework (SURMOF) films in Fabry-Pérot (FP) cavities. The optical properties of the FP-SURMOF films with different chiral and achiral structures are affected by the (enantio−)selective adsorption of the analytes in the SURMOF pores, resulting in different responses to the analyte molecules. The read-out of the sensor array is performed by the digital camera of a common smartphone, where the RGB values are determined. By analyzing the sensor array data with simple machine learning algorithms, the analytes are discriminated. After demonstrating the enantioselective response for a pair of pure chiral odor molecules, we apply the sensor array to detect and discriminate a large number (16) of common commercial perfumes and eau de toilettes. While our untrained human nose is not able to discriminate all perfumes, the presented colorimetric sensor array can classify all perfumes with great classification accuracy. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000171413
Veröffentlicht am 10.06.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Funktionelle Grenzflächen (IFG)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 22.05.2024
Sprache Englisch
Identifikator ISSN: 0947-6539, 1521-3765
KITopen-ID: 1000171413
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Chemistry – A European Journal
Verlag John Wiley and Sons
Seiten Art.-Nr.: e202400798
Vorab online veröffentlicht am 16.04.2024
Nachgewiesen in Web of Science
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Scopus
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