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Determination of safranal concentration in saffron samples by means of VE-tongue, SPME-GC-MS, UV-vis spectrophotometry and multivariate analysis

  • An experimental investigation has been carried out to characterize and discriminate seven saffron samples and to verify their declared geographical origin using a voltammetric electronic tongue (VE-tongue). The ability of multivariable analysis methods such as Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) to classify the saffron samples according to their geographical origin have been investigated. A good discrimination has reached using PCA and HCA in the VE-tongue characterization case. Furthermore, cross validation and Partial Least Square (PLS) techniques were applied in order to build suitable management and prediction models for the determination of safranal concentration in saffron samples based on SPME-GC-MS and UV-Vis Spectrophotometry. The obtained results reveals that some relationships were established between the VE-tongue signal, SPMEGC-MS and UV-Vis spectrophotometry methods to predict safranal concentration levels in saffron samples by usingAn experimental investigation has been carried out to characterize and discriminate seven saffron samples and to verify their declared geographical origin using a voltammetric electronic tongue (VE-tongue). The ability of multivariable analysis methods such as Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) to classify the saffron samples according to their geographical origin have been investigated. A good discrimination has reached using PCA and HCA in the VE-tongue characterization case. Furthermore, cross validation and Partial Least Square (PLS) techniques were applied in order to build suitable management and prediction models for the determination of safranal concentration in saffron samples based on SPME-GC-MS and UV-Vis Spectrophotometry. The obtained results reveals that some relationships were established between the VE-tongue signal, SPMEGC-MS and UV-Vis spectrophotometry methods to predict safranal concentration levels in saffron samples by using the PLS model. In the light of these results, we can say that the proposed electronic system offer a fast, simple and efficient tool to recognize the declared geographical origin of the saffron samples.zeige mehrzeige weniger

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  • Saffron-IEEE SENSORS 2015 Proceedings.pdf
    eng
  • Huebert_IEEESensors2015_Titelblatt.pdf
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Metadaten
Autoren/innen:K. Tahri, Carlo Tiebe, M. Bougrini, T. Saidi, N. El Alami-El Hassani, N. El Bari, Thomas Hübert, B. Bouchikhi
Dokumenttyp:Beitrag zu einem Tagungsband
Veröffentlichungsform:Verlagsliteratur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):Proceedings of IEEE Sensors 2015
Jahr der Erstveröffentlichung:2015
Organisationseinheit der BAM:6 Materialschutz und Oberflächentechnik
6 Materialschutz und Oberflächentechnik / 6.4 Technologien mit Nanowerkstoffen
Herausgeber (Institution):IEEE
Verlag:IEEE
Verlagsort:Piscataway
Jahrgang/Band:CFP15SEN-USB
Erste Seite:68
Letzte Seite:71
DDC-Klassifikation:Naturwissenschaften und Mathematik / Chemie / Analytische Chemie
Freie Schlagwörter:Chemometrics; Geographic differentiation; SPME-GC-MS; Saffron; UV-vis Spectrometry; Voltammetric electronic tongue
Themenfelder/Aktivitätsfelder der BAM:Analytical Sciences
Veranstaltung:IEEE Sensor 2015
Veranstaltungsort:Busan, South Korea
Beginndatum der Veranstaltung:01.11.2015
Enddatum der Veranstaltung:04.11.2015
URL:http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000380440800019
ISBN:978-1-4799-8202-8
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:22.06.2016
Referierte Publikation:Ja
Datum der Eintragung als referierte Publikation:12.09.2016