1. Discrimination of geographical origin of oranges (Citrus sinensis L. Osbeck) by mass spectrometry-based electronic nose and characterization of volatile compounds.
- Author
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Centonze V, Lippolis V, Cervellieri S, Damascelli A, Casiello G, Pascale M, Logrieco AF, and Longobardi F
- Subjects
- Citrus sinensis metabolism, Discriminant Analysis, Electronic Nose, Gas Chromatography-Mass Spectrometry, Italy, Principal Component Analysis, Solid Phase Microextraction, South Africa, Spain, Volatile Organic Compounds isolation & purification, Citrus sinensis chemistry, Volatile Organic Compounds analysis
- Abstract
An untargeted method using headspace solid-phase microextraction coupled to electronic nose based on mass spectrometry (HS-SPME/MS-eNose) in combination with chemometrics was developed for the discrimination of oranges of three geographical origins (Italy, South Africa and Spain). Three multivariate statistical models, i.e. PCA/LDA, SELECT/LDA and PLS-DA, were built and relevant performances were compared. Among the tested models, SELECT/LDA provided the highest prediction abilities in cross-validation and external validation with mean values of 97.8% and 95.7%, respectively. Moreover, HS-SPME/GC-MS analysis was used to identify potential markers to distinguish the geographical origin of oranges. Although 28 out of 65 identified VOCs showed a different content in samples belonging to different classes, a pattern of analytes able to discriminate simultaneously samples of three origins was not found. These results indicate that the proposed MS-eNose method in combination with multivariate statistical analysis provided an effective and rapid tool for authentication of the orange's geographical origin., (Copyright © 2018 Elsevier Ltd. All rights reserved.)
- Published
- 2019
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