期刊
FOOD CHEMISTRY
卷 145, 期 -, 页码 653-663出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2013.08.061
关键词
Headspace solid phase microextraction (HS-SPME); Gas-chromatography-single quadrupole mass spectrometry (GC-qMS); Tomato; Lycopersicon esculentum L. cultivars; Volatile metabolites; Multivariate analysis
资金
- Portuguese Foundation for Science and Technology (FCT) [QUI-Madeira-674]
- Portuguese National Mass Spectrometry Network [REDE/1508/RNEM/2005]
To gain insights on the effects of cultivar on the volatile metabolomic expression of different tomato (Lycopersicon esculentum L) cultivars - Plum, Campari, Grape, Cherry and Regional, cultivated under similar edafoclimatic conditions, and to identify the most discriminate volatile marker metabolites related to the cultivar, the chromatographic profiles resulting from headspace solid phase microextraction (HS-SPME) and gas chromatography-mass spectrometry (GC-qMS) analysis, combined with multivariate analysis were investigated. The data set composed by the 77 volatile metabolites identified in the target tomato cultivars, 5 of which (2,2,6-trimethylcyclohexanone, 2-methyl-6-methyleneoctan-2-ol, 4-octadecyl-morpholine, (Z)-methyl-3-hexenoate and 3-octanone) are reported for the first time in tomato volatile metabolomic composition, was evaluated by chemometrics. Firstly, principal component analysis was carried out in order to visualise data trends and clusters, and then, linear discriminant analysis in order to detect the set of volatile metabolites able to differentiate groups according to tomato cultivars. The results obtained revealed a perfect discrimination between the different Lycopersicon esculentum L cultivars considered. The assignment success rate was 100% in classification and 80% in prediction ability by using leave-one-out cross-validation procedure. The volatile profile was able to differentiate all five cultivars and revealed complex interactions between them including the participation in the same biosynthetic pathway. The volatile metabolomic platform for tomato samples obtained by HS-SPME/GC-qMS here described, and the interrelationship detected among the volatile metabolites can be used as a roadmap for biotechnological applications, namely to improve tomato aroma and their acceptance in the final consumer, and for traceability studies. (C) 2013 Elsevier Ltd. All rights reserved.
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