OrangerV1, Main, Exploration, bibRecord, 001447

Use of HS‐SPME‐GC‐MS for the classification of Italian lemon, orange and citrus spp. honeys

Identifieur interne : 001447 ( Main/Exploration ); précédent : 001446; suivant : 001448

Use of HS‐SPME‐GC‐MS for the classification of Italian lemon, orange and citrus spp. honeys

Auteurs : Giulia Papotti [Italie] ; Davide Bertelli [Italie] ; Maria Plessi [Italie]

Source :

International Journal of Food Science & Technology [ 0950-5423 ] ; 2012-11.

RBID : ISTEX:5701F9084137ACAFCCC242F9B1E0D94FA42E08C2

Descripteurs français

Pascal (Inist)
- Aliment, Assurance qualité, Chimiométrie, Citron, Citrus, Classification, Microextraction phase solide, Miel, Orange, Qualité, Utilisation.
Wicri :
- topic : Classification, Miel.

English descriptors

KwdEn :
- Chemometrics, Citrus, Classification, Food, Honey, Lemon, Orange, Quality, Quality assurance, Solid phase microextraction, Use.

Abstract

Volatile compounds from 90 Italian citrus honeys of different varieties (lemon, Citrus limon (L.) Burm., orange, Citrus sinensis (L.) Osbeck, and citrus, Citrus spp.), 30 provided by CRA‐API (Consiglio per la Ricerca e la Sperimentazione in Agricoltura‐Unità di ricerca di apicoltura e bachicoltura) (Bologna, Italy) and 60 purchased on the markets, were analysed to classify them according to the characteristic aroma profiles. A HS‐SPME‐GC method previously developed and validated was applied. Factor analysis and general discriminant analysis (GDA) were carried out on peaks and intensity data. Statistical analyses revealed a good separation between samples; the best model based on peaks data shows 66.5% and 33.5% of total variance explained by the first and the second canonical functions and a predictive capacity of 78.9%. Regarding the intensity data, the CFs of the GDA model explain 53.8% and 46.2% of the total variance and the crossvalidation shows a predictive capacity of 96.7%.

Url:

https://api.istex.fr/document/5701F9084137ACAFCCC242F9B1E0D94FA42E08C2/fulltext/pdf

DOI: 10.1111/j.1365-2621.2012.03109.x

Affiliations:

Italie

Le document en format XML

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<front><div type="abstract">Volatile compounds from 90 Italian citrus honeys of different varieties (lemon, Citrus limon (L.) Burm., orange, Citrus sinensis (L.) Osbeck, and citrus, Citrus spp.), 30 provided by CRA‐API (Consiglio per la Ricerca e la Sperimentazione in Agricoltura‐Unità di ricerca di apicoltura e bachicoltura) (Bologna, Italy) and 60 purchased on the markets, were analysed to classify them according to the characteristic aroma profiles. A HS‐SPME‐GC method previously developed and validated was applied. Factor analysis and general discriminant analysis (GDA) were carried out on peaks and intensity data. Statistical analyses revealed a good separation between samples; the best model based on peaks data shows 66.5% and 33.5% of total variance explained by the first and the second canonical functions and a predictive capacity of 78.9%. Regarding the intensity data, the CFs of the GDA model explain 53.8% and 46.2% of the total variance and the crossvalidation shows a predictive capacity of 96.7%.</div>
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Use of HS‐SPME‐GC‐MS for the classification of Italian lemon, orange and citrus spp. honeys

Use of HS‐SPME‐GC‐MS for the classification of Italian lemon, orange and citrus spp. honeys

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

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