English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/149687
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Volatile profiles of green Spanish-style table olives: Application of compositional data analysis for the segregation of their cultivars and production areas

AuthorsGarrido Fernández, A. ; Montaño, Alfredo ; Sánchez Gómez, Antonio Higinio ; Cortés Delgado, Amparo ; López-López, Antonio
KeywordsGreen table olives
Volatile profiles
Fermentation
Compositional data analysis
Multivariate analysis
Issue DateJul-2017
PublisherElsevier
CitationTalanta 169: 77–84 (2017)
AbstractThe work presents the application of compositional data methodology to analytical results, taking as an example the study of the volatile profiles of green Spanish-style table olives according to cultivars and production areas. For this purpose, the volatile compounds (analysed by GC-MS and expressed as percentages of the total area) were considered as a compositional data set in the Simplex space and, as a result, analysed by their specific new statistical tools. Application of compositional exploratory tools (variation array, tertiary graphs, biplots, or coda-dendrogram) allowed differentiating cultivars and production areas based on their volatile profiles. Also, the application of Cluster and Principal Component analysis to the ilr transformed values (coordinates), following the new methodology, led to more realistic results than the formally incorrect implementation of the standard multivariate analysis (developed for data from the Euclidean space) to percentages (data in the Simplex). Therefore, the work presents a novel consideration of the volatile profiles of table olives as compositional data and shows their proper analysis by statistical tools specifically developed for them.
Description36 Páginas; 6 Figuras
Publisher version (URL)http://dx.doi.org/10.1016/j.talanta.2017.03.066
URIhttp://hdl.handle.net/10261/149687
DOI10.1016/j.talanta.2017.03.066
ISSN0039-9140
E-ISSN1873-3573
Appears in Collections:(IG) Artículos
Files in This Item:
File Description SizeFormat 
Postprint_2017_Talanta_V169_P77.pdfArtículo principal985,37 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.