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Analytical dataset on volatile compounds of cocoa bean shells from different cultivars and geographical origins.
Barbosa-Pereira, Letricia; Rojo-Poveda, Olga; Ferrocino, Ilario; Giordano, Manuela; Zeppa, Giuseppe.
Affiliation
  • Barbosa-Pereira L; Department of Agriculture, Forestry and Food Sciences (DISAFA), University of Turin, Grugliasco, Italy.
  • Rojo-Poveda O; Department of Agriculture, Forestry and Food Sciences (DISAFA), University of Turin, Grugliasco, Italy.
  • Ferrocino I; RD3 Department-Unit of Pharmacognosy, Bioanalysis and Drug Discovery, Faculty of Pharmacy, Université Libre de Bruxelles, Brussels, Belgium.
  • Giordano M; Department of Agriculture, Forestry and Food Sciences (DISAFA), University of Turin, Grugliasco, Italy.
  • Zeppa G; Department of Agriculture, Forestry and Food Sciences (DISAFA), University of Turin, Grugliasco, Italy.
Data Brief ; 25: 104268, 2019 Aug.
Article in En | MEDLINE | ID: mdl-31453285
ABSTRACT
This data article describes the analysis of volatile organic compounds (VOCs) in 44 samples of cocoa bean shells (CBS) obtained from cocoa beans of diverse cultivars and collected in different geographical origins. The volatile compounds were extracted by headspace solid-phase microextraction (HS-SPME) method and then analyzed by gas chromatography coupled to a quadrupole mass spectrometry GC-qMS. The retention times, identification and semi-quantification of 101 VOCs are reported. Data collected on the volatile profile of CBS samples using E-nose analysis are also available. Additional data related to physicochemical characteristics and color analysis for CBS samples are reported. Further interpretation and discussion on these datasets can be found in the related article entitled "Assessment of volatile fingerprint by HS-SPME/GC-qMS and E-nose for the classification of cocoa bean shells using chemometrics" (Barbosa-Pereira et al., 2019).
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Data Brief Year: 2019 Document type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Data Brief Year: 2019 Document type: Article Affiliation country: Italy