Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 539627
Title Similarities and differences of the volatile profiles of six spices explored by Proton Transfer Reaction Mass Spectrometry
Author(s) Silvis, I.C.J.; Luning, P.A.; Klose, N.; Jansen, M.; Ruth, S.M. van
Source Food Chemistry 271 (2019). - ISSN 0308-8146 - p. 318 - 327.
Department(s) BU Authenticity & Bioassays
Food Quality and Design
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) 2-Butanone (PubChem CID: 6569) - Acetic acid (PubChem CID: 176) - Aroma - Cinnamaldehyde (PubChem CID: 637511) - Estragole (PubChem CID: 8815) - Fingerprints - Methanol (PubChem CID: 887) - Non-destructive - P-cymene (PubChem CID: 7463) - PTR-TOFMS - Safranal (PubChem CID: 61041) - Volatile compounds

Aroma properties of spices are related to the volatile organic compounds (VOCs) present, which can provide distinct analytical signatures. The aim of the study was to examine similarity and diversity of VOC profiles of six common market spices (black/white pepper, chili paprika, cinnamon, nutmeg and saffron). The key volatiles were identified by PTR-TOFMS. Twelve samples per spice were subjected to PTR-Quadrupole MS (PTR-QMS) and Principal Component Analysis to compare the groups and examine diversity. With PTR-TOFMS, 101 volatile compounds were identified as total sum across all samples by mass and comparing them with literature data. Some spices comprised key character aroma compounds, e.g. cinnamaldehyde in cinnamon. For others, VOC groups, such as terpenes, acids and aldehydes topped the list. The PTR-QMS in combination with variables selection resulted in distinct PCA patterns for each spice. Variation within the spice groups was observed, but varied with the kind of spice. The results are valuable for future authentication studies.

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