Gas chromatography ion mobility spectrometry (GC-IMS) dataset of honey samples with different botanical origins.
Chemometrics
Food fraud detection
Multivariate data analysis
Non-target screening
Volatile organic compounds
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Jun 2024
Jun 2024
Historique:
received:
02
04
2024
revised:
06
05
2024
accepted:
13
05
2024
medline:
13
6
2024
pubmed:
13
6
2024
entrez:
13
6
2024
Statut:
epublish
Résumé
Gas chromatography ion mobility spectrometry (GC-IMS) is a robust and sensitive benchtop technique commonly used for non-target screening of volatile organic compounds. It has been applied to authenticity analysis by generating characteristic "fingerprints" of food samples, well suited for chemometric data analysis. This dataset contains headspace GC-IMS spectra from 50 monofloral honey samples from three different botanical origins, 18 acacia honeys (
Identifiants
pubmed: 38868389
doi: 10.1016/j.dib.2024.110532
pii: S2352-3409(24)00499-2
pmc: PMC11166684
doi:
Types de publication
Journal Article
Langues
eng
Pagination
110532Informations de copyright
© 2024 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.