Unraveling the impact of the capsule material on the aroma of brewed coffee by headspace analysis using a HiSorb probe followed by reverse fill/flush flow modulation GC×GC-MS.
Chemometrics
Coffee
Headspace (HS)
HiSorb
Multidimensional comprehensive gas chromatography (GC×GC)
Solid-phase microextraction (SPME)
Journal
Analytical and bioanalytical chemistry
ISSN: 1618-2650
Titre abrégé: Anal Bioanal Chem
Pays: Germany
ID NLM: 101134327
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
received:
26
08
2022
accepted:
22
11
2022
revised:
28
10
2022
medline:
2
5
2023
pubmed:
10
12
2022
entrez:
9
12
2022
Statut:
ppublish
Résumé
The present paper discusses the use of a high-concentration-capacity tool, HiSorb, to investigate the impact of capsule material on the aroma profile of espresso-brewed coffee. The specific high-concentration-capacity probe used is characterized by a sorbent volume (63 μL) intermediate between the solid-phase microextraction (SPME) fiber (0.6 μL) and the stir-bar sorptive extraction rod (126 μL). The extraction performance of the HiSorb was compared, in terms of both absolute signal and compound coverage, with both an equivalent sorbent (polydimethylsiloxane) and a divinylbenzene/carboxen/polydimethylsiloxane SPME fiber using both targeted and untargeted approaches. The HiSorb showed superior extraction compared with the SPME fibers. The HiSorb was then optimized in terms of extraction time and temperature and used to investigate the volatile profile of 23 espresso-brewed coffees prepared with capsules made of different materials-aluminum, compostable, and aluminum multilayer pack-prepared using a refillable capsule. Comprehensive two-dimensional gas chromatography equipped with a reverse fill/flush flow modulator and coupled to mass spectrometry was used to obtain a chromatographic fingerprint of the volatile profile of the brewed coffee. The data were aligned and compared using a tile-based approach, and the results were obtained by performing raw data mining within the same software platform. The data mining enabled the extraction of informative features responsible for the differentiation between the different capsule materials, showing a significant depletion in aroma intensity in the compostable capsule.
Identifiants
pubmed: 36482082
doi: 10.1007/s00216-022-04457-x
pii: 10.1007/s00216-022-04457-x
doi:
Substances chimiques
Coffee
0
Aluminum
CPD4NFA903
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2511-2521Informations de copyright
© 2022. Springer-Verlag GmbH Germany, part of Springer Nature.
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